Top AI Prompts for UX Research with ClickUp Brain

Identify 5 emerging user behavior patterns from the ‘Mobile App Usage Q1 2025’ report.

Use Case: Speeds up discovery of key trends from large datasets.

ClickUp Brain Behaviour: Analyzes linked documents to extract and summarize dominant user behaviors.

What are the top usability challenges reported in recent remote user testing sessions for our new web platform?

Use Case: Supports targeted design improvements based on real user feedback.

ClickUp Brain Behaviour: Synthesizes feedback from testing notes and session transcripts to highlight critical pain points.

Draft a research summary outlining key findings on accessibility issues from the ‘Inclusive Design Study’ and related interview transcripts.

Use Case: Aligns stakeholders on accessibility priorities with a clear, concise report.

ClickUp Brain Behaviour: Extracts relevant insights and compiles a structured summary from linked research materials.

Compare user satisfaction metrics between Version 1 and Version 2 of the onboarding flow using our ‘User Feedback Q2’ dataset.

Use Case: Enables data-driven decisions by summarizing comparative results.

ClickUp Brain Behaviour: Processes quantitative and qualitative data to generate a clear comparison report.

List common themes in user comments regarding mobile navigation from recent surveys and support tickets.

Use Case: Identifies frequent navigation pain points for focused UX enhancements.

ClickUp Brain Behavior: Scans multiple documents to extract and categorize recurring user concerns.

From the ‘Prototype Testing Results’ doc, create a checklist of usability issues to address before next iteration.

Use Case: Streamlines action planning by converting findings into a task list.

ClickUp Brain Behavior: Detects reported problems and formats them into an organized checklist within a task or document.

Summarize 3 emerging trends in voice interface usability from recent user interviews and tech reviews.

Use Case: Keeps design teams informed on evolving interaction patterns.

ClickUp Brain Behavior: Extracts and highlights key observations from linked qualitative data.

From the ‘Gen Z User Preferences’ report, summarize key expectations for social media app features.

Use Case: Helps product teams tailor features to younger audience needs.

ClickUp Brain Behavior: Analyzes survey data to identify common desires and usage patterns.

Write clear, engaging UX microcopy for the app’s error messages using tone guidelines from ‘BrandVoice.pdf’.

Use Case: Accelerates content creation while maintaining brand consistency.

ClickUp Brain Behavior: References tone documents to suggest variations for user interface text.

Summarize recent changes in GDPR regulations affecting user data collection and how they impact our research protocols.

Use Case: Ensures compliance by informing research teams of legal updates.

ClickUp Brain Behavior: Synthesizes compliance documents and highlights relevant adjustments.

Generate guidelines for anonymizing user data in research reports, referencing internal privacy policies.

Use Case: Supports ethical data handling and reporting standards.

ClickUp Brain Behavior: Extracts key policy points to create a clear, actionable checklist.

Create a usability test plan checklist based on best practices from ‘UX Testing Handbook’ and recent project notes.

Use Case: Helps teams prepare thorough, standardized testing sessions.

ClickUp Brain Behavior: Compiles criteria and steps into a structured checklist format.

Compare accessibility features across competitor apps using our recent market analysis documents.

Use Case: Informs feature prioritization through competitive benchmarking.

ClickUp Brain Behavior: Summarizes documented comparisons into an easy-to-read format (table or brief).

What UX research methods have proven most effective for remote user studies since 2023?

Use Case: Guides methodology selection based on recent evidence.

ClickUp Brain Behavior: Synthesizes insights from internal reports, case studies, and expert notes.

Summarize key usability issues reported by Southeast Asia users from feedback forms and support tickets.

Use Case: Drives region-specific UX improvements based on authentic user voices.

ClickUp Brain Behavior: Extracts and prioritizes recurring problems from multiple feedback sources.

Define the user experience scenario clearly

Vague prompts yield broad results. Specify details like user type (e.g., “remote workers” or “elderly users”), research focus (e.g., “navigation efficiency” or “accessibility”), or product context (e.g., “mobile app” or “web dashboard”).

Example: “Propose usability testing tasks for a fitness app aimed at beginners aged 25-40.”

Use comparative prompts to uncover differences

AI excels at distinguishing nuances between options. Frame prompts as “compare X and Y” to evaluate interface designs, feature sets, or user feedback.

Example: “Compare onboarding flows of two budgeting apps targeting millennials.”

Approach prompts as research objectives

Treat your prompt as a specific research goal. Instead of “Generate survey questions,” focus on the outcome:

Example: “Develop interview questions to explore pain points in online grocery shopping for seniors.”

Specify desired output formats

Need a user journey map, affinity diagram, or prioritized feature list? Indicate the format. AI delivers clearer results when output expectations are set.

Example: “Provide a bullet list of key usability issues found in a prototype testing session.”