Metrics basics

Skill nemanli/ux-metrics-skills/skills/metrics-basics

UX Metrics skills for AI coding agents.

Install

npx -y skills add nemanli/ux-metrics-skills --skill metrics-basics

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Defines UX measurement frameworks, terms, and philosophy when the user is learning the foundation rather than applying it — "what is HEART?", "define cohort retention", "what is MDE?", "what's a decision rule?", "why do we measure things this way?". Skip when a real situation is in mind (redesign, metric drop, stakeholder report, pre-launch plan, A/B test, tracking plan, claim review) — those go to the content skills.

SKILL.md

2.7 KB, as published. Nobody here has run it

Overview

Shared foundation for every metrics skill in this repo. Holds the HEART framework, measurement philosophy, the term glossary, and the 4 context anchors used by adaptive mode. Other skills (metrics-ux, metrics-spec, metrics-instrumentation, metrics-diagnose, metrics-review, metrics-present) read these references when they need shared context.

When to Use

Use this skill when:

The user asks directly about HEART (categories, Goals–Signals–Metrics, choosing categories).
The user asks what a metric term means (e.g. "what's a baseline?", "what's a cohort?").
The user asks a meta question about measurement ("why measure this?", "when should we not measure?").
Another skill needs the 4 context anchors to run its adaptive questionnaire.

Do not use this skill when the user has a concrete task that fits a content skill (UX measurement, diagnosing a metric drop, presenting results). Those skills load this one's references as needed.

References

Read only what the current task requires. Do not load all references by default.

heart.md — Google HEART framework: 5 categories, Goals–Signals–Metrics, choosing categories, baselines, common pitfalls. Read when the user mentions HEART, picks UX categories, or needs the Goals–Signals–Metrics process.
measurement-philosophy.md — why we measure, what measurement is not, when not to measure. Read when the user questions the value of measurement, proposes a vanity metric, or asks meta questions.
glossary.md — definitions of recurring terms (baseline, cohort, vanity metric, Goodhart, counter-metric, HEART, NPS, MDE, decision rule, tracking plan, PII, SRM, etc.) grouped by category: frameworks, UX metrics, statistics, communication, and planning/experimentation/instrumentation/review. Read when the user asks what a term means or uses one ambiguously.
context-questions.md — full wording of the 4 anchors (SCOPE / STAGE / AUDIENCE / DATA), present-vs-missing prompt examples, decision logic, and the inline-list convention for asking the user. Read when running the adaptive questionnaire in vague mode or when any skill is about to ask the user something.