UX Metrics & Measurement

Define and operationalize UX measurement frameworks like HEART, SUS, and UEQ.

35|13|Updated Feb 14, 2026

Search Tags:#usability testing #a/b testing #ai ux #product analytics #sus #ux metrics #heart framework

Ready to run

npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill ux-metrics-measurement

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: UX Metrics & Measurement
Source: https://github.com/phazurlabs/ux-ui-mastery/tree/main/skills/ux-metrics-measurement
Command: npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill ux-metrics-measurement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams stop guessing about user experience and start measuring what actually drives usability, satisfaction, adoption, retention, and business impact.

Core Features & Use Cases

Framework selection: Choose the right measurement model for the job, including HEART, SUS, UEQ, UMUX-Lite, SUPR-Q, and task-based metrics.
Experimentation and benchmarking: Design A/B tests, cohort analyses, retention curves, and baseline comparisons that produce defensible results.
AI and design system evaluation: Track trust calibration, correction frequency, component adoption, consistency, and ROI for AI features and design systems.
Use case: A product manager can evaluate a checkout redesign by combining task success rate, time on task, SUS, and conversion lift to prove whether the new flow is better.

Quick Start

Analyze my product or UX flow and recommend the best measurement framework, the primary success metric, and the guardrail metrics I should track.

Frequently Asked Questions about UX Metrics & Measurement

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

FAQPage Schema

How do I choose the right UX measurement framework for my product?▼

Selecting a UX measurement framework depends on your goal: HEART tracks broad adoption and retention, SUS measures perceived usability, and UEQ captures emotional response. Task-based metrics evaluate specific flow efficiency for targeted product evaluations.

What is the best way to measure the ROI of a design system?▼

Measure design system ROI by tracking component adoption rates, consistency across product surfaces, and baseline comparisons. Benchmarking these metrics over time provides defensible evidence of design efficiency and development speed improvements.

How do I set up guardrail metrics for an A/B test?▼

Establish guardrail metrics alongside your primary success metric to prevent negative impacts during A/B testing. Track task success rate and time on task to ensure usability improvements do not degrade overall user experience or retention.

Can I evaluate AI feature trust using standard UX metrics?▼

Evaluating AI features requires specialized UX metrics like trust calibration and correction frequency. Standard frameworks like HEART can be adapted, but tracking AI-specific guardrail metrics ensures reliable measurement of user satisfaction and adoption.

How do I prove a checkout redesign is better using usability testing data?▼

Combine task success rate, time on task, and SUS scores from usability testing with conversion lift from A/B testing. This multi-metric approach provides defensible evidence that your new checkout flow improves both user experience and business impact.

When should I use UMUX-Lite instead of SUPR-Q for product analytics?▼

Use UMUX-Lite for quick, lightweight usability measurement within product analytics workflows. Choose SUPR-Q when you need a comprehensive evaluation covering usability, trust, appearance, and loyalty across broader user experience benchmarking studies.