
Usability Tester
This is a systematic framework for running usability tests with real users watching them attempt core tasks. You get test planning templates, think-aloud protocol instructions, task scenario examples that avoid hand-holding, and a severity rating system based on impact times frequency. The approach is grounded in Nielsen's research about diminishing returns after five users. What I appreciate is the clarity on what makes a good versus bad task scenario. Writing "find all conversations with Acme Corp" tests discoverability, while "click Settings then click Invite" just makes people follow orders. Includes the full System Usability Scale questionnaire and a report template tracking success rates, time on task, and error counts.
- skills.sh installs
- 188
- GitHub stars
- 39
- last updated
- Aug 21, 2026
Install
$ npx -y skills add daffy0208/ai-dev-standards --skill usability-tester --agent claude-codeInstalls into .claude/skills of the current project.
Files
Usability Tester
Validate that users can successfully complete core tasks through systematic observation.
Core Principle
Watch users struggle. The best way to find UX issues is to observe real users attempting real tasks. Their struggles reveal truth that surveys and analytics cannot.
Test Planning
1. Define Test Objectives
Good Objectives:
- "Can users complete onboarding in <5 minutes?"
- "Can users find and use the export feature?"
- "Do users understand the pricing page?"
Bad Objectives:
- "Test the UI" (too vague)
- "See if users like it" (subjective, not behavioral)
2. Research Questions
Examples:
- Where do users get stuck during sign-up?
- Can users find the settings page?
- Do users understand what each tier includes?
- What errors do users encounter?
3. Identify Core Tasks
Choose 3-5 tasks that represent key user journeys:
Example Tasks (Project Management Tool): 1. Sign up and create account
2. Create your first project
3. Invite a team member
4. Assign a task to someone
5. Export project data
4. Recruit Participants
Sponsors
Details
- Repository
- github.com/daffy0208/ai-dev-standards
- Categories
- Testing & QA, AI & Agent Building, Productivity & Planning
- First seen
- Jun 3, 2026
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