Analyze growth
Skill VRymarovich/product-launch-os/plugins/product-launch-os/skills/analyze-growth
Analyze product growth through acquisition, activation, engagement, retention, monetization, referral, and experiment design. Use for funnel analysis, analytics plans, KPI definitions, growth reviews, prioritizing experiments, diagnosing conversion problems, or deciding what to measure next.From its SKILL.md
npx -y skills add VRymarovich/product-launch-os --skill analyze-growthAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.6 KB, 267 tokens by cl100k_base, as published. Nobody here has run it
Analyze Growth
Find the highest-leverage constraint in the product funnel and design measurable experiments.
Workflow
- Read
docs/product/metrics.md, product events, analytics integrations, entitlements, acquisition surfaces, onboarding, anddocs/product/roadmap.md. - Define the funnel in user behaviors, with clear event names and identity boundaries.
- Audit data quality before interpretation: missing events, duplicates, anonymous/authenticated joins, time windows, and denominators.
- Locate the largest meaningful drop or uncertainty across acquisition, activation, engagement, retention, monetization, and referral.
- Segment by source, platform, cohort, use case, account state, and product version where possible.
- Generate experiments tied to a causal hypothesis and one primary metric.
- Rank experiments by impact, confidence, effort, speed of learning, and downside.
- Define guardrail metrics and stop conditions.
- Update
docs/product/metrics.mdanddocs/product/roadmap.md.
Read references/growth-review.md for the review template.
Guardrails
- Never infer causality from a single aggregate correlation.
- Do not report metrics without a time window and denominator.
- Prefer retention and repeated value over raw installs or page views.
What ships with it: 2 files
561 B alongside SKILL.md
agents/
- openai.yaml217 B
references/
- growth-review.md344 B