Growth Experimenter

This walks you through running actual growth experiments using the AARRR funnel framework. You get hypothesis templates, A/B test specs with sample size calculators, and concrete experiment ideas for each stage like testing landing page headlines, simplifying onboarding flows, or optimizing paywalls. The statistical significance stuff is practical, not academic. It's opinionated about where to focus (the leakiest bucket in your funnel) and includes real examples with expected lift percentages. Use this when you need to systematically improve conversion rates rather than guessing what might work. The experiment framework is thorough enough that you could hand it to someone who's never run a growth test before.

skills.sh installs: 160
GitHub stars: 39
last updated: Aug 21, 2026

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Install

$ npx -y skills add daffy0208/ai-dev-standards --skill growth-experimenter --agent claude-code

Installs into .claude/skills of the current project.

Files

Growth Experimenter

Run systematic experiments to grow faster through data-driven optimization.

Core Philosophy

Growth = Experimentation Velocity × Win Rate × Impact per Win

Run more experiments
Increase your hit rate through better hypotheses
Focus on high-impact areas

Growth Model (AARRR / Pirate Metrics)

Acquisition → Activation → Retention → Revenue → Referral
    ↓             ↓            ↓          ↓         ↓
  Traffic      Sign Up      Day 30    Upgrade   Invites
  100%          40%          50%        20%       10%

Example: 10,000 visitors/month
→ 4,000 signups (40%)
→ 2,000 active at D30 (50%)
→ 400 paying (20%)
→ 40 referrals (10%)

Improve ANY metric by 10% = 10% more customers

Where to focus first: The leakiest bucket