Leading With Data· a Bicycle Guide
Guide highlights

You make rapid, focused progress and know within a week whether you're on the right track. You get clear customer data and confidence before committing months and money.

  • Set the stage: pick a challenge, get a Decider, recruit a diverse seven-person team, and clear five days.
  • Monday: start at the end, map the problem, ask experts, and pick a target.
  • Tuesday: find inspiration and sketch competing solutions individually.

Book profile

Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

One book, placed in its field — what this book gets right, where it goes further than the rest, and what the rest of the field adds.

Edited by Mike West

Choose a reading path or an exercise

Suggested sections

Choose a starting point below. Each link opens a section of this guide.

Do this now — Big Challenge Selection

  1. List the three problems the team keeps circling in meetings and rank them by what a wrong decision would cost in months and money.
  2. Favor the challenge where you are stuck, short on time, or facing a critical launch, since those conditions give the Decider a reason to clear the calendar.
  3. State the challenge in one sentence a non-team executive would recognize as important.
  4. Confirm the problem can plausibly yield a testable prototype in a day; if it can't, narrow it to a slice that can.

Then continue in Big Challenge Selection.

Edition 1·Updated 2026-10-03·26 min read

Sources

About this book

An overview of the book, with source information for further reading.

A step-by-step playbook for running a five-day 'sprint' that lets teams answer their most important questions by prototyping and testing ideas with real customers before committing significant time and money.

More on this book

Sprint distills the methods Jake Knapp, John Zeratsky, and Braden Kowitz developed and refined across 100+ engagements at Google Ventures into a practical, day-by-day guide for solving big problems fast. Instead of endless meetings, churning email, and months-long projects built on untested assumptions, a sprint compresses the work into a single focused week: Monday you map the problem and pick a target, Tuesday you sketch competing solutions, Wednesday you decide which to test, Thursday you build a realistic façade-style prototype, and Friday you put it in front of five target customers and learn. Rich with stories—a hotel-delivery robot, a coffee company's online store, a cancer-trial matching tool, fitness software, and workplace messaging—the book shows that any challenge, no matter how large, can benefit because you solve the surface first and learn the hard way without the hard way. It's a book for experts and beginners alike who have a big opportunity or problem and need to start with confidence.

Movement I

Orient

In this part

What this book claims, and who wrote it.

  • — The book's one-line promise
  • — The author and where the book stands

A step-by-step playbook for running a five-day 'sprint' that lets teams answer their most important questions by prototyping and testing ideas with real customers before committing significant time and money.

The need-to-know

A five-day sprint (map, sketch, decide, prototype, test) lets teams answer crucial questions with real customer data in one week. Start at the end: define a long-term goal and the questions that must be answered, then work backward. Decisions should be made by an empowered Decider using structured, low-debate techniques like dot voting and supervotes.

About this guide

The guide describes these challenges, steps and possible outcomes.

Who it is for

An entrepreneur, team leader, or maker with a bold vision who wants to deliver an idea, product, or service to the world and make their time at work count.

Challenges

  • In practice · They face a big, high-stakes problem and don't know where to focus effort, how to start, or whether their idea will actually work.
  • For the reader · They feel stuck, overwhelmed by churn—endless email, slipping deadlines, meetings—and anxious that their effort isn't going toward what matters most.

Steps to consider

  1. 1Set the stage: pick a challenge, get a Decider, recruit a diverse seven-person team, and clear five days.
  2. 2Monday: start at the end, map the problem, ask experts, and pick a target.
  3. 3Tuesday: find inspiration and sketch competing solutions individually.
  4. 4Wednesday: decide on the best solutions and build a storyboard.
  5. 5Thursday: build a realistic façade prototype.
  6. 6Friday: interview five target customers and learn from their reactions.

Risks

You stay stuck in churn, burning months and money on untested assumptions. Risky ideas fail expensively in the real world after you're too committed to change.

Intended result

You make rapid, focused progress and know within a week whether you're on the right track. You get clear customer data and confidence before committing months and money.

Set the record straight

What this book sets straight

The common beliefs this book pushes back on.

The myth

Group brainstorming where everyone shouts out ideas produces the best solutions.

The reality

Individuals working alone generate better, higher-quality solutions; teams should 'work alone together' and use structured decision-making.

The myth

You must build and launch a real, polished product to learn whether an idea is any good.

The reality

A realistic façade prototype built in a single day gets you to ~90% real and yields trustworthy customer reactions.

The myth

Big or complicated problems are too large to tackle in a short sprint.

The reality

No problem is too large: the sprint forces focus on the most pressing questions and lets you test the surface before building the underlying systems.

The myth

You need large-scale data from thousands of users to trust your findings.

The reality

Five carefully selected target customers reveal roughly 85% of the important patterns in a single day.

The myth

More time and longer hours lead to better results.

The reality

A tight five-day timebox with six-hour days creates urgency, focus, and prevents over-attachment to ideas.

Movement II

Map

The book's main ideas and how they connect.

In this part

Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days's own model — and how it sits inside its field.

  • — 13 constructs the book works with
  • — Where it agrees with the field, exceeds it, or fills a gap
The Conditions1· the context you inherit
Focused Time and Space
What You Design4· the levers you pull
Big Challenge SelectionDecider EngagementTeam Diversity and ExpertiseCustomer Testing with Five Users
What It Produces2· the states it creates
Shared UnderstandingValidated Learning
What You Do4· the behaviours that follow
Concrete Solution GenerationStructured Decision MakingProblem Framing and TargetRealistic Prototype (Façade)

The constructs

Big Challenge Selection

The deliberate choice to focus the sprint on a high-stakes, time-pressured, or stuck problem that is important enough to justify the team's full energy and attention for a week.

Decider Engagement

The active, authoritative participation of an empowered decision-maker (or delegate) who provides vision, criteria, and makes binding choices throughout the sprint rather than ceding authority to consensus.

Team Diversity and Expertise

The composition of a small (seven or fewer) cross-functional team that includes the people who build the product plus extra experts and troublemakers, ensuring distributed knowledge is available in the room.

Focused Time and Space

The structural conditions of a cleared five-day calendar, six-hour timeboxed days, a no-devices rule, and a whiteboard-rich room that eliminate fragmentation and concentrate attention on a single challenge.

Problem Framing and Target

The Monday output of a long-term goal, sprint questions, a customer-centric map, and a single chosen target customer and moment that aligns the team and directs all subsequent effort.

Shared Understanding

The team psychological state of common, aligned comprehension of the problem, customer, opportunity, and risk built through expert interviews, How Might We notes, mapping, and the visible 'shared brain' of the whiteboards.

Concrete Solution Generation

The Tuesday activity of individuals working alone together to transform abstract ideas into detailed, self-explanatory solution sketches that can be fairly evaluated without sales pitches.

Structured Decision Making

The Wednesday sticky-decision process (art museum, heat map, speed critique, straw poll, supervote) plus Rumble logic that produces crisp, low-debate choices reflecting team priorities while avoiding groupthink.

Realistic Prototype (Façade)

The Thursday output of a Goldilocks-quality, disposable façade built in one day that appears real enough to evoke honest reactions while requiring minimal investment.

Customer Testing with Five Users

The Friday practice of conducting Five-Act Interviews with five target customers, watched together by the team, to elicit honest reactions and the 'why' behind them.

Validated Learning

The team state of insight gained from observing genuine customer reactions—identifying patterns of success and failure—that answers sprint questions and reveals the 'why' before expensive commitment.

Confident Next-Step Decisionthe outcome

The outcome of the team and Decider knowing, with evidence, whether and how to proceed—classified as efficient failure or flawed success—and what to build or fix next.

Risk Reduction and Progress Toward Goal

The ultimate business outcome of saving time and money by avoiding wrong paths and accelerating real-world success toward the long-term goal, measured by downstream results like adoption or sales growth.

