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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).

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designer-skills
2.9k111 skills33 commands
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$ npx -y skills add Owl-Listener/designer-skills --skill metrics-definition --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/metrics-definition

Context preview

The summary Claude sees to decide when to auto-load this skill.

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).

SKILL.md

metrics-definition.SKILL.md
name: metrics-definition
description: 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
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Design skills for the agent era, written so an AI agent can actually use them. 273 skills and 76 commands across 33 plugins, in five collections, for Claude Code and Gemini CLI. Not sure which skill you need?

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