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measure

Defines UX success metrics, A/B tests, and funnel analyses with ethical measurement guardrails.

Updated Aug 20, 2026
Search Tags:#measurement#experimentation#a/b testing#funnel analysis#counter-metrics#ux metrics#heart framework
One-click install
npx skills add https://github.com/ishfuseini/usecase-gen --skill measure-ishfuseini
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: measure
Source: https://github.com/ishfuseini/usecase-gen/tree/main/agent/skills/measure
Command: npx skills add https://github.com/ishfuseini/usecase-gen --skill measure-ishfuseini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Teams often ship features without defining what success looks like, or they optimize the wrong metrics and end up rewarding dark patterns instead of genuine user value. This Skill connects design decisions to observable evidence by defining what to measure, how to measure it, and how to act on what you learn. ## Core Features & Use Cases - Metric Selection Frameworks: Apply the HEART framework (Happiness, Engagement, Adoption, Retention, Task success) and Goal-Signal-Metric mapping to choose the right metrics per feature, including counter-metrics that catch harmful side effects. - Experiment and Funnel Design: Build rigorous A/B test plans with hypotheses, minimum detectable effect, sample size tables, guardrail metrics, and segmentation, plus funnel analyses that pair quantitative drop-offs with qualitative research. - Ethical Measurement: Detect Goodhart's Law failures and dark metric patterns, pairing every business metric with a user-outcome metric so engagement gains do not hide manipulation. - Use Case: After launching a new checkout flow, use this Skill to build a GSM chain, design an A/B test with proper sample sizing, analyze the funnel by segment, and verify that conversion gains did not come at the cost of user satisfaction. ## Quick Start Ask the assistant to define success metrics and an A/B test plan for your new feature using the measure skill.

Frequently Asked Questions about measure

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

FAQPage Schema
How do I choose the right UX metrics for a new feature?▼

Use the HEART framework to pick 2-3 dimensions that match the feature's intent, such as task success for checkout or adoption for a launch. Then build a Goal-Signal-Metric chain so each metric traces back to a specific user outcome.

How do I design an A/B test with the right sample size?▼

Define a hypothesis with an expected effect size, set the minimum detectable effect before the test, and calculate sample size from baseline rate, 80% power, and 95% significance. Run at least 1-2 full weekly cycles and define guardrail metrics that must not degrade.

What is a counter-metric and why do I need one?▼

A counter-metric is the metric that could suffer while your primary metric improves, such as satisfaction dropping while engagement rises. It acts as an early warning that optimization is creating dark patterns or harming user experience.

When should quantitative metrics be paired with qualitative research?▼

Pair them whenever numbers show a drop-off or score change without explaining why. Use quantitative data to find where users struggle, qualitative research to understand why, then quantitative again to verify the fix worked.

What are the limitations of funnel analysis?▼

Aggregate funnels hide segment differences, and imprecise step definitions produce misleading conversion rates. Funnels show where users drop off but not why, so they must be combined with session recordings or usability testing before making design decisions.

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