How they connect (12)
  • Big Challenge Selection → influences → Problem Framing and Target
  • Team Diversity and Expertise → predicts → Shared Understanding
  • Focused Time and Space → influences → Concrete Solution Generation
  • Problem Framing and Target → predicts → Shared Understanding
  • Shared Understanding → predicts → Concrete Solution Generation
  • Concrete Solution Generation → predicts → Structured Decision Making
  • Decider Engagement → moderates → Structured Decision Making
  • Structured Decision Making → predicts → Realistic Prototype (Façade)
  • Realistic Prototype (Façade) → mediates → Validated Learning
  • Customer Testing with Five Users → predicts → Validated Learning
  • Validated Learning → predicts → Confident Next-Step Decision
  • Confident Next-Step Decision → predicts → Risk Reduction and Progress Toward Goal

Where this book diverges from the corpus

  • fills gap The pre-match to Market Focus / Beachhead Selection is wrong: the book picks which problem deserves a week of full-team effort, not a market segment, and the field's model has no construct for choosing a high-stakes problem to attack.
  • fills gap The pre-match to Customer Retention is spurious; the book's point is that an empowered decision-maker stays active and binding during a time-boxed effort, which the field's model of founder mindset and culture does not cover.
  • fills gap The field covers founding-team capability and complementarity, but not assembling a small ad-hoc cross-functional sprint team with experts and troublemakers for a single project.
  • fills gap The book's concrete conditions of a cleared calendar, six-hour days, no devices and whiteboard rooms have no counterpart in the field's constructs.
  • exceeds The field wants a single concrete target customer, and the book goes further with a Monday ritual that produces a long-term goal, sprint questions, a customer map and a chosen target moment.
  • exceeds The field treats alignment as culture and values, while the book builds it quickly through expert interviews, How Might We notes and mapping.

Movement III

Master

Explore the book's ideas, examples and practical tools.

In this part

How the author makes the case — section by section, with the book's own tools.

  • — 13 sections, in the book's order
  • — The book's frameworks, checklists, and worked cases
Shared Understanding
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section explains how a group of individuals builds a common picture of problem, customer, and risk. It points to the practices that make that picture visible.

Shared Understanding

The team psychological state of common, aligned comprehension of the problem, customer, opportunity, and risk built through expert interviews, How Might We notes, mapping, and the visible 'shared brain' of the whiteboards.

Why it matters. Teams that skip alignment sketch inside private versions of the problem, and the group's choices reflect whoever argued best rather than what the team actually knows.

Myth

Practitioners believe a good briefing deck or kickoff presentation gives everyone the same understanding.

Reality

Understanding forms when people hear experts in their own words, write How Might We notes, and see their knowledge organized on a shared wall; passive receipt of a deck leaves each person with a different mental model. The wall holds the team's understanding where everyone can point at it.

Tools for this
The least you need to know
  • Shared understanding is built by listening and writing together, not by receiving a briefing.
  • Visible walls turn private knowledge into a team resource.
  • Test alignment by having people restate the target in their own words.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Shared Brain Setup & Capture Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Concrete Solution Generation
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section covers Tuesday's shift from understanding to detailed solutions. It focuses on the individual sketching process and why it replaces group brainstorming.

Concrete Solution Generation

The Tuesday activity of individuals working alone together to transform abstract ideas into detailed, self-explanatory solution sketches that can be fairly evaluated without sales pitches.

Why it matters. Abstract ideas can't be fairly compared, so teams that skip concrete sketches end up choosing the most persuasive pitch rather than the best solution.

Myth

Practitioners believe group brainstorming is the most creative way to produce ideas, and that sketching should be left to the designers.

Reality

People generate stronger and more varied ideas working alone in parallel, and everyone can sketch a clear enough storyboard when the format is structured. Detail is what lets a solution be judged without its author defending it.

Tools for this
The least you need to know
  • Individual sketching in parallel beats group brainstorming for volume and variety.
  • A solution must be self-explanatory enough to be judged without its author.
  • Anonymous, detailed sketches keep persuasion out of the evaluation.
Master this◆ Paid

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Tuesday Solo Sketch Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Structured Decision Making
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section lays out Wednesday's decision sequence, from silent review to supervote. It shows how to reach firm choices without long debate.

Structured Decision Making

The Wednesday sticky-decision process (art museum, heat map, speed critique, straw poll, supervote) plus Rumble logic that produces crisp, low-debate choices reflecting team priorities while avoiding groupthink.

Why it matters. Open debate rewards the loudest voice and the most senior opinion, so unstructured decisions yield diluted, politically safe prototypes.

Myth

Practitioners believe the fair way to decide is to discuss until the group reaches consensus, or to average everyone's preferences into a combined solution.

Reality

Silent voting captures each person's independent judgment and keeps debate short, while the Decider's supervote supplies the commitment consensus can't. Combining every favorite idea usually yields an incoherent prototype, so Rumble logic tests competing ideas side by side.

Tools for this
The least you need to know
  • Silent voting preserves independent judgment and prevents groupthink.
  • Supervotes from the Decider deliver firm commitment without a debate.
  • Use a Rumble for rival ideas rather than blending them into one.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Wednesday Decision Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Realistic Prototype (Façade)
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section explains how to build a convincing façade in a single day. It focuses on the quality bar and the division of work.

Realistic Prototype (Façade)

The Thursday output of a Goldilocks-quality, disposable façade built in one day that appears real enough to evoke honest reactions while requiring minimal investment.

Why it matters. A prototype too rough yields polite confusion while one too polished eats the week and the team's attachment, and either way Friday's feedback can't be trusted.

Myth

Practitioners think a prototype must be a working, minimal version of the product and so need engineers to build real functionality.

Reality

Customers only need the surface to feel real; a façade built with ordinary tools like Keynote or props fools them into reacting honestly while costing a day. The goal is learning, so anything deeper than the customer will see is waste.

Tools for this
The least you need to know
  • Fake the surface and skip the engine; customers judge only what they see.
  • Real-sounding content matters more than visual perfection.
  • A trial run Thursday afternoon catches the errors that would derail Friday.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Thursday Façade Build Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Customer Testing with Five Users
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section covers Friday's interviews with five customers. It shows how to run them and how the team watches together.

Customer Testing with Five Users

The Friday practice of conducting Five-Act Interviews with five target customers, watched together by the team, to elicit honest reactions and the 'why' behind them.

Why it matters. Weak interviews return flattery or confusion, whereas well-run ones expose patterns that the team couldn't see from inside its own assumptions.

Myth

Practitioners believe five users is too small a sample to trust, or that the person who designed the product should explain it to customers.

Reality

Patterns in qualitative reactions emerge quickly, and by the fifth interview most major findings repeat, so volume matters less than watching reactions live. The interviewer must stay neutral and ask open questions so customers voice their own reasons.

Tools for this
The least you need to know
  • Five interviews are enough to reveal the main patterns of success and failure.
  • A neutral interviewer asking open questions draws out genuine reactions.
  • Watching together in real time prevents each person from remembering a different test.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Friday Customer Test Setup Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Validated Learning
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section explains how to turn Friday's observations into evidence. It shows how the team reads patterns and answers the sprint questions.

Validated Learning

The team state of insight gained from observing genuine customer reactions—identifying patterns of success and failure—that answers sprint questions and reveals the 'why' before expensive commitment.

Why it matters. Without disciplined pattern reading, teams cherry-pick the reactions that confirm their hopes and walk away with false confidence rather than usable evidence.

Myth

Practitioners believe a reaction is meaningful only if the majority of customers say the same thing, or that one memorable comment settles a question.

Reality

Insight comes from patterns across the notes grid, recorded before anyone interprets, along with the customer's reasons behind each reaction. A single vivid quote is an anecdote, while three of five people stumbling at the same step is a finding.

