Metrics Definition
- 946 installs
- 1.9k repo stars
- Updated June 14, 2026
- owl-listener/designer-skills
metrics-definition is a UX planning skill that defines behavioral, attitudinal, business, and engagement KPIs linked to design decisions for developers and designers who must prove design impact with measurable outcomes.
About
metrics-definition helps teams define UX metrics and KPIs that connect design work to measurable business and user outcomes. The skill covers behavioral metrics such as task completion, time on task, error rate, and feature adoption; attitudinal measures including SUS, NPS, and CSAT; business indicators like conversion, retention, and onboarding completion; and engagement signals such as DAU/MAU and session duration. It applies the HEART framework across Happiness, Engagement, Adoption, Retention, and Task success. Developers and designers reach for metrics-definition when scoping how to measure a redesign, new feature, or UX experiment before instrumentation and analytics implementation.
- Defines Behavioral, Attitudinal, Business, and Engagement metric categories
- Applies the HEART Framework (Happiness, Engagement, Adoption, Retention, Task Success)
- Uses a standardized Metric Template with name, definition, method, data source, target, frequency, and owner
- Recommends choosing 3-5 primary metrics with balanced behavioral and attitudinal coverage
- Connects metrics directly to design hypotheses and qualitative insights
Metrics Definition by the numbers
- 946 all-time installs (skills.sh)
- +42 installs in the week ending Jul 29, 2026 (Skillselion tracking)
- Ranked #435 of 1,888 Design & UI/UX skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 31, 2026 (Skillselion catalog sync)
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| Installs | 946 |
|---|---|
| repo stars | ★ 1.9k |
| Security audit | 3 / 3 scanners passed |
| Last updated | June 14, 2026 |
| Repository | owl-listener/designer-skills ↗ |
How do you define UX metrics for a feature?
Define UX metrics and KPIs that link design decisions to measurable business and user outcomes.
Who is it for?
Designers and product engineers scoping measurable success criteria before building analytics instrumentation for a UX change.
Skip if: Teams needing SQL dashboards, event tracking implementation, or A/B test setup should skip metrics-definition because it defines metrics rather than builds pipelines.
When should I use this skill?
User asks to define UX KPIs, HEART metrics, or connect design decisions to business outcomes.
What you get
Documented metric categories, HEART-aligned KPIs, and design-to-outcome measurement plan.
- UX KPI definition document
- HEART-aligned metric plan
- Design-to-outcome mapping
By the numbers
- Covers 4 metric categories: behavioral, attitudinal, business, engagement
- HEART framework spans 5 dimensions
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
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Use metrics-definition to scope what to measure; pair with analytics pipeline skills when you need ETL, event schemas, or dashboard implementation.
FAQ
What metric frameworks does metrics-definition cover?
metrics-definition applies the HEART framework and organizes KPIs into behavioral, attitudinal, business, and engagement categories. Examples include task completion, SUS, NPS, CSAT, conversion, retention, and DAU/MAU.
When should a team use metrics-definition?
metrics-definition fits early validation when teams must decide what to measure before instrumentation. The skill connects design decisions to concrete KPIs such as error rate, feature adoption, and onboarding completion.
Is Metrics Definition safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.