usability-tester
Conduct usability tests and identify UX issues through systematic observation. Use when testing user flows, validating designs, identifying friction points, or ensuring users can complete core tasks. Covers test planning, think-aloud protocol, task scenarios, and severity rating.
What this skill does
# 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 ```yaml 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 ```yaml 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: ```yaml 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 ```yaml Sample Size: - 5-8 users per persona - After 5 users, diminishing returns (Nielsen's research) - Test in waves: 5 users → fix issues → test 5 more Recruitment Criteria: - Match target persona - Haven't used product before (for onboarding tests) - Or: Active users (for feature tests) Incentives: - $50-100 per hour (B2C) - $100-200 per hour (B2B professionals) - Gift cards work well ``` ## Task Scenarios ### Best Practices ✅ **Good task scenario**: ``` "Your team is launching a new project next week. Create a project called 'Q2 Launch' and invite [email protected] to collaborate." ``` **Why it works**: - Realistic context - Clear goal - Natural language - Doesn't give step-by-step instructions ❌ **Bad task scenario**: ``` "Click the 'New Project' button, then enter 'Q2 Launch', then click Settings, then click Invite, then enter email." ``` **Why it fails**: - Step-by-step instructions - No context - Doesn't test discoverability - User just follows orders ### Task Scenario Template ```yaml Scenario: [Context/Motivation] Goal: [What they need to accomplish] Success Criteria: [How to know they completed it] Example: Scenario: You're preparing for a client meeting tomorrow and need to review past conversations. Goal: Find all conversations with "Acme Corp" from the last 30 days Success Criteria: User successfully uses search/filter to find conversations ``` ## Conducting Tests ### Think-Aloud Protocol **Key instruction to participant**: ``` "Please think aloud as you work. Tell me what you're looking for, what you're thinking, what you're trying to do. There are no wrong answers - we're testing the product, not you." ``` **What to listen for**: - "I'm looking for..." (what they expect) - "I thought this would..." (mental models) - "This is confusing because..." (friction points) - "I'm not sure if..." (uncertainty) ### Facilitation Rules ✅ **Do**: - Observe silently - Take notes - Let them struggle (reveals issues) - Ask follow-up questions AFTER task - Stay neutral ❌ **Don't**: - Help or explain - Lead them ("maybe try clicking...") - Defend design choices - Interrupt during task - Show frustration ### Questions to Ask After Each Task ```yaml Completion Questions: - 'On a scale of 1-5, how easy was that task?' - 'What were you expecting to see?' - 'What was confusing about that?' - 'If you could change one thing, what would it be?' Discovery Questions: - 'Where did you expect to find that?' - 'What do you think this [feature] does?' - 'Why did you click there?' ``` ## Metrics to Track ### Task Success Rate ```yaml Measurement: - Completed: User achieved goal without help - Partial: User achieved goal with hints - Failed: User could not complete task Calculation: Task Success Rate = (Completed Tasks / Total Attempts) × 100 Target: ≥80% for core tasks ``` ### Time on Task ```yaml Measurement: - Start timer when task begins - Stop when user completes or gives up Analysis: - Compare to baseline/previous tests - Identify outliers (very fast or very slow) Target: Varies by task complexity - Simple task (e.g., log in): <30 seconds - Medium task (e.g., create project): 1-2 minutes - Complex task (e.g., configure integration): 3-5 minutes ``` ### Error Rate ```yaml Errors: - Wrong path taken - Incorrect button clicked - Had to backtrack - Gave up and tried different approach Calculation: Errors per Task = Total Errors / Number of Users Target: <2 errors per task ``` ### Satisfaction Rating ```yaml Post-Task Question: "How satisfied are you with completing this task?" (1-5 scale) 1 = Very Dissatisfied 2 = Dissatisfied 3 = Neutral 4 = Satisfied 5 = Very Satisfied Target: ≥4.0 average ``` ## Issue Severity Rating ### Severity Formula ``` Severity = Impact × Frequency ``` ### Impact Scale (1-3) ```yaml 1 - Low Impact: - Minor inconvenience - User can easily recover - Cosmetic issue 2 - Medium Impact: - Causes delay or confusion - User eventually figures it out - Moderate frustration 3 - High Impact: - Blocks task completion - User cannot proceed without help - Critical to core functionality ``` ### Frequency Scale (1-3) ```yaml 1 - Rare: - Only 1-2 users encountered - Edge case - Specific conditions 2 - Occasional: - 3-5 users encountered - Somewhat common - Specific user types 3 - Frequent: - Most/all users encountered - Consistent issue - All user types ``` ### Combined Severity ```yaml Critical (8-9): - Impact: 3, Frequency: 3 - Blocks most users → Fix immediately before release High (6-7): - Impact: 3, Frequency: 2 OR Impact: 2, Frequency: 3 - Significant delay or frequent minor issue → Fix before release Medium (4-5): - Impact: 2, Frequency: 2 OR Impact: 3, Frequency: 1 - Minor frustration or rare blocker → Fix in next release Low (1-3): - Impact: 1, Frequency: 1-3 - Cosmetic or rare minor issue → Backlog ``` ## System Usability Scale (SUS) **10-question survey** (post-test, 1-5 Likert scale): ```yaml Questions (Odd = Positive, Even = Negative): 1. I think I would like to use this product frequently 2. I found the product unnecessarily complex 3. I thought the product was easy to use 4. I think I would need support to use this product 5. I found the various functions well integrated 6. I thought there was too much inconsistency 7. I imagine most people would learn this quickly 8. I found the product cumbersome to use 9. I felt very confident using the product 10. I needed to learn a lot before getting going Scoring: - Odd questions: Score - 1 - Even questions: 5 - Score - Sum all scores - Multiply by 2.5 - Result: 0-100 score Interpretation: ≥80: Excellent 68-79: Good (industry average) 51-67: OK <51: Needs significant improvement ``` ## Test Report Template ```yaml usability_test_summary: date: '2024-01-20' participants: 8 participant_profile: 'New users, age 25-45, tech-savvy' tasks: - task: 'Create a new project' success_rate: '87.5% (7/8)' avg_time: '1m 24s' errors: 1.2 per user satisfaction: 4.3/5 - task: 'Invite team member' success_rate: '62.5% (5/8)' avg_time: '2m 45s' errors: 2.8 per user satisfaction: 3.1/5 issues: - issue: "Users can't find 'Invite' button" severity: high impact: 3 frequency: 3 affected_users: 7/8 recommendation: "Move 'Invite' button to top of project page, make it more prominent" - issue: 'Confusion about project vs workspace' severity: medium impact: 2 frequency: 3 affected_users: 6/8 recommendation: 'Add tooltip explaining difference, update onboarding' - issue: 'Export button text unclear' severity: low i
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.