Tools for this
The least you need to know
  • Patterns across several customers are evidence; single anecdotes are not.
  • Answer each sprint question explicitly so the learning maps to the original risks.
  • Separate what customers did from what the team thinks it meant.
Master this◆ Paid

The deep drill-down: 9 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Friday Validation Log” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Confident Next-Step Decision
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section covers the closing decision after the interviews. It shows how to classify the outcome and pick the next move.

Confident Next-Step Decision

The outcome of the team and Decider knowing, with evidence, whether and how to proceed—classified as efficient failure or flawed success—and what to build or fix next.

Why it matters. A sprint that ends without a clear next step wastes the learning, but one that ends with an evidence-backed direction cuts risk and saves months of building the wrong thing.

Myth

Practitioners believe a sprint has failed if the prototype doesn't succeed in testing.

Reality

A prototype that fails is an efficient failure: you learned in five days, at minimal cost, what would have taken months and a budget to discover. Even successes are often flawed successes, with fixable problems that tell you exactly what to adjust.

Tools for this
The least you need to know
  • Efficient failure is a success of the method, because it ends a bad bet cheaply.
  • The Decider should state the next step aloud before the team leaves Friday.
  • A flawed success points to a specific fix or a follow-up sprint, not a retreat.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Friday Verdict Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 5 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Risk Reduction and Progress Toward Goal
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section shows how to judge whether a sprint paid off, using downstream results rather than the week's own energy. It also explains how to link the confident decision you make on Friday to the time and money you save afterward.

Risk Reduction and Progress Toward Goal

The ultimate business outcome of saving time and money by avoiding wrong paths and accelerating real-world success toward the long-term goal, measured by downstream results like adoption or sales growth.

Why it matters. If you measure a sprint by how good the prototype felt instead of by the wrong builds you avoided and the adoption or sales you gained, you will fund polished dead ends and cut the process that was actually protecting you.

Myth

A sprint succeeds when the Friday tests go well and the team leaves energized and aligned.

Reality

Friday's results only count as value once they change what you build, drop, or launch, and the payoff shows up months later in avoided engineering spend and in real adoption or sales. A sprint that kills a bad idea in five days has delivered as much risk reduction as one that validates a good idea.

The least you need to know
  • Measure a sprint by the wrong builds avoided and the real-world gains that follow, not by how polished the prototype looked.
  • A confident kill decision on Friday counts as a win, because it converts a possible months-long mistake into five days of cost.
  • Set the baseline and the downstream metric before the sprint starts, or you can't show later that it moved.
Master this◆ Paid

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Sprint Risk and Goal Map” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Big Challenge Selection
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section shows you how to pick the problem a sprint deserves, and how to reject the ones it doesn't. The choice made before Monday caps the value of everything that follows.

Big Challenge Selection

The deliberate choice to focus the sprint on a high-stakes, time-pressured, or stuck problem that is important enough to justify the team's full energy and attention for a week.

Why it matters. Pick a trivial or vague challenge and five days of full-team attention buy a polished answer to a question nobody needed asked; pick a stuck, high-stakes one and a week compresses months of debate.

Myth

Practitioners believe a sprint is a tool for low-risk experiments, so they hand it a small feature tweak to 'try the method out safely.'

Reality

The method's cost is a week of seven people's lives, which only pays back when the problem is large enough that a wrong six-month bet would hurt more. Stakes, urgency, or a stalemate create the energy that the format converts into momentum.

Tools for this
The least you need to know
  • Use the sprint for problems where a wrong guess is expensive, not for safe warm-up experiments.
  • Stuck, urgent, or high-stakes situations supply the commitment that makes a cleared week possible.
  • A challenge is well chosen only if its slice can be prototyped Thursday and tested Friday.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Big Challenge Selection Brief” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 6 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Decider Engagement
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section covers the person who holds the final call and how to keep them in the room. It explains what they contribute and where they must stay out of the way.

Decider Engagement

The active, authoritative participation of an empowered decision-maker (or delegate) who provides vision, criteria, and makes binding choices throughout the sprint rather than ceding authority to consensus.

Why it matters. Without a present, empowered Decider, every Wednesday choice reopens into consensus bargaining, and the prototype reflects compromise rather than a direction someone will defend.

Myth

Practitioners assume the Decider can approve the sprint's output on Friday afternoon, or send a deputy without authority, because the team does the real work.

Reality

The Decider's value comes during the week: their criteria shape the map, their supervote settles ties, and their presence lets the team skip the debate that would otherwise consume Wednesday. A late sign-off arrives after the choices have already been made without them.

Tools for this
The least you need to know
  • The Decider contributes judgment during the sprint, not an endorsement after it.
  • A delegate works only if they carry real authority and know the Decider's criteria.
  • Binding votes save Wednesday from debate, but only if the team accepts them as final.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Decider Commitment Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Team Diversity and Expertise
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section helps you assemble the seven-or-fewer people who will sit in the room. It focuses on who must be there and why a mix beats a homogeneous crew.

Team Diversity and Expertise

The composition of a small (seven or fewer) cross-functional team that includes the people who build the product plus extra experts and troublemakers, ensuring distributed knowledge is available in the room.

Why it matters. A team missing the person who knows the technical limits, the customer, or the finances will sketch solutions that collapse on contact with reality, while an oversized team stalls every exercise.

Myth

Practitioners believe the best sprint team is made of the most senior people or whole departments, so everyone with a stake gets a seat.

Reality

The room needs the people who will actually build and deliver the solution, plus a few outside experts and a troublemaker, capped at seven so each voice is heard. Everyone else with a stake contributes through Monday's expert interviews instead of occupying a chair all week.

Tools for this
The least you need to know
  • Choose people for the knowledge they hold, not their title.
  • Seven is a ceiling; beyond it, exercises slow and quieter voices vanish.
  • Experts and stakeholders who can't join the team should be interviewed Monday rather than seated.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Sprint Team Roster Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 5 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Focused Time and Space
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section describes the physical and calendar conditions that make a sprint work. You get the rules about days, devices, and rooms that protect concentration.

Focused Time and Space

The structural conditions of a cleared five-day calendar, six-hour timeboxed days, a no-devices rule, and a whiteboard-rich room that eliminate fragmentation and concentrate attention on a single challenge.

Why it matters. If attention fragments across email and meetings, the team never reaches the depth that makes individual sketching and one-day prototyping possible, and the week becomes five half-days of distraction.

Myth

Practitioners think they can run a sprint alongside their normal work, stepping out for urgent calls and checking laptops during slow moments.

Reality

The compressed schedule works only because attention is total; a few scheduled device breaks and a cleared calendar are cheaper than the context-switching that scattered half-presence imposes on everyone. The room itself, with whiteboards and wall space, is part of the thinking apparatus.

Tools for this
The least you need to know
  • Clear the full five days up front, because partial attendance undermines the shared context.
  • The no-devices rule is paired with scheduled breaks, which makes it sustainable.
  • Wall space is working memory for the team; losing it costs you continuity.
Master this◆ Paid

The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 6 failure modes, and the “Sprint Conditions Pre-Flight Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Problem Framing and Target
strong · 1 source
  • Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days
In this section

This section walks you through Monday's framing output: goal, questions, map, and target. It shows how to turn a vast problem into a narrow thing the team can address in a week.

Problem Framing and Target

The Monday output of a long-term goal, sprint questions, a customer-centric map, and a single chosen target customer and moment that aligns the team and directs all subsequent effort.

Why it matters. If the team leaves Monday without one agreed target, Tuesday's sketches scatter in different directions and Friday's test can't answer a single question.

Myth

Practitioners believe that choosing a narrow target customer and moment throws away opportunity, so they try to cover every segment and journey stage.

Reality

A single target is what makes the prototype testable in a day; the team bets on one slice and learns about the whole. Naming risks as sprint questions turns pessimism into something Friday can verify.

Tools for this
The least you need to know
  • One target customer and moment beats a broad net, because it is testable Friday.
  • Sprint questions convert fear into something the test can answer.
  • Goal, questions, and map should stay on the wall as reference points all week.
Master this◆ Paid

The deep drill-down: 7 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Monday Framing Sheet” tool. Included when you buy this guide.

