Chapter 2 of 7

Chapter 2: The Validation Engine – Tactical Artifacts and Workflows

The hardware of the Founder OS: Javelin Boards, Test Cards, and Value Proposition Canvas.

What You'll Learn By the end of this chapter, you'll know how to use the Javelin Board, Test Cards, and Value Proposition Canvas to run rigorous experiments that give you real answers.

From Thinking to Testing

In Chapter 1, you debugged your mindset. You know the mental traps. But knowing isn't enough—you need a system for actually testing your assumptions in the real world.

That's what the Validation Engine is: a set of practical tools that force you to be specific about what you believe and how you'll test it. Think of them as your laboratory equipment for startup science.

Why Tools Matter

Without structured tools, "validation" becomes a vague promise you make to yourself. With the right tools, validation becomes a concrete process with clear inputs and outputs. The tools don't let you cheat.

Tool #1: The Javelin Board

The Javelin Board (also called an Experiment Board) is your command center for validation. It's a visual system that breaks down your big vision into small, testable pieces.

Why "Javelin"?

Named after the Lean Startup methodology tool, it represents throwing focused, targeted experiments at the market—like throwing a javelin at a target. Each throw is precise and measurable.

The 6 Columns of the Javelin Board

1. Customer

Who exactly are you targeting?

Not: "Small businesses"
Better: "Solo accountants with 10-50 clients, using QuickBooks, frustrated by client communication"

2. Problem

What specific pain do they have?

Not: "They need better tools"
Better: "They spend 5+ hours/week chasing clients for missing documents"

3. Solution

(Intentionally left blank at first!)

Don't fill this in until you've validated the customer and problem. The solution comes last, not first.

4. Hypothesis

Your testable belief statement

"We believe that [Customer] has [Problem] and will [take Action] to solve it."

5. Experiment

How you'll test the hypothesis

Could be interviews, landing pages, smoke tests, concierge MVPs, or any other validation method.

6. Result

Validated or Invalidated

Binary answer. No "kind of validated." Either the data met your success criteria or it didn't.

How to Use the Javelin Board

The 5-Step Process

  1. Start with Customer + Problem. Fill in only columns 1-2. Leave Solution blank.
  2. Form a hypothesis. Write it in column 4 using the template.
  3. Design an experiment. Pick the fastest, cheapest test that can prove you wrong.
  4. Run the experiment. Collect real data from real people.
  5. Record the result. Validated? Move to the next riskiest assumption. Invalidated? Pivot to a new hypothesis.
Common Mistake: Starting with the Solution

Most founders fill in the Solution column first. That's backwards. You should validate that the customer exists and has the problem before you even think about solutions. Otherwise, you're building a product for an imaginary customer.

Build Your Javelin Board with AI

Our Lean Canvas Generator helps you structure your assumptions into a testable format. Start with your raw idea and get a structured experiment board.

Lean Canvas Generator

Tool #2: The Test Card

The Javelin Board shows what you're testing. The Test Card shows how you'll know if you passed or failed. It's the most important tool for fighting Happy Ears syndrome.

The Power of Pre-Commitment

By writing down your success criteria before you run the experiment, you can't cheat. You can't rationalize "close enough" after the fact. The Test Card makes validation honest.

The Test Card Template

Fill In These 4 Blanks

1. We believe that:

(Your hypothesis—who has what problem)

2. To verify that, we will:

(The specific test you'll run)

3. And measure:

(The specific metric you'll track)

4. We are right if:

(Your success threshold—the number that validates or invalidates)

Test Card Examples

Meal Kit Example

We believe that: Busy parents want a healthy meal kit that kids will actually eat.

To verify that, we will: Create a landing page with a "Pre-order" button.

And measure: Click-through rate on the "Pre-order" button.

We are right if: At least 10% of visitors click "Pre-order".

SaaS Example

We believe that: Freelance developers hate invoicing and would pay to automate it.

To verify that, we will: Cold email 100 freelancers offering a demo.

And measure: Reply rate and demo requests.

We are right if: At least 15 people request a demo.

What Happens When You Fail?

Let's say you ran the meal kit experiment and got 6% clicks instead of 10%. What now?

The Post-Mortem Questions
  1. Was the test flawed? (Wrong audience, bad copy, technical issues?)
  2. Is the customer segment wrong? (Maybe it's not "busy parents" but "busy single dads"?)
  3. Is the problem wrong? (Maybe they don't care about healthy—just fast?)
  4. Is the value proposition wrong? (Maybe a meal kit isn't the right solution?)

Use the failure to form your next hypothesis. Every invalidation is a clue.

Don't Move the Goalposts

It's tempting to say "6% is pretty close to 10%, let's call it a win." Don't do it. If you set 10% as your threshold, 6% is a failure. You can run a new test with different parameters, but you can't retroactively change your success criteria.

Tool #3: The Value Proposition Canvas

The Value Proposition Canvas is a visual tool for mapping why customers will (or won't) buy from you. It has two sides: what the customer needs and what you provide.

The Two Halves

Customer Profile

Jobs to be Done: What tasks are they trying to accomplish?

Pains: What frustrations do they experience?

Gains: What outcomes do they desire?

Value Map

Products & Services: What are you offering?

Pain Relievers: How do you reduce their pains?

Gain Creators: How do you deliver their desired gains?

The Fit

Product-market fit happens when your Value Map addresses the most important elements of your Customer Profile. But here's the key insight:

Validate the Customer Profile First

Early experiments should focus on validating that your Customer Profile is accurate—not selling your solution. Do customers really have those jobs? Are those pains really painful? Are those gains really desirable? Don't assume. Test.

