IT & Software
Usability Test Plan
Design a Complete Usability Test Plan with this ChatGPT Prompt to Improve User Experience and Validate Design Decisions
What This Prompt Does
Creates a thorough usability test plan for a specific feature or product, targeting a defined user segment.
Outlines test objectives, success metrics, participant profiles, task scenarios, and session formats.
Includes detailed instructions for test setup, equipment, recording, and feedback collection.
Addresses both standard and edge-case user scenarios, while preparing teams to capture actionable usability insights and handle unexpected issues.
Tips
- Be specific with the product or feature you’re testing—narrow scope helps produce sharper task flows.
- Define clear goals and KPIs (e.g., task success rate, time-on-task, error rate, qualitative satisfaction).
- Consider user states like first-time use, returning users, or accessibility-specific conditions.
- Choose task scenarios that reflect real-world use cases—not abstract or overly technical actions.
- Use the results to inform UI/UX improvements, redesign decisions, and product strategy.
- Document everything: testing script, session flow, and even contingency plans for tech failures or no-shows.
Prompt
Create a comprehensive usability test plan for [feature/product] targeting [user type]. Include: test objectives, success metrics, participant criteria, task scenarios, and session structure. Detail the testing environment setup, required equipment, and recording methods. Specify how to handle [specific user scenarios] and measure [key metrics]. Include protocols for gathering feedback on [specific aspects] and methods for analyzing [type of data]. Add contingency plans for [potential issues].
How To Use The Prompt
Fill in the placeholders [FEATURE/PRODUCT], [USER TYPE], [SPECIFIC USER SCENARIOS], [KEY METRICS], [SPECIFIC ASPECTS], [TYPE OF DATA], and [POTENTIAL ISSUES] with relevant and detailed information about your test plan.
Example:
"Create a comprehensive usability test plan for the onboarding flow of our mobile banking app targeting first-time users aged 25–40. Include: test objectives, success metrics, participant criteria, task scenarios, and session structure. Detail the testing environment setup, required equipment, and recording methods. Specify how to handle scenarios like app crashes, users abandoning sign-up, and account lockout. Measure metrics like task success rate, user satisfaction score, and time-on-task. Include protocols for gathering feedback on clarity of UI copy and methods for analyzing session recordings and survey data. Add contingency plans for poor internet connection or unresponsive devices."
Example Input
#INFORMATION ABOUT MY PRODUCT:
Feature/Product: AI-powered scheduling assistant
User type: Busy entrepreneurs and small business owners
Specific user scenarios: Calendar sync errors, time zone mismatches, rescheduling conflicts
Key metrics: Task completion rate, error frequency, user satisfaction rating
Specific aspects: Clarity of scheduling options, usability of time picker, integration with external calendars
Type of data: Screen recordings, post-task survey responses, observer notes
Potential issues: Device incompatibility, participant no-shows, test script deviation
Example Output
Test Objectives:
- Assess how easily users can schedule, reschedule, and cancel events using the assistant.
- Identify any confusion around time zone detection and calendar syncing.
- Evaluate perceived ease-of-use and clarity of the interface.
Success Metrics:
- 85% task completion rate without moderator assistance
- Average user satisfaction score of 4/5
- Time-on-task under 3 minutes for core scheduling flow
- No more than 1 critical usability issue per session
Participant Criteria:
- Age 25–55
- Self-employed or small business owner
- Owns a smartphone and actively uses at least one digital calendar tool (e.g., Google Calendar, Outlook)
- Mix of iOS and Android users
Task Scenarios:
- Connect your Google Calendar and schedule a 30-minute meeting with a client in another time zone.
- Reschedule the meeting for tomorrow and update the duration to 60 minutes.
- Cancel the event and verify the calendar updates across platforms.
- Add a recurring meeting every Monday at 9am.
Session Structure:
- Introduction (5 minutes): Welcome, consent form, test purpose
- Warm-up (5 minutes): Background questions on scheduling habits
- Task Walkthrough (30–40 minutes): Users perform tasks unaided
- Debrief & Feedback (10 minutes): Open discussion + survey
Testing Environment Setup:
- Remote via Zoom + screen sharing
- Moderator script + time-tracking sheet
- Backup recording via Loom or OBS
- Screen recorder and note-taker in each session
Handling Edge Scenarios:
- App crashes: Restart app and resume test; note incident for review
- Calendar integration failure: Mark as test blocker and skip task
- Abandoned task: Ask follow-up to understand cause (confusion, friction, lack of trust?)
Feedback Protocols:
- Post-task rating: “How confident were you in completing this task?” (1–5 scale)
- Targeted questions on UI clarity, labeling, and satisfaction
- Use post-test form with open-ended Qs like: “What would you change?”
Data Analysis Methods:
- Quantitative: Time-on-task, completion rates, user ratings
- Qualitative: Thematic coding from observer notes and transcripts
- Session replays used to identify usability friction points
Contingency Plans:
- Participant no-show: Have backup participants on standby
- Device issues: Offer alternative browser/app version
- Internet issues: Switch to audio-only protocol or reschedule
- Script deviation: Realign using task prompts; skip only if absolutely necessary
Additional Information
This mega-prompt is a vital tool for UX researchers, product teams, and usability analysts. Whether you’re launching a new feature or refining an MVP, this prompt helps generate structured, outcome-driven testing plans that yield clear insights.
- Use it to align stakeholders before launching tests.
- Export results into usability reports, UX documentation, or Jira tickets.
- Pair with journey maps, wireframes, and personas to validate end-to-end flows.
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