The rest of this section

the full written section · 4 how-to steps · 2 pitfalls to watch for · 11 tools for this section. Included when you buy this guide.

Grounded in: Sprint_ How to Solve Big Problems and Test New Ideas in Just Five Days

Movement III · The run-it-now depth

The Playbook

Practical tools and examples from this guide.

Frameworks

Frameworkfree

Big Challenge Selection

How this mechanism is run, step by step, as the literature describes it.

  1. 1Name the problem in one sentence and test it against three filters from the passages: it is important, it is hard to know where to start, and it would take significant time and money to get right. Blue Bottle's online store passed all three, which is why Braden and John called it 'a perfect candidate for a sprint.'
  2. 2Check the pressure source. The sprint works best with a big challenge and 'not quite enough time.' A real deadline, a stuck project, or a high-stakes launch gives the week its focus. Without one, the team drifts back to regular work.
  3. 3Pick a problem you can open with a map: a customer moving from beginning to end. If you cannot name the actors and an ending (Flatiron: diagnosis to trial enrollment; Savioke: a delivery), the challenge is still too vague to select.
  4. 4Accept that the challenge may be unfamiliar territory. Blue Bottle was not a tech company and James was no expert in online retail, yet the problem still qualified. Importance and uncertainty matter more than expertise.
  5. 5Decide who has to be in the room, then ask what the problem demands. For Blue Bottle, that meant the programmer, the COO, the CFO, the communications manager, the customer service lead, the executive chairman, and James himself. If the people needed to solve the problem are not available for the week, pick a different challenge.
  6. 6Face the cost directly: these are busy people who will miss a full week of important work. Ask whether the answer is worth that week. Select the challenge only if you can say yes.
  7. 7Confirm the big challenge can narrow to one target. Everything in the sprint (sketches, prototype, test) flows from one target customer and one target moment on the map. A challenge that cannot be narrowed to a single target is too diffuse.
  8. 8Write the challenge down and get the Decider's explicit agreement before you schedule anything else. The rest of the setup (team, time, space) depends on it.
Framework◆ Paid

Concrete Solution Generation

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with this guide purchase

Framework◆ Paid

Confident Next-Step Decision

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Customer Testing with Five Users

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Decider Engagement

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Focused Time and Space

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Problem Framing and Target

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with this guide purchase

Framework◆ Paid

Realistic Prototype (Façade)

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Risk Reduction and Progress Toward Goal

How this mechanism is run, step by step, as the literature describes it.

◆ The full 7-step framework — included with this guide purchase

Framework◆ Paid

Shared Understanding

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Structured Decision Making

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Team Diversity and Expertise

How this mechanism is run, step by step, as the literature describes it.

◆ The full 8-step framework — included with this guide purchase

Framework◆ Paid

Validated Learning

How this mechanism is run, step by step, as the literature describes it.

◆ The full 9-step framework — included with this guide purchase

Checklists

Checklistfree

Big Challenge Selection — decision rules

  • If the problem is important, you don't know where to start, and getting it right will take real time and money, then run a sprint on it.
  • If the challenge is vague or low-stakes, then you won't justify a week of full attention. Choose a bigger problem or don't sprint.
  • If the people who must contribute can't clear their calendars for the week, then the challenge is wrong for now. Pick one that matches who is available or wait.
  • If you can't sketch a simple map (actors on the left, an ending on the right, steps between), then narrow the challenge until you can.
  • If you lack domain expertise, then don't disqualify the problem. Bring in people who have it, as Blue Bottle did with its chairman, operations, finance, and customer service leads.
Checklist◆ Paid

Concrete Solution Generation — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Confident Next-Step Decision — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Customer Testing with Five Users — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Decider Engagement — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Focused Time and Space — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Problem Framing and Target — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Realistic Prototype (Façade) — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Risk Reduction and Progress Toward Goal — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Shared Understanding — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Structured Decision Making — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Team Diversity and Expertise — decision rules

◆ All 5 checkpoints — included with this guide purchase

Checklist◆ Paid

Validated Learning — decision rules

◆ All 5 checkpoints — included with this guide purchase

Case studies — including what didn't work

Case studyfree

Big Challenge Selection

Context

In October 2012, Blue Bottle Coffee raised $20 million from Silicon Valley investors, including GV. One of James Freeman's most obvious plans for that money was a better online store for selling fresh coffee beans. The problem was hard: Blue Bottle wasn't a tech company, James was no expert at online retail, and he faced the question of how to translate the magic of his cafés to smartphones and laptops. Several weeks later, Braden Kowitz and John Zeratsky met James at a counter over coffee. They judged that the online store was important to the company, that it would take time and money to get right, and that it was difficult to know where to start. That combination made it 'a perfect candidate for a sprint,' and James agreed. He then staffed the sprint with the people the problem needed, not a typical software team. He brought in the programmer, COO, CFO, communications manager, customer service lead, and executive chairman Bryan Meehan, and joined them himself. Everyone knew they would miss a full week of other work. On Monday, the team mapped how coffee buyers move through the store and targeted a new customer purchasing coffee beans.

Case study◆ Paid

Concrete Solution Generation

Context

Savioke's team was designing how a hotel delivery robot should behave around guests. On Monday they mapped the customer story (guest meets robot, robot gives guest a toothbrush, guest falls for robot). The CEO, Steve, chose the moment of delivery as the target. He also named the team's recurring worry: making the robot appear too smart, because guests expect C-3PO or WALL-E and the robot will not talk back. On Tuesday they switched from problem to solutions and skipped a raucous brainstorm. Everyone sketched alone, not just the designers. Tessa Lau, the chief robot engineer, sketched, and so did Izumi Yaskawa, the head of business development, and Steve himself. By Wednesday morning the conference room walls were plastered with sketches and notes. Some ideas were new, and some were old ideas that had once been discarded. Because every idea was on paper at the same level of detail, the CEO's sketch was judged alongside the engineer's. This is the point of concrete sketching: no idea gets overvalued because of who proposed it or undervalued because it was explained badly.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Confident Next-Step Decision

Context

Savioke's Relay is a flawed success. The team worried that guests would find a delivery robot creepy, and they were unsure how much personality was too much. They gambled on giving the robot a personality. Over the sprint they considered dozens of ideas, built a realistic prototype in one day, and tested it with target customers at a makeshift lab in a nearby hotel. The evidence supported the core bet: character might be the secret to boosting guest satisfaction. It also exposed flaws. The touch screen was sluggish, some sound effects were mistimed, and the idea of games on the touch screen did not appeal to guests at all. The team classified this as a success with fixes, not a failure. The flaws meant reprioritizing engineering work, but there was still time. Three weeks later the robot went into full-time hotel service. Guests loved it, and by summer Savioke had more orders than it could easily produce. The authors say Savioke was confident in the gamble only because the sprint let them test risky ideas quickly.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Customer Testing with Five Users

Context

Flatiron Health wondered whether existing users of its software would change their workflow for a new clinical-trial tool. The Monday target was coordinators searching for matching trials. That target matched the sprint question 'Will clinics change their workflow?' The team prototyped the software and tested it with real research coordinators. The coordinators didn't love every part of the prototype, but their enthusiastic reaction to the concept gave Flatiron the confidence to keep designing and developing. The authors call this an 'exciting flawed success'. Six months later, clinics were using the real thing to match patients to trials. The test needed only five days of work and a handful of the right customers. It answered the question the team had set on Monday.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Decider Engagement

