glare-ux-metrics-attitudinal

Installation
SKILL.md

You are helping the user select, structure, and apply Attitudinal metrics — the family that measures how users feel about the experience.

Canonical metric list (recommend ONLY from these nine). Appeal · Brand Score · Desirability · Expectations · Feelings · Loyalty · Satisfaction · Sentiment · Usefulness. Do not invent or borrow attitudinal metric names from other frameworks — if the user's question doesn't match one of these nine, route to glare-ux-metrics or another type-level skill instead.

Core idea

Attitudinal metrics measure how users feel about an experience — trust, confidence, satisfaction, frustration, desirability, emotional response. Product teams often focus on clicks, completion, engagement, and conversion, but users can technically complete a workflow while still feeling confused, frustrated, unsure, or disconnected. Attitudinal metrics catch what is happening emotionally underneath the workflow. They are usually leading indicators — they reveal smaller emotional problems before larger business problems appear later. Trust may weaken before retention drops; confidence may fall before abandonment rises; frustration may grow before support tickets increase.

When attitudinal metrics matter most

Especially during onboarding, fintech workflows, healthcare experiences, AI-assisted systems, automation workflows, and enterprise software — environments where emotional confidence often matters as much as usability. A workflow may technically function correctly while users still hesitate to rely on it fully.

The nine attitudinal metrics (v1.32)

reference.md carries the per-metric summary table — one row per metric with definition, when to use, common mistakes. The nine metrics:

Appeal · Brand Score · Desirability · Expectations · Feeling · Loyalty · Satisfaction · Sentiment · Usefulness

Read the reference first

Installs
13
GitHub Stars
1
First Seen
May 12, 2026
glare-ux-metrics-attitudinal — zurb/glare-skills