Diagnostic System

Validate product decisions before scale makes them expensive.

ProductBooks is the diagnostic layer for Problem, Product, and Business Model decisions.

Start with Problem–Solution Fit. No sign-up required.

System Flow

Problem → Product → Model

Problem

Problem–Solution Fit

If the problem is weak, every signal above it misleads.

Product

Product–Market Fit

If users do not return, you do not have product–market fit.

Business Model

Business Model Fit

If margins break at scale, the model fails.

If one breaks, everything above misleads

  • Product signals are invalid without a real problem.
  • Business signals are invalid without real product pull.

Evaluate the system in order

Start at the lowest stage you can prove. Move up only when the stage below holds.

FAIL

Problem–Solution Fit

Truth test for problem pain and solution pull.

Output

Score 0 / 100[FAIL]

Signals

  • Problem pain is still unproven.
  • Solution pull has not been scored.
  • Real user evidence is still missing.

What to do next

Run the stage to test whether the problem is real enough to continue.

FAIL

Product–Market Fit

Truth test for return behaviour, demand, and payment.

Output

Score 0 / 100[FAIL]

Signals

  • Retention has not been validated.
  • Demand may still be launch-driven.
  • Payment behaviour is not confirmed.

What to do next

Run the stage once real users exist and repeat behaviour needs to be tested.

FAIL

Business Model Fit

Truth test for margins, founder load, and scale resilience.

Output

Score 0 / 100[FAIL]

Signals

  • Unit economics are not verified.
  • Founder dependency may still distort the model.
  • Scale resilience is still unknown.

What to do next

Run the stage before treating growth, spend, or hiring as justified.

ProductBooks may tell you to stop

  • Weak problem evidence should halt product confidence.
  • Weak retention should halt growth confidence.
  • Weak economics should halt scale confidence.

Evidence & Verdicts

Strict inputs only. Missing proof does not get the benefit of the doubt.

What counts as evidence

  • Real users with verifiable source material.
  • Observed behaviour before stated opinion.
  • Payment or commitment before intent.

What scores zero

  • Team belief, summary, or interpretation only.
  • Enthusiasm without behaviour change.
  • Forecasts used as proof of current demand.

Generate the evidence you do not have

Tools exist to improve the score. They do not replace the score.

User Survey Generator

GENERATE

Build behaviour-led surveys that expose real pain and current alternatives.

Used to improve

Problem existence and frequency evidence.

User Interview Generator

GENERATE

Build interview prompts that test pain, context, and failed workarounds.

Used to improve

Observed problem intensity and user context.

Prototype Test Generator

BUILD

Set up low-friction prototype tests that force real reaction instead of polite interest.

Used to improve

Solution reaction and behavioural validation.

What to do next

Most teams should start with Problem–Solution Fit.

Validate the problem first. Product and model signals mean less if the foundation is still assumed.

Go to Problem–Solution Fit

Run the first stage before you commit more cost.

ProductBooks is built to show what still holds, what fails, and what evidence is still missing.