Context

SquidCo is the failure case. The sprint facilitators invited everyone who worked on the project except Sam, the chief product officer, who was traveling. The week worked for everyone else, so they ran the sprint, built a prototype, and tested it. It did well with customers, and the team was ready to build. When Sam returned, the project ended: he did not think they had picked the right problem, and he saw more important priorities. The facilitators had tried to guess what Sam would say and failed. The Blue Bottle Coffee sprint shows the opposite. CEO James Freeman was in the room to talk about the company's core values and share his vision for an online store that matched their standards of hospitality. He chose the sketches that best aligned with that vision. He also knew how the baristas were trained, a detail that unlocked a surprising solution. The difference is not talent. In one sprint the Decider supplied the criteria and made the choices, and in the other the choice about the problem arrived after the work was done.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Focused Time and Space

Context

Savioke's team was building a hotel delivery robot, the Relay, and had only a few weeks before a pilot with Starwood. They cleared a full Monday-to-Friday week, canceled all meetings and set 'out of office' responders on email. They then manufactured a deadline by arranging with the hotel to run a live test on Friday, which left four days to design and prototype a working solution. All of that attention went to one question: how should the robot behave around humans? On Monday they mapped the story, from guest meets robot to guest falls for robot. With only five days, Steve chose a narrow target, the moment of delivery, rather than spreading effort across the lobby, elevator and hallway. Because meetings and email were out of the picture, they were able to review the problem, choose a target, decide among ideas and build a realistic prototype in one day, then test it with target customers in a makeshift lab at a nearby hotel.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Problem Framing and Target

Context

Savioke Labs built Relay, a three-and-a-half-foot robot that glides through hotels, and had only a few weeks before a Starwood pilot. The team cleared the week and agreed to run a live test at a hotel on Friday. On Monday they started at the end: Steve, the CEO, explained that guest satisfaction scores decide whether hotels order more robots, and flat or falling scores would leave the business precarious. The sprint question was how the robot should behave around humans, and one worry kept coming up: guests expecting a C-3PO or WALL-E and being disappointed when the robot doesn't talk back. They mapped the story as guest meets robot, robot gives guest a toothbrush, guest falls for robot, with critical moments in the lobby, elevator and hallway. With five days, they had to pick one place to focus, and Steve chose the moment of delivery. That choice set up the Tuesday sketches, the twenty-three competing solutions, and the Friday hotel test.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Realistic Prototype (Façade)

Context

Savioke's team had 23 competing solutions on Wednesday and used voting and structured discussion to pick a slate of designer Adrian Canoso's boldest ideas: a face for the robot, a soundtrack of beeps and chimes, and a dance when the robot was happy. On Thursday they had eight hours. They narrowed the build to one task: delivering one toothbrush to one room, and the robot did not need to run autonomously. Tessa and Allison Tse programmed and tuned the robot's movements using a beat-up laptop and a PlayStation controller. Adrian put on massive headphones and orchestrated the sound effects. The face was mocked up on an iPad mounted to the robot. By 5 p.m. the robot was ready. On Friday the guests at the Cupertino Starwood hotel met a robot that appeared to work, so their reactions were to the robot's behavior rather than to a drawing of it.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Risk Reduction and Progress Toward Goal

Context

Savioke wanted to accomplish a lot with its Relay delivery robot. The team chose the goal the hotels already used, a better guest experience, rather than front-desk efficiency or robot count. Then they imagined failure: the robot is awkward or confusing. That produced three questions: Can we make a smooth delivery? Will guests find the robot awkward? Will guests come to the hotel just for the robot? They targeted the hotel guest at the moment of delivery. The Friday test answered all three. Delivery was smooth. Guests did not find the robot awkward, apart from a sluggish touch screen. Some guests even said they would come to the hotel just for the robot. The team learned which fixes mattered, and learned it in a week, before building the full product.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Shared Understanding

Context

Savioke built the Relay, a hotel delivery robot, but did not know how it should behave around guests. Steve Cousins and head designer Adrian Canoso worried it might feel creepy to have a machine delivering towels. They had open questions: how should the robot communicate, how much personality was too much, and what about the elevator? The sprint team included the roboticists and the head of design, and also Izumi Yaskawa, who was not on the build team. As head of business development, she knew more than anyone about how hotels operated and what they wanted from the robot. Her knowledge, plus the engineers' and designers', went onto the whiteboards as shared notes instead of staying in individual heads. The team could then pick one target and prototype it. Part of the prototype was an iPad attached to the robot, running Keynote.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Structured Decision Making

Context

Savioke's sprint targeted one question: how should the Relay robot behave around humans? By Wednesday morning the conference room walls held twenty-three competing solutions, and the hotel test was set for Friday. The team used voting and structured discussion instead of weeks of meetings and emails, and it settled the choice quietly and without argument. The slate that emerged included designer Adrian Canoso's boldest ideas, a face and a soundtrack of beeps and chimes, plus one intriguing but controversial idea: the robot would dance when happy. Steve, the CEO, said he was nervous about too much personality but that 'this is the time to take risks.' Tessa answered that they could always dial back. Because Wednesday ended with every chosen idea documented in detail, Thursday needed only execution. Tessa and Allison programmed the robot's movements with a laptop and a PlayStation controller while Adrian built the sound effects. The prototype was ready for Friday's live test in the hotel.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Team Diversity and Expertise

Context

At Savioke, the team included the people you'd expect: the roboticists and the head of design. One of the most important contributors turned out to be Izumi Yaskawa, who wasn't part of the team that built the robot. As head of business development, she knew more than anyone how hotels operated and what they wanted from the robot. At Blue Bottle Coffee, CEO James Freeman was the Decider. He shared the core values and the vision for an online store matching their standards of hospitality, chose the sketches that best fit that vision, and knew how baristas were trained, a detail that led to a surprising solution. The customer service manager and the CFO, who normally wouldn't have helped build the website, also supplied important insights. The opposite case is SquidCo: everyone who worked on the project was invited except Sam, the chief product officer, who was traveling. The team prototyped a solution that tested well, but when Sam returned he said they hadn't picked the right problem and the project ended. The facilitators concluded the Decider should have been in the room.

◆ What happened, and the outcome — included with this guide purchase

Case study◆ Paid

Validated Learning

Context

Graco's engineers believed an industrial pump was too complicated for a five-day sprint. They sliced the challenge into questions and matched a cheap test to each one. To test marketability, they would prototype a brochure of the pump's new features and use it in sales visits. To test ease of use, they would 3D print new nozzles and attach them to existing pumps. To test installation, they would bring cables and hoses to nearby manufacturing plants and get reactions from assembly line workers. None of these tests was perfect, but each produced real reactions to the surface of the product, answering a big question before the pump existed. Blue Bottle did the same with a slide show standing in for its website, before building the software and inventory processes behind it. In both cases, the evidence comes from customers reacting to something realistic, not from the team debating internally.

◆ What happened, and the outcome — included with this guide purchase

Templates

Templatefree

Big Challenge Selection Brief

Template◆ Paid

Tuesday Solo Sketch Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Friday Verdict Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Friday Customer Test Setup Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Decider Commitment Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Sprint Conditions Pre-Flight Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Monday Framing Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Thursday Façade Build Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Sprint Risk and Goal Map

◆ The fillable template — included with this guide purchase

Template◆ Paid

Shared Brain Setup & Capture Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Wednesday Decision Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Sprint Team Roster Sheet

◆ The fillable template — included with this guide purchase

Template◆ Paid

Friday Validation Log

◆ The fillable template — included with this guide purchase

Items marked Paid are included when you buy this guide.

Movement IV

Reflect

Consider the book's evidence, limitations and how it compares with other sources.

In this part

How good is it — where the book stands against the field, what it leaves open, and when to trust it.