The Problem Priority Stack

Not all pains are created equal. Use this framework to rank which problems are worth solving:

Pain Ranking Criteria

Criteria Question to Ask Best Answer
Frequency How often do they experience this? Daily or weekly
Intensity How much does it hurt? "I lose sleep over this"
Willingness to Pay Have they tried to solve it before? "I've spent money on this"
Accessibility Can you reach these customers? Clear channels exist
Analyze Your Pivot Options with AI

When experiments fail, the Pivot Compass helps you explore whether to pivot on customer segment, problem, solution, or business model—with data-driven recommendations.

Pivot Compass

Choosing Your Experiment Type

Different assumptions require different tests. Here's a quick guide:

Customer Interviews

Best for: Validating that the problem exists and matters

Time: 20-30 mins per interview

Sample size: 10-15 interviews

Key tip: Follow The Mom Test—ask about past behavior, not future intentions. See Playbook 02: Qualitative Discovery for interview techniques.

Landing Page Tests

Best for: Validating interest in a specific solution

Time: Can launch in hours

Sample size: 100-500 visitors

Key tip: Include a clear call-to-action (sign up, pre-order, book demo)

Concierge MVP

Best for: Validating that you can deliver value

Time: Deliver manually to 5-10 customers

Sample size: Small but deep

Key tip: Charge money—even if it's discounted—to validate willingness to pay

Ad Campaigns

Best for: Validating demand at scale

Time: Run for 1-2 weeks

Sample size: 1,000+ impressions

Key tip: Test multiple value propositions with different ad copy

The Experiment Velocity Principle

Speed matters more than perfection. The faster you run experiments, the faster you learn, and the more likely you are to find product-market fit before you run out of money.

The Velocity Rule

Aim to run at least one experiment per week. If you're going multiple weeks without running a test, you're probably stuck in analysis paralysis. Ship something. Learn something.

The Experiment Sizing Matrix

When designing an experiment, optimize for learning per unit time:

Low Learning High Learning
Fast Skip these PRIORITIZE
Slow Avoid Only if necessary

Key Takeaways

Your Validation Toolkit
  1. Use the Javelin Board to organize all your assumptions into testable hypotheses.
  2. Use Test Cards to pre-commit to success criteria before running experiments.
  3. Use the Value Proposition Canvas to map customer needs to your offering.
  4. Validate Customer + Problem first. Solution comes last.
  5. Run experiments weekly. Speed of learning is your competitive advantage.

Now that you have the tools to run experiments, you need a way to measure if you're actually making progress. In the next chapter, we'll explore Innovation Accounting—the metrics that matter when you're searching for product-market fit.

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Works Cited & Recommended Reading
Lean Startup Methodology
  • 1. Methodology - The Lean Startup. The Lean Startup
  • 2. What the Father of Lean Startup Thinks You Need to Start Up. Entrepreneur
  • 3. Status of the Lean Startup Methodology (2021): From Theoretical Foundations to Practice Experience. Hilaris Publisher
Founder Psychology & Resilience
  • 4. Can you measure entrepreneurial resilience? A framework for founder characteristics. Insignia Ventures
  • 5. Entrepreneurial resilience, a key soft skill to develop in a crisis situation. ULM Digital Repository
Cognitive Biases & Decision Making
  • 6. The Assessment of Biases in Cognition. MITRE
  • 7. Cognitive biases in entrepreneurship: a research report. Ness Labs
  • 8. 5 Most Common Entrepreneurial Cognitive Biases. StartUs Magazine
  • 9. Entrepreneur Cognitive Bias: 7 Biases That Kill Startups. Founder Institute
  • 10. Avoiding Founder Bias: 17 Traps That Kill Good Products. DevSquad
  • 11. How the sunk cost fallacy influences our decisions. Asana
  • 12. The Sunk Cost Fallacy. The Decision Lab
  • 13. How Biases Can Color Entrepreneurial Decision-Making. The Decision Lab
  • 14. Confirmation Bias in Product Management (And How to Avoid It). Amplitude
Javelin Experiment Board
  • 15. Javelin Experiment Board. BIGJUMP
  • 16. Complete the Javelin Board and Speak with Your First Customers. Connor Gillivan
  • 17. Why Lean Startup Experiments are Hard to Design. Lean.org
  • 18. Pivot, Patch, or Persevere (I Patched the Lean Startup). Medium
Strategyzer Test & Learning Cards
Innovation Accounting
  • 24. What is Innovation Accounting? 25 metrics to get started. GroundControl
  • 25. Experiment Velocity vs. Learning Velocity. Medium
  • 26. Lean Startup's Innovation Accounting Template is a Game-Changer. Praxie
  • 27. Innovation Accounting for Lean Startup: 15 KPIs for 2025. GrowthJockey
  • 28. Levels of Innovation Metrics. Kromatic
  • 29. Principles of an Innovation Accounting System. Innovation Accounting Book
Investment Readiness Level (IRL)
  • 30. Steve Blank Investment Readiness Level. Steve Blank
  • 31. Is This Startup Ready For Investment? Steve Blank
  • 32. Is This Startup Ready For Investment? Forbes
  • 33. Lean LaunchPad - VentureWell Educators Guide. VentureWell
Sprint Planning & Operational Cadence
  • 34. Sprint planning meeting guide. Atlassian
  • 35. Templates Suck, Here's Our Lean Startup Template. Kromatic
  • 36. What is sprint planning? Here's everything you will need to know. Adobe
  • 37. Pivot or Persevere Template. Kromatic
  • 38. Early Stage Lean: Running Weekly Decision Meetings. Medium
Common Startup Failures
  • 39. 50 Startup Mistakes. And how to avoid them. Medium

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