usability-psychologist

Name: usability-psychologist
Availability: InStock
Author: mae616

Identify usability frictions in UI flows and output testable hypotheses.

9|Updated Aug 20, 2025

Search Tags:#a11y #usability #ux #hypotheses #cognitive-load #ui-review

Ready to run

npx skills add https://github.com/mae616/ai-template --skill usability-psychologist

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: usability-psychologist
Source: https://github.com/mae616/ai-template/tree/main/.claude/skills/usability-psychologist
Command: npx skills add https://github.com/mae616/ai-template --skill usability-psychologist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams identify usability frictions in UI/flows and translate them into testable hypotheses to guide design decisions.

Core Features & Use Cases

Evaluate cognitive load, error potential, learning cost, and accessibility during UI reviews, onboarding flows, forms, and settings screens.
Produce structured outputs: observations, hypotheses, recommended improvements, and acceptance criteria.
Integrate with UX processes; suitable for design reviews, usability testing prep, and accessibility audits.
Example: identify where onboarding form steps confuse users and propose testable changes such as simplified labels or reduced steps.

Quick Start

Provide a description or wireframe of the UI screen and the goal you want to achieve.
Ask the AI to perform a Usability Psychologist evaluation and output a problem summary, root-cause hypotheses, prioritized improvements, and an a11y checklist.
Review the results and implement the recommended changes, then re-evaluate.

Frequently Asked Questions about usability-psychologist

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

FAQPage Schema

How do I identify usability issues in a UI flow and turn them into testable hypotheses?▼

To identify usability issues, you evaluate cognitive load and error potential in a UI flow to produce structured problem statements and root-cause hypotheses. This translates design frictions into testable hypotheses with prioritized improvements and validation criteria.

Can I use UX usability evaluation for onboarding forms and settings screens?▼

Yes, UX usability evaluation works for onboarding forms and settings screens. It evaluates learning cost and accessibility to output problem summaries, recommended improvements, and an a11y checklist to simplify labels or reduce confusing steps.

What is the best way to conduct an accessibility audit during a UI review?▼

The best way to conduct an accessibility audit during a UI review is to evaluate the interface against a11y standards and cognitive load. This generates an a11y checklist alongside prioritized improvements and acceptance criteria to guide design changes.

How do I prepare for usability testing with a wireframe description?▼

To prepare for usability testing, you provide a wireframe description and goal to generate a usability evaluation. This produces structured observations, root-cause hypotheses, and acceptance criteria to validate recommended design changes before implementation.

Does cognitive load evaluation work for both web and mobile interfaces?▼

Cognitive load evaluation works for both web and mobile interfaces. It assesses error potential and learning cost across UI reviews and onboarding flows to deliver structured problem statements and accessibility considerations for either platform.

Why does my onboarding flow confuse users and how do I fix it?▼

Your onboarding flow confuses users due to high cognitive load and unclear labels. You fix it by generating root-cause hypotheses and prioritized improvements with validation criteria, such as simplifying labels or reducing form steps.