  • — Its positioning, its critique, its blind spots
  • — When to apply it — and when not
  • — The evidence behind the advice

Book profile · in the corpus

This book’s model, against the corpus

7 of 13 constructs align with the field · 6 the book adds · 6 where it diverges · the field spans 53 constructs across 33 books

shared with the corpusthis book's own emphasisthe corpus adds (other sources)where it diverges

Shared with the corpus — corroborated by other sources

Problem Framing and TargetShared UnderstandingRealistic Prototype (Façade)Customer Testing with Five UsersValidated LearningConfident Next-Step DecisionRisk Reduction and Progress Toward Goal

This book's own emphasis — where it's the authority

Big Challenge SelectionDecider EngagementTeam Diversity and ExpertiseFocused Time and SpaceConcrete Solution GenerationStructured Decision Making

Where it diverges — the book and the field pull apart

Problem Framing and TargetShared UnderstandingRealistic Prototype (Façade)Customer Testing with Five UsersValidated LearningRisk Reduction and Progress Toward Goal

The corpus adds — from 32 other sources this book doesn't cover

The full field guide folds in ideas this book doesn’t reach — drawn from 32 further sources and cited in the full model.

This book’s place in the corpus

1 of 33
sources in this corpus
13
constructs contributed
7
corroborated by others
6
unique to this book

Why the corpus guide, not just this book

The book stands on the lean-startup and customer-discovery tradition of testing with real customers, and is the authority on compressing that into a five-day process: team setup, sketching, structured decisions and a façade prototype. The reconciled field-guide still adds the market, pricing, metrics, traction and funding context the sprint leaves out, and it tests learning more rigorously over time.

This guide stands on the shoulders of this book and 32 other sources — every claim cited, the disagreements named.

Read the reconciled Start A Company guide →

Read it closely

The book, examined

Not a summary — a close analytical reading: how the book is built, what it leaves open, and where it falls short.

How it’s built — the argument in order

  1. 01
    Origin story and the problem of good ideas (Introduction) — Jake Knapp traces how the sprint grew from Google (the Ads sprint, Gmail/Google Meet-style experiments, a first 40-person mistake) to GV, where Bill Maris saw it as a way to test startup ideas before they ran out of money. It shows the process was iterated and adapted, with contributions from Kowitz (story-centered design) and Zeratsky (start at the end).
  2. 02
    Motivating case: Savioke's Relay robot — A concrete story in which a sprint exposed flaws in the robot's design and gave the team confidence to gamble on a personality. It serves as proof of payoff, since the robot succeeded after launch, and it illustrates 'learning the hard way without the hard way.'
  3. 03
    The trouble with good ideas and the sprint's promise — Frames the core pain: execution is uncertain, focus is unclear, debate is endless, and nobody knows whether anyone will care. GV's position as investor rather than hourly consultant is offered as a basis for trust. The sprint is pitched as compressing months into a week and as a 'superpower' of fast-forwarding to see customer reactions.
  4. 04
    Failure as return on investment and scope of application — Argues that painful failures found in five days are the most efficient outcome. Lists companies and use cases (Foundation Medicine, Nest, Blue Bottle, marketing strategy, medical reports, even high school students) to establish breadth.
  5. 05
    Roadmap of the week (Mon–Fri) and how-to promise — Gives the five-day arc: map and target on Monday, sketch on Tuesday, decide and form a testable hypothesis on Wednesday, prototype on Thursday, test with real people on Friday. Promises detail at three levels (big, medium, nitty-gritty), sets the expectation of progress rather than a finished product, and positions the sprint relative to lean, design thinking, and agile.
  6. 06
    When to sprint: high stakes, not enough time, just plain stuck — Names three situations (the ship captain's charts, the deadline, the booster rocket) in which the sprint applies. It advises choosing the most important problem so people bring their best effort and clear their schedules.
  7. 07
    Stress-testing scale: the Graco industrial pump — Takes a challenge that seems too big, an 18-month, multimillion-dollar physical product at a 90-year-old multinational, to argue that sprints can reach beyond software and startups. The engineers' refusal to give up sets up the claim that big problems can be attacked via a prototype of the surface.

What it leaves unsolved

How well does the sprint transfer to complex physical products, regulated domains, or deep engineering problems like Graco's pump?

Jake himself admits an industrial pump 'sounds too complicated to prototype and test in a week.' The passage raises the doubt and leans on the team's persistence, but the excerpt doesn't show the evidence.

What happens to the learning when a prototype's façade hides the hard parts, such as technical feasibility, cost, or operations?

The book promises a 'realistic prototype' and the surface solved first, but it concedes you 'won't finish with a complete, detailed, ready-to-ship product.' It does not say how feasibility and scale risks are discovered.

How can a team be sure a five-person test generalizes to the market?

The sprint relies on quick customer reactions to decide whether a direction is right. The excerpt says you will 'know for sure' you're headed in the right direction, but it doesn't address sample size, bias, or long-run behavior.

What is the right team size and composition, and how do you handle organizations where leaders won't free up a week?

The author admits his first sprint with forty people nearly derailed everything and that he learned what was 'too fast, too slow, and just right', but the excerpt doesn't yet explain the limits or political barriers.

How does the sprint relate to what comes after: sustained product development, iteration, and agile delivery?

The book calls its sprint 'different, but complementary' to agile and says it gives progress, not a finished product. The handoff from a sprint's learning to ongoing execution is left open.

Is it the process itself, or the talent and resources of GV-backed teams, that produces the results?

The case stories are from successful, well-connected firms and the authors had a stake as investors; the excerpt doesn't consider what happens with weaker teams or fewer resources.

Where it falls short — a fair critique

incomplete

The evidence is almost entirely success stories (Savioke's robot, billions of impressions, huge orders) and selected clients. There are no failed sprints, no base rates, no account of the cases where the process didn't help, so the claim that any challenge benefits is under-supported.

illogical

Savioke's later commercial success is used as evidence that the sprint worked, but the robot's success is not cleanly attributable to the sprint (media coverage, product quality, market timing all contribute). The causal inference from 'sprint, then hit' is a post hoc argument.

misinformed

Claiming you will 'know for sure' you're headed in the right direction after one week with a prototype overstates what a small qualitative test can establish. Prototype reactions can miss willingness to pay, long-term retention, operational costs, and real-world context, so certainty is overstated.

incomplete

The authors' position as GV investors, who have a financial stake and select the startups they work with, creates potential selection and incentive bias that the introduction presents as a virtue (not hourly consultants) without acknowledging as a limitation on generalization.

uninformed

The framing of 'big problems' sometimes stretches to heavy engineering, such as the Graco pump, where the approach to prototyping a physical machine, materials, safety, and manufacturing constraints is not yet addressed. The excerpt leans on enthusiasm rather than domain knowledge (Jake admits knowing nothing about assembly lines).

incomplete

The opening promises relief from 'endless meetings,' yet the method demands a full week of the whole team's time, device-free for days, and a senior decider's availability. The cost of that commitment, in opportunity cost and in people who can't leave their other duties, is not weighed against the savings.

illogical

The claim that failures give the greatest ROI because they are caught early assumes the prototype's failure reflects the real product's flaws rather than the artifacts of a rushed façade. The book doesn't discuss how to distinguish a flawed idea from a flawed prototype.

Before you apply it

Using it well

Where the method fits, who it’s for, and the honest case for and against — so you apply it where it works.

Is this book for you?

