usability-tester

name	usability-tester
description	Conduct usability tests and identify UX issues through systematic observation. Use when testing user flows, validating designs, identifying friction points, running heuristic evaluations, or ensuring users can complete core tasks. Use for test planning, think-aloud protocol, task scenarios, severity rating, accessibility evaluation.
license	MIT
metadata	{"author":"oakoss","version":"1.0"}

Usability Tester

Overview

Validates that users can successfully complete core tasks through systematic observation and expert evaluation. Covers moderated and unmoderated testing, heuristic evaluation, accessibility checks, and issue severity scoring. Not a substitute for analytics or A/B testing -- those measure what happens, usability testing reveals why.

When to use: Testing user flows, validating designs, identifying friction points, running heuristic evaluations, ensuring users can complete core tasks, planning and executing usability test sessions.

When NOT to use: Analytics or A/B test setup, visual design critique without task-based evaluation, automated UI testing (use a testing framework), performance benchmarking.

Quick Reference

Method	Best For	Participants	When to Use
Moderated testing	Deep insights, complex flows	5-8 per persona	Design and prototyping stage
Unmoderated testing	Scale, quantitative data	20-50+	Pre-launch and post-launch
Guerrilla testing	Quick validation, early concepts	5-10 random	Early concept stage
First-click testing	Navigation, information architecture	20-50	Any stage, especially IA redesigns
Heuristic evaluation	Expert review against principles	3-5 evaluators	Before user testing, design audits
Cognitive walkthrough	Task flow analysis	2-3 evaluators	Early design, new feature review
Accessibility audit	Inclusive design validation	3-5 users with disabilities	Pre-launch, compliance reviews
Synthetic user testing	Scalable task validation with AI agents	N/A (automated)	Continuous, regression testing
AI-moderated sessions	Async moderated testing at scale	10-50+	When moderator availability is limited

Core Metrics

Metric	Target	What It Measures
Task success rate	80% or higher for core tasks	Can users complete the task
Time on task	Simple under 30s, medium 1-2m, complex 3-5m	Efficiency
Error rate	Fewer than 2 per task	Learnability and clarity
Post-task satisfaction	4.0 or higher on 5-point scale	Subjective ease
SUS score	68+ (industry average), 80+ (excellent)	Overall usability

Issue Severity

Severity equals Impact (1-3) multiplied by Frequency (1-3). Critical (8-9): fix before release. High (6-7): fix before release. Medium (4-5): next release. Low (1-3): backlog.

Common Mistakes

Mistake	Correct Pattern
Writing task scenarios with product jargon or step-by-step instructions	Use natural language with realistic context and clear goals to test discoverability
Helping users or explaining the UI during test sessions	Observe silently and let users struggle; confusion reveals real issues
Testing only the happy path with ideal inputs	Include error states, edge cases, and recovery scenarios in test plans
Using fewer than 5 participants per persona	Recruit 5-8 users per persona; after 5, diminishing returns per Nielsen research
Collecting findings without severity scoring or follow-up actions	Score every issue by impact times frequency and assign fix priority
Skipping heuristic evaluation before user testing	Run expert review first to catch obvious issues cheaply before spending on recruitment
Ignoring accessibility in test planning	Include participants with disabilities and test with assistive technologies
Running only one round of testing	Test in waves: 5 users, fix issues, test 5 more until success rate meets targets

Delegation

• Test plan and scenario creation: Use Task agent to draft objectives, research questions, and realistic task scenarios for each persona
• Heuristic evaluation: Use Task agent to walk through interfaces against Nielsen's 10 heuristics and document violations with severity ratings
• Metrics analysis and severity scoring: Use Task agent to calculate SUS scores, task success rates, and severity ratings from raw test data
• Test report generation: Use Task agent to compile findings into structured reports with prioritized recommendations
• Test infrastructure planning: Use Plan agent to select testing methods, define recruitment criteria, and schedule test waves

If the quality-auditor skill is available, delegate full codebase quality audits and scoring to it. Otherwise, recommend: pnpm dlx skills add oakoss/agent-skills -s quality-auditor -a claude-code -y

References

• Test Planning -- objectives, research questions, recruitment, task scenario templates, screening criteria
• Conducting Tests -- think-aloud protocol, facilitation rules, post-task questions, session structure
• Testing Methods -- unmoderated, guerrilla, first-click, cognitive walkthrough, method selection by lifecycle stage
• Heuristic Evaluation -- Nielsen's 10 heuristics, evaluation process, severity rating, combining with user testing
• Metrics and Severity -- success rate, time on task, errors, satisfaction, SUS scoring, severity formula
• Reporting -- test report template, key insights format, stakeholder presentation, recommended actions
• Accessibility Testing -- inclusive recruitment, assistive technology testing, WCAG alignment, accessibility heuristics
• Remote and Tools -- remote vs in-person comparison, testing tools, test frequency, checklists