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Related frameworks

Influence3 steps

Bring the Insight to Win Over Skeptics

Earn trust from more-experienced people by owning customer insight, not by faking expertise

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Mindset4 steps

False Positive Risk and the Replication Protocol

A p<0.05 win can be 26% likely false when idea success rates are low — replicate borderline results

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Mindset3 steps

How Might the Opposite Be True

Break a scarcity or false-tradeoff frame by forcing yourself to argue the reverse

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Innovation4 steps

Incremental OFAT Over Big-Bang Redesign

Decompose big redesigns into one-factor-at-a-time tested steps because ~80% of ideas fail

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Leadership4 steps

Institutional Memory of Experiments

Capture wins, losses, and surprises so the org keeps learning instead of relaunching old ideas

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Self-Mastery3 steps

Learning Curve, Environment, Problem

Evaluate whether to stay in or leave a role using three questions, not job titles

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Strategy4 steps

Sample Ratio Mismatch (SRM) Validity Check

Verify your traffic split matches its design before trusting any experiment result

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Productivity3 steps

Single-Owner Review Limits

Cap reviews, approvals, and meeting size so one accountable owner drives the pace

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Leadership3 steps

Situation-Behavior-Impact Feedback

Deliver hard feedback as an undeniable subjective observation, not a verdict

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Strategy4 steps

The 200K-User Experimentation Readiness Rule

Below ~200K users detect only big effects; use the wait to build platform and culture

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Innovation4 steps

The Double Diamond Product Process

Alternate broad exploration and narrow selection across customer, problem, and solution

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Strategy4 steps

The Overall Evaluation Criterion (OEC)

Define one success metric with countervailing guardrails that predicts long-term lifetime value

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Self-Mastery3 steps

The Three E's of Career Growth

Grow faster by deliberately balancing experience, exposure, and education

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Influence4 steps

The Trust Equation

Trust = (credibility + reliability + authenticity) / perception of self-interest

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Mindset4 steps

Twyman's Law: Investigate the Too-Good-to-Be-True Result

Any surprising or extreme experiment result is probably wrong until you've hunted for the flaw

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