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Operating knowledge

Experiments

The smallest meaningful test

A decision needs making and the proposed next step is large, slow or expensive.

Signals to look for

  • test
  • experiment
  • validate
  • try
  • prove
  • pilot
  • hypothesis

Questions to answer

  • What single belief is this test meant to check?
  • What is the cheapest artefact that can check it?
  • What result would change the decision?
  • How long before the answer is readable?

Evidence required before committing

  • the belief stated as a sentence
  • the measure that would confirm or deny it
  • the sample needed for the difference to be visible

Likely constraint

  • A test too small to read
  • A test that cannot fail

How the decision branches

  • If
    No result would change the decision
    Then
    Do not run the test. Make the decision.
  • If
    The test requires building first
    Then
    Reduce it: a conversation, a page or a priced proposal usually suffices.
  • If
    The sample is too small to detect the difference sought
    Then
    Enlarge the sample or accept the test only detects a large effect.

What to test

Write the belief, the measure, the sample, the success rule and the stop rule on one page before doing anything.

Read after 21 days.

What success looks like

  • All five are written before execution
  • The result is unambiguous when it arrives

What means stop

  • The success rule cannot be written — the belief is too vague to test

Typical next move

  • The success rule is metScale one step and re-measure.
  • The stop rule is metStop, and record the finding as a company fact.

Who does the work

Aury can carry out: prepare document, create task, file memory. Specialists involved: strategy, research.

Your approval: Success and stop rules are agreed with the founder before execution begins.

Where this stops being true

Applies to any decision where evidence is obtainable cheaply.

Small tests detect large effects. They cannot settle marginal questions, and a null result is not proof of absence.

Provenance

  • Sourced operator experience: Experiment-design practice, standard across product and growth work
  • Aurygine synthesis: Aurygine synthesis across founder journeys

Confidence: high. Last reviewed 2026-08-25. Your company's own recorded results override this playbook whenever the two disagree.