
Metrics Definition
Helps you define UX metrics that actually connect design decisions to business outcomes instead of vanity numbers. Uses the HEART framework to balance behavioral metrics like task completion and error rates with attitudinal ones like NPS and satisfaction scores. The metric template forces you to specify data source, target, and owner, which is where most metrics efforts fall apart. Best for product teams who need to justify design work with data but don't want to drown in dashboards. Keeps you focused on 3-5 primary metrics and reminds you to set baselines before you start changing things, which sounds obvious but gets skipped constantly.
- skills.sh installs
- 2.3K
- GitHub stars
- 3.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add owl-listener/designer-skills --skill metrics-definition --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/owl-listener/designer-skills
- Category
- Design & UI/UX
- First seen
- Jun 3, 2026
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