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metrics-definition

Define UX metrics and KPIs that connect design decisions to measurable outcomes. Use when choosing what to measure. For presenting the results afterwards, use `design-impact-reporting` (design-ops).

Published by Owl-Listener ↗Owl-Listener/designer-skills

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Define initial UX metrics

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Use the metrics-definition skill for <feature-or-design-decision>. Recommend 3–5 primary UX metrics that balance behavioral and attitudinal evidence. For each metric, provide its definition, measurement method, data source, target, measurement frequency, and owner, and connect it to the design hypothesis. Clearly identify any baseline information that is still missing.

Required inputs

  • Feature or design decision to measure
  • Design hypothesis and intended user outcome
  • Available data sources or known baselines, if any

Suggested template by Skill Leaderboard, grounded in the linked source. Task evidence ↗

SKILL.md

name: metrics-definitiondescription: Define UX metrics and KPIs that connect design decisions to measurable outcomes. Use when choosing what to measure. For presenting the results afterwards, use `design-impact-reporting` (design-ops).

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