For you if

  • You have a big, important problem or opportunity and need to start with confidence
  • You're a startup, a team in a large company, or a beginner or expert who wants to avoid months of untested assumptions
  • You're stuck, short on time, or facing a costly commitment
  • You can pull together a small team from the people you already work with

Skip it if

  • Your challenge is a small, nice-to-have win that nobody will prioritize
  • You need a complete, detailed, ready-to-ship product out of one week
  • You can't get a leader with decision authority or a week of the team's focused time
  • You can't reach target customers to test with on Friday

Need first

  • A big challenge worth a week of the team's energy
  • A Decider empowered to make the calls
  • A diverse, well-sized team with the relevant expertise
  • A long-term goal and the key questions to answer, so you can start at the end
  • Access to about five target customers for Friday
  • Cleared schedules and a dedicated room, with phones and computers off for focused work

When it applies — and when it doesn’t

Use it
  • High-stakes problem where the solution will cost significant time and money (e.g., Blue Bottle's online store) — a sprint is a chance to check the charts and steer before going full steam ahead
  • Tight deadline where you need good solutions fast (e.g., Savioke readying its robot for the hotel pilot) — the process is built for speed and compresses months into a week
  • Important project that is stuck or has lost momentum — acts as a booster rocket with a fresh problem-solving approach
  • Early startup with one good shot at a product before money runs out — tests risky ideas with a realistic prototype before committing to build and launch
  • Team already using lean, design thinking, or agile — the sprint is a practical way to apply lean/design thinking and complements agile, though its 'sprint' differs in meaning
  • Product with millions of users, marketing strategy, or medical test reports — the authors have used sprints to improve such products and define strategies
Adapt it
  • Physical or complex products like Graco's industrial pump — seems too complicated to prototype in a week, though the team's persistence suggests the surface can still be tested; the source excerpt is incomplete on the outcome
  • No empowered Decider or team can't clear schedules and go phone/laptop-free for three days — the method depends on a Decider and on focused time and space
Not here
  • Small win or nice-to-have project — people won't bring their best effort or even clear their schedules
  • Expecting a finished, ready-to-ship product at week's end — you get rapid progress and a verdict on direction, not a complete product
  • Assembling a very large team (the author's first sprint had forty people) — that headcount nearly derailed the sprint before it began

The honest case

Strongest case for

  • It compresses months of debate and building into five days, so teams get real customer reactions before expensive commitments
  • Failures found after five days of work are the cheapest possible learning: 'the hard way, without the hard way'
  • Structured, low-debate techniques (sketching, dot voting, an empowered Decider) avoid endless meetings and groupthink
  • The method was refined across 100+ engagements and diverse cases (Savioke, Blue Bottle, Foundation Medicine), and its results were visible in Savioke's robot success
  • A façade prototype tests the surface of the customer experience cheaply, so teams can learn without building the real thing

Strongest objection

  • Five users and a fake prototype give a thin, possibly misleading signal for complex products or markets
  • One week and a Decider may rush or oversimplify problems that need deep technical work, like an industrial pump
  • Evidence is mostly success stories from GV-backed startups, which suggests selection and survivorship bias
  • Pulling a whole team off their work for a week is costly, and a prototype can only test the surface, not feasibility or long-term use
  • Heavy reliance on the Decider's vision can override diverse opinions despite the claim to use them
Source notes

The model's constructs are drawn from the source element(s); load-bearing constructs are corroborated across the shelf, emerging ones are flagged.

Ideas covered by the source notes

  • Big Challenge Selection
  • Decider Engagement
  • Team Diversity and Expertise
  • Focused Time and Space
  • Problem Framing and Target
  • Shared Understanding

Movement V

Measure

Use available assessments to reflect on what you have learned.

In this part

A way to gauge yourself against the book's model, and the instruments it gives you.

  • — A self-check built from the book
  • — Instruments and what you'd measure next

Learning curriculum

After this book, you can…

The book's learning objectives, classified by Bloom's taxonomy and ordered so each builds on the ones before it.

01Foundational — know & understand
  1. explain
    After this book you can explain the sprint's five-day structure (map, sketch, decide, prototype, test) and justify how it compresses months of debate and building into one week of learning with real customers.
    Check: Ask the learner to describe each day's purpose and output, and to argue why a sprint beats launching a minimal product or running an open-ended project. Score against a rubric covering all five days and the 'learning the hard way without the hard way' rationale.
02Working — apply
  1. assemble
    After this book you can assemble a sprint team of seven or fewer, including an empowered Decider, a facilitator, and cross-functional experts, and define each person's role.
    Check: Learner produces a team roster for a given case, naming the Decider and the experts, and explains each role and the reason for the size limit. Review it against the book's criteria.
  2. organize
    After this book you can set up the sprint's conditions: a cleared five-day calendar, timeboxed days with a 1 p.m. lunch, a no-devices rule, and a whiteboard-rich room.
    Check: Learner prepares a sprint logistics plan with a schedule, room setup, supplies, and device policy. Check it for completeness and for how each element protects focus.
  3. construct
    After this book you can start at the end by writing a long-term goal, sprint questions, and a customer-centric map, then choose a single target customer and moment.
    Check: Given a case, learner produces a goal, sprint questions, and a customer-journey map, then selects and defends a target. Evaluate whether the target will test the riskiest assumptions.
  4. conduct
    After this book you can build shared understanding by running expert interviews and capturing insights as how-might-we notes, then organizing and prioritizing them.
    Check: Learner runs or simulates an expert interview, captures how-might-we notes, and organizes them against the map. Review the quality and relevance of the notes.
  5. sketch
    After this book you can guide individuals through 'working alone together' to produce concrete, detailed, self-explanatory solution sketches instead of group brainstorming.
    Check: Learner completes a solution sketch for a given target and justifies why working alone beats brainstorming. Judge the sketch on concreteness and whether it can be understood without explanation.
  6. facilitate
    After this book you can facilitate structured decisions (art museum, heat map, speed critique, straw poll, supervote) so the Decider makes a binding choice, and apply Rumble logic when competing ideas should be tested.
    Check: In a simulated Wednesday, learner leads the sequence of techniques and arrives at a decision. Observe adherence to the techniques and the Decider's final call.
  7. interview
    After this book you can run Five-Act Interviews with five target customers while the team watches together and takes structured notes.
    Check: Learner conducts a mock interview with the five acts (welcome, context questions, prototype introduction, tasks, debrief). Check that questions are neutral and that reactions are elicited without leading.
03Advanced — analyze & judge
  1. analyze
    After this book you can analyze interview notes to find patterns of success and failure, answer the sprint questions, and explain why customers reacted as they did.
    Check: Given sample interview notes, learner identifies patterns across the five users and answers the sprint questions with evidence. Compare the findings against an expert analysis.
04Mastery — synthesize & create
  1. evaluate
    After this book you can evaluate candidate problems and select a big challenge (high stakes, time pressure, or stuck) that justifies a full five-day sprint.
    Check: Give the learner several business scenarios and have them choose which merit a sprint, with written justification tied to the stakes, urgency, or stalled progress.
  2. design
    After this book you can turn the chosen solutions into a storyboard and a testable hypothesis, deciding what the prototype must include.
    Check: Learner creates a storyboard from the winning sketches, aligns it with the sprint questions, and states the hypotheses to be tested. Evaluate coherence and testability.
  3. build
    After this book you can build a Goldilocks-quality façade prototype in one day, applying the prototype mindset, assigned roles, and a trial run.
    Check: Learner builds a prototype (e.g., slides or a mock page) in a day and passes a trial run. Judge whether it looks real enough for honest reactions and was built fast enough to be disposable.
  4. judge
    After this book you can judge sprint results as an efficient failure, a flawed success, or a success, and recommend the next step.
    Check: Given a sprint's results, learner classifies the outcome and writes a recommendation on whether to proceed, iterate, or stop, supported by evidence and tied to the long-term goal.
  5. plan
    After this book you can plan an end-to-end sprint for a real organizational challenge, adapting the process to your context and justifying the choices made.
    Check: Learner submits a complete sprint plan covering challenge, team, schedule, goal, target, prototype approach, and testing. Rubric criteria: fidelity to the principles and expected risk reduction.

How to measure it

Turning each idea into a measure

For each construct: how to operationalize it, the observable signals to look for, and how well it holds up.

Big Challenge Selection

Documented sprint challenge statement plus leader/team judgment of its stakes, urgency, and strategic importance.

Observable signals
  • explicit problem statement
  • Decider willingness to commit a week
  • team willingness to clear schedules
Scale

Categorical/perceptual judgments of importance and urgency; no scoring scheme prescribed.

Holds up?

Risk of post-hoc rationalization of whatever was chosen. · Different stakeholders may rate importance differently.

Decider Engagement

Presence/cameos of the Decider (or formally delegated Decider) at key moments and whether their decisions hold after the sprint.

