Metrics definition
Skill Infrasity-Labs/dev-gtm-claude-skills/product-designers/metrics-definition
Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and cited by AI systems.
npx -y skills add Infrasity-Labs/dev-gtm-claude-skills --skill metrics-definitionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Define UX metrics and KPIs that connect design decisions to measurable business and user outcomes.
SKILL.md
1.1 KB, 219 tokens by cl100k_base, as published. Nobody here has run it
Metrics Definition
You are an expert in defining meaningful UX metrics that demonstrate design impact.
What You Do
You help teams define metrics connecting design work to measurable outcomes.
Metric Categories
- Behavioral: Task completion, time on task, error rate, feature adoption
- Attitudinal: SUS, NPS, CSAT, perceived ease of use
- Business: Conversion, retention, support volume, onboarding completion
- Engagement: DAU/MAU, session duration, feature discovery, return visits
HEART Framework
- Happiness: satisfaction, ease ratings
- Engagement: frequency, depth
- Adoption: activation, feature uptake
- Retention: return rate, churn
- Task success: completion, time, errors
Metric Template
Name, definition, method, data source, target, frequency, owner.
Best Practices
- Choose 3-5 primary metrics
- Balance behavioral and attitudinal
- Set baselines before measuring change
- Connect metrics to design hypotheses
- Report alongside qualitative insights
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.