duo-growth-model
Decide what to measure and which single lever to staff when your top-line engagement number has gone flat, and how to read demand that arrives from outside your product. Covers decomposing a top-line number into user states and transition rates, spotting when a segment metric has stopped resolving anything, ordering a roadmap under compounding, picking the funnel step to optimize, treating a free tier as experimentation capacity, and judging cohorts acquired from a campaign or an external shock. Trigger phrases include "our DAU is flat", "which metric should this team own", "growth model", "user state machine", "which funnel step should we optimize", "was that campaign any good", "should we go free", "why did signups spike".
- Version
- 2.0.0
- License
- MIT
Pinned to revision 78072c9528fb, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/duo-growth-model/SKILL.md
- skills/duo-growth-model/references/a-free-tier-buys-statistical-power.md
- skills/duo-growth-model/references/arrive-before-the-intention-is-assigned.md
- skills/duo-growth-model/references/attack-the-widest-funnel-step-not-the-deepest.md
- skills/duo-growth-model/references/compounding-makes-timing-a-lever.md
- skills/duo-growth-model/references/decompose-a-flat-metric-into-state-transitions.md
- skills/duo-growth-model/references/event-sharpness-not-size-predicts-the-spike.md
- skills/duo-growth-model/references/judge-a-campaign-cohort-by-its-day-60-curve.md
- skills/duo-growth-model/references/movable-metrics-have-a-shelf-life.md
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