Observable signals
  • Decider in the room on Monday/Wednesday/Friday
  • supervotes cast
  • decisions not reversed afterward
Scale

Mix of attendance records and perceptual reports; no numeric scale prescribed.

Holds up?

Engagement quality differs from mere attendance. · Observable attendance is reliable; perceived authority less so.

Team Diversity and Expertise

Team roster showing roles (Decider, finance, marketing, customer, tech/logistics, design experts) and size of seven or fewer.

Observable signals
  • roster of participants and their functions
  • presence of needed expert roles
Scale

Archival roster data plus judgment of expertise relevance.

Holds up?

Role labels may not capture actual expertise depth. · Roster facts are reliable; expertise relevance is judgmental.

Focused Time and Space

Calendar blocks for the five days, observed device usage, room/whiteboard setup, and use of timers.

Observable signals
  • five days blocked
  • devices put away
  • two big whiteboards
  • Time Timer in use
Scale

Mixed observable conditions plus perceptual distraction ratings.

Holds up?

Self-reported focus may be inflated. · Physical setup is reliably observable.

Problem Framing and Target

Whiteboard artifacts plus a circled target on the map, reviewed for alignment with sprint questions.

Observable signals
  • written goal at top of whiteboard
  • listed questions
  • completed map
  • circled customer and moment
Scale

Artifact presence plus perceptual clarity ratings.

Holds up?

Artifacts may exist but lack genuine alignment. · Artifact presence is reliably observable.

Shared Understanding

Team self-reported clarity and agreement on goal, target, and risks following expert interviews and mapping.

Observable signals
  • consistent answers about goal/target across members
  • ease of committing to Decider's target choice
Scale

Perceptual self-report; convergence across members indicates shared understanding.

Holds up?

Stated agreement may mask private disagreement. · Convergence checks improve reliability.

Concrete Solution Generation

Count and quality (self-explanatoriness) of solution sketches produced on Tuesday.

Observable signals
  • one solution sketch per person
  • sketches understandable without the author present
Scale

Archival count plus team comprehension judgment.

Holds up?

Quantity does not guarantee quality. · Sketch counts are reliable; comprehension is judgmental.

Structured Decision Making

Completion of art museum, heat map, speed critique, straw poll, and supervote steps with recorded voting artifacts and time-to-decision.

Observable signals
  • dot clusters on sketches
  • Decider supervotes
  • short decision duration
Scale

Mixed artifact and timing data; perceptual ratings of debate avoidance.

Holds up?

Process fidelity may vary across teams. · Voting artifacts are reliably observable.

Realistic Prototype (Façade)

The completed artifact assessed for perceived realism during trial run and customer testing.

Observable signals
  • prototype passes trial run
  • customers treat it as real during testing
Scale

Archival artifact plus perceptual realism judgment; not suited to numeric self-report.

Holds up?

Realism is context-specific per product type. · The artifact itself is fixed; realism judgments vary.

Customer Testing with Five Users

Number and fidelity of Five-Act interviews conducted and observed by the team on Friday.

Observable signals
  • five interviews completed
  • script followed
  • team watches live
Scale

Behavioral/process data; partly perceptual on adherence.

Holds up?

Poor screening undermines validity of results. · Consistent script improves cross-interview reliability.

Validated Learning

Patterns recorded on the team note grid and consensus on what was learned relative to sprint questions.

Observable signals
  • clusters of consistent reactions across customers
  • answers to sprint questions
Scale

Perceptual/consensus-based; patterns from three or more customers emphasized.

Holds up?

Confirmation bias risk in pattern reading. · Group observation improves reliability over single observer.

Confident Next-Step Decision

Documented next-step decision (build, fix, follow-up sprint, abandon) made after reviewing patterns.

Observable signals
  • written follow-up plan
  • subsequent sprint or build action
Scale

Mixed observable actions and perceptual confidence ratings.

Holds up?

Confidence may not equal correctness. · Documented decisions are reliably observable.

Risk Reduction and Progress Toward Goal

Post-sprint outcome metrics such as adoption, sales growth, press, or engineering effort saved.

Observable signals
  • sales growth (e.g., Blue Bottle doubled online sales)
  • customer adoption (Savioke orders)
  • avoided expensive builds (Slack 'Bot Team')
Scale

Archival business metrics; aggregated across projects.

Holds up?

Many factors beyond the sprint affect outcomes. · Business metrics are reliable but attribution is uncertain.

Self-assessment

Where would you like to improve?

This is a structured self-diagnostic built from the model — a mirror for reflection, not a validated psychometric scale. For validated measurement, see the instruments below.

1 = Strongly Disagree · 7 = Strongly Agree

Capabilitythe practices and skills you deploy
  • I choose to focus our sprint on a high-stakes, time-pressured, or stuck problem that is important enough to justify the team's full energy.
  • Our Decider is usually absent or only loosely involved during the sprint, so key choices get delayed or revisited.
  • I build our sprint team with seven or fewer people, including those who build the product plus extra experts and challengers from different functions.
  • At the start of the sprint, our team agrees on a long-term goal, sprint questions, a customer map, and one specific target customer and moment.
  • Team members work alone to turn abstract ideas into detailed, self-explanatory solution sketches that can be fairly compared.
Alignmentthe outcomes you steer toward
  • After testing, our team and Decider know from evidence whether and how to proceed and what to build or fix next.
  • Running our sprint saves us time and money by helping us avoid wrong paths and move faster toward our long-term goal.
Motivationthe states you cultivate in others
  • Our team shares a common understanding of the problem, the customer, the opportunity, and the main risks.
  • By watching real customers react to our prototype, our team learns which parts work, which fail, and what answers our sprint questions.
Supportthe conditions you shape
  • During our sprint, we clear the calendar, keep to timeboxed days, ban devices, and work in a room with plenty of whiteboards.
0 of 10 answered

Proposed measures — starter instruments where no validated one was found

Big Challenge Selection Index (proposed)

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. A written problem statement exists before the sprint that explains why this challenge is high-stakes, time-pressured, or stuck.
  2. The selection record shows the challenge was chosen over other candidate problems using explicit criteria such as business impact, urgency, or prior failed attempts.
  3. The sprint challenge is significant enough that leadership has formally released team members from their regular work for the full sprint duration.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Decider Engagement Index (proposed)

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. A named decision-maker with binding authority over the sprint outcome is identified before the sprint starts and attends the sessions where key choices are made.
  2. The decision-maker shares vision, success criteria, and constraints with the team at the start of the sprint, and these are documented where the team can see them.
  3. Every major sprint choice is recorded as a final decision by the decider (or a named delegate), and no later review step overturns it.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Team Diversity and Expertise Index (proposed)

proposed · not validated

Rated for your team or hiring process — not a personal self-check.

  1. The sprint team has seven or fewer full-time participants, confirmed by the roster.
  2. The roster includes the people who build or deliver the product and at least one representative from each of several distinct functions, such as design, engineering, marketing, and customer support.
  3. Additional experts and a facilitator or troubleshooter with relevant domain knowledge are identified in advance and available during the sprint, and the roster shows how each person's expertise maps to the challenge.

Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.

Sources

The cheat sheet

Everything, on one page

One key takeaway from each section, with links to read more.

Publication details

Consult the sources listed in this guide for further reading. Edition 1 · Updated 2026-10-03.

Explore related books and profiles in the library.

Take it with you

The main guide above is free to read. This purchase includes 48 additional tools and examples — 12 frameworks, 12 checklists, 12 case studies and 12 templates — plus the full sections and the ebook itself: an epub and a PDF covering all 13 sections. Every format, yours to keep — permanently, including every future update. When this guide is deepened, you get the new edition at no cost.

One payment. The main guide stays free to read.

Get one letter a month: the new guides worth your time, and where the books disagree.

One letter a month from Leading With Data, plus a short welcome. Your address is used for this letter only. Unsubscribe any time.