measure

Define UX success metrics using Goal-Signal-Metric chains.

116|9|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/ghaida/intent --skill measure-ghaida
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: measure
Source: https://github.com/ghaida/intent/tree/main/skills/measure
Command: npx skills add https://github.com/ghaida/intent --skill measure-ghaida

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

UX measurement connects design decisions to observable evidence — did the thing we built actually help? This skill defines what to measure, how to measure, and how to make decisions from what you learn. It bridges the gap between "we shipped it" and "it worked." But measurement is not neutral; metrics shape what gets optimized and can become manipulation if used in isolation.

Core Features & Use Cases

  • HEART framework for metric selection across features to avoid one-size-fits-all KPIs.
  • Goal-Signal-Metric (GSM) mapping to connect outcomes to observable actions and quantify success.
  • A/B test design and guardrails, including minimum detectable effect, sample size, and segmentation.
  • Funnel analysis templates to identify where users drop off and why.
  • Qualitative-quantitative triangulation to explain what and why behind metrics.
  • Ethical measurement guidance and counter-metric definition to avoid manipulation.

Quick Start

Configure a minimal GSM chain for a feature and sketch a lightweight dashboard to monitor the chosen metrics.

Frequently Asked Questions about measure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I tie UX outcomes to observable metrics using a GSM chain?

The HEART framework provides categories like Happiness, Engagement, Adoption, Retention, and Task Success to guide metric selection. It prevents one-size-fits-all KPIs by tailoring measurement strategies across different features.

How do I design an A/B test with guardrails and proper sample size?

A/B test design defines minimum detectable effect, calculates required sample size, and establishes guardrails to prevent harm. Segmentation guidance ensures reliable, actionable insights rather than misleading aggregate data.

Why do I need counter-metrics and ethical considerations for UX measurement?

Counter-metrics and ethical considerations prevent manipulation caused by optimizing isolated metrics. Ethical measurement guidance ensures metrics shape positive outcomes rather than exploiting user behavior or creating unintended negative effects.

Can I use funnel analysis templates to identify where users drop off?

Funnel analysis templates identify where users drop off and why within a defined user journey. These templates combine with qualitative-quantitative triangulation to explain the specific causes behind observed metric drops.

What is the best way to configure a minimal Goal-Signal-Metric mapping for a feature?

Configuring a minimal Goal-Signal-Metric mapping involves defining what success looks like for a specific feature and sketching a lightweight dashboard. This quick start approach monitors chosen metrics without requiring extensive infrastructure.