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usability-tester可用性测试员

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:usability-tester(可用性测试员)
来源仓库:https://github.com/daffy0208/ai-dev-standards
仓库路径:skills/usability-tester
安装命令:
npx skills add https://github.com/daffy0208/ai-dev-standards --skill usability-tester
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/daffy0208/ai-dev-standards --skill usability-tester

简介

usability-tester 提供系统化可用性测试设计与执行指导。

  • 支持角色定义、任务场景构建与问题严重度评级功能。
  • 通过 github 安装后可用于产品发布前的用户体验验证。
  • 需确认是否要求提供原型图或交互流程图作为输入。usability-tester 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议核实其是否包含远程测试工具集成与数据收集方案。

SKILL.md

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

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 john@example.com 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

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

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

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

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

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

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)

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)

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

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):

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

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
      impact: 1
      frequency: 2
      affected_users: 2/8
      recommendation: "Change 'Export' to 'Export to CSV'"

  sus_score: 72 (Good)

  key_insights:
    - 'Onboarding is smooth (87.5% success)'
    - 'Team collaboration features hard to discover'
    - 'Overall product easy to use once features are found'

  recommended_actions:
    1. "High priority: Redesign invite flow"
    2. "Medium priority: Add contextual help for workspace vs project"
    3. "Low priority: Update button labels"

Remote vs In-Person Testing

Remote Testing (Moderated)

Tools: Zoom, Google Meet, UserTesting.com

Pros:
  - Can test with users anywhere
  - Lower cost (no travel)
  - Easier to recruit
  - Record sessions easily

Cons:
  - Can't see body language as well
  - Technical issues possible
  - Harder to build rapport
  - Screen sharing can lag

Best Practices:
  - Test your setup beforehand
  - Have backup communication method
  - Ask user to share screen + turn on camera
  - Record session (with permission)

In-Person Testing

Pros:
  - See full body language
  - Better rapport
  - No technical issues
  - Can see facial expressions

Cons:
  - Limited geographic reach
  - Higher cost
  - Harder to schedule
  - Need physical space

Best Practices:
  - Set up quiet room
  - Have snacks/water
  - Use screen recording software
  - Position yourself behind/beside user

Test Frequency

When to Test:
  - Pre-launch: Test prototypes/designs
  - Post-launch: Test new features
  - Ongoing: Test every major release
  - Quarterly: Full usability audit

Continuous Testing:
  - Week 1: Test with 5 users
  - Week 2: Fix issues
  - Week 3: Test with 5 new users
  - Repeat until success rate ≥80%

Tools & Software

Remote Testing:
  - UserTesting.com (recruit + test)
  - UserZoom (enterprise solution)
  - Lookback (live testing)
  - Maze (unmoderated testing)

Recording:
  - Zoom (screen + audio)
  - Loom (quick recordings)
  - OBS (advanced recording)

Analysis:
  - Dovetail (organize insights)
  - Notion (collaborative notes)
  - Miro (affinity mapping)
  - Excel/Sheets (metrics tracking)

Quick Start Checklist

Planning Phase

  • Define test objectives
  • Write 3-5 task scenarios
  • Recruit 5-8 participants
  • Prepare test script
  • Set up recording

Testing Phase

  • Welcome participant
  • Explain think-aloud protocol
  • Conduct tasks (don't help!)
  • Ask follow-up questions
  • Administer SUS survey
  • Thank participant

Analysis Phase

  • Calculate success rates
  • Identify common issues
  • Rate issue severity
  • Create report
  • Share with team
  • Prioritize fixes

Common Pitfalls

Testing with employees: They know the product too well ❌ Helping users during tasks: Let them struggle to find real issues ❌ Only testing happy path: Test error cases and edge cases too ❌ Not enough participants: 5 minimum per persona ❌ Ignoring low-severity issues: They add up to poor experience ❌ Testing but not fixing: Usability tests are worthless if you don't act

Summary

Great usability testing:

  • ✅ Test with 5-8 users per persona
  • ✅ Use realistic task scenarios (not step-by-step)
  • ✅ Think-aloud protocol (understand mental models)
  • ✅ Don't help users during tasks
  • ✅ Track success rate, time, errors, satisfaction
  • ✅ Rate issues by severity (impact × frequency)
  • ✅ Fix high-priority issues before release
  • ✅ Test continuously, not just once

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

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Cursor

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