AI-Powered User Interviews
Capture authentic feedback, organize interview data effortlessly, and elevate your user research with ClickUp Brain.

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AI in User Research
Gathering genuine user insights goes beyond just asking questions—it’s about capturing, analyzing, and acting on feedback effectively.
From crafting interview guides to synthesizing responses and prioritizing findings, user interview processes involve numerous steps—and countless notes, recordings, and follow-ups. That’s why AI prompts are becoming indispensable.
Research teams now leverage AI to:
Integrated within familiar tools—such as documents, whiteboards, and project trackers—AI evolves from a simple helper into a productivity partner. In solutions like ClickUp Brain, it seamlessly converts qualitative data into clear, prioritized tasks ready for your team to act on.
ClickUp Brain Compared to Conventional AI
ClickUp Brain integrates seamlessly, understands your context, and acts instantly—so you focus on interviewing, not explaining.
User Interview AI Prompts
Enhance your user research—planning, analysis, and insights simplified.
Identify 5 key pain points from recent user interviews about our mobile app, based on the ‘User Feedback Q2’ document.
Use Case: Accelerates understanding of user challenges by summarizing feedback.
ClickUp Brain Behaviour: Extracts and condenses user comments and themes from linked interview notes to highlight main issues.
What are the top usability concerns voiced by users aged 18-25 in our latest interview batch?
Use Case: Supports targeted improvements for younger demographics.
ClickUp Brain Behaviour: Analyzes interview transcripts and identifies recurring usability topics within the specified age group.
Draft a user persona summary for frequent app users, referencing ‘User Profiles’ and interview insights.
Use Case: Aligns product and design teams on core user characteristics.
ClickUp Brain Behaviour: Pulls relevant details from linked documents to create a concise, structured persona overview.
Summarize comparative feedback on feature A vs feature B from the ‘Feature Comparison Interviews’ folder.
Use Case: Facilitates decision-making by highlighting user preferences.
ClickUp Brain Behaviour: Extracts and contrasts user opinions from interview data to produce a clear comparison.
List common emotional responses users express during onboarding, based on recent interview transcripts.
Use Case: Helps improve onboarding experience by understanding user feelings.
ClickUp Brain Behaviour: Identifies and categorizes emotional cues and sentiments from linked interview notes.
From the ‘Usability Testing Results’ doc, generate a checklist of critical issues to address before next release.
Use Case: Streamlines prioritization of fixes based on user feedback.
ClickUp Brain Behaviour: Extracts problem points and formats them into an actionable task list.
Summarize 3 emerging user needs identified in interviews conducted post-launch.
Use Case: Keeps product development aligned with evolving user expectations.
ClickUp Brain Behaviour: Detects patterns and new requests from recent interview data.
From the ‘Customer Journey Interviews’ doc, highlight moments of delight and frustration.
Use Case: Informs UX improvements by pinpointing emotional highs and lows.
ClickUp Brain Behaviour: Extracts and organizes key emotional touchpoints from interview transcripts.
Write concise, empathetic follow-up email templates for interview participants, using tone guidelines from ‘CommunicationStyle.pdf’.
Use Case: Speeds up personalized outreach while maintaining brand voice.
ClickUp Brain Behaviour: References tone guide to craft varied email drafts suitable for different interview contexts.
Summarize regulatory concerns users mention related to data privacy from recent interviews.
Use Case: Ensures product compliance by understanding user privacy expectations.
ClickUp Brain Behaviour: Extracts and summarizes privacy-related feedback from linked interview notes.
Generate a checklist of accessibility issues raised during user interviews with differently-abled participants.
Use Case: Guides inclusive design improvements based on real user input.
ClickUp Brain Behaviour: Identifies accessibility challenges and formats them into a clear action list.
Create a summary comparing user satisfaction levels across three recent product versions, based on interview data.
Use Case: Supports product iteration by tracking user sentiment over time.
ClickUp Brain Behaviour: Synthesizes satisfaction metrics and qualitative feedback into a concise report.
What are the most requested features from enterprise users in the latest interview set?
Use Case: Prioritizes development efforts to meet business client needs.
ClickUp Brain Behaviour: Extracts and ranks feature requests from linked enterprise interview transcripts.
Summarize key communication preferences expressed by users during interviews in the APAC region.
Use Case: Tailors messaging strategies to regional user expectations.
ClickUp Brain Behaviour: Analyzes interview data to identify preferred channels and tones.
Highlight recurring usability issues from interviews with beta testers, focusing on navigation and task flow.
Use Case: Improves beta product by addressing common user obstacles.
ClickUp Brain Behaviour: Extracts and prioritizes navigation-related feedback into a structured summary.
Cut down redundant tasks, unify your team’s insights, and craft sharper interview strategies powered by AI-driven workflows.






AI Applications
Enhance interview quality, uncover deeper insights, and streamline analysis using AI-powered prompts with ClickUp Brain
Gathering user feedback usually starts with fragmented observations and scattered comments. ClickUp Brain organizes these into clear, actionable interview summaries—right inside ClickUp Docs.
Leverage ClickUp Brain to:

Gathering rich user feedback often means sifting through lengthy interview notes and recordings. ClickUp Brain transforms this process by pinpointing key takeaways, highlighting user pain points, and crafting clear next steps from your conversations.
Leverage ClickUp Brain to:

Conducting user interviews for product feedback involves managing recordings, notes, and follow-ups. ClickUp Brain simplifies this by extracting key points and crafting clear summaries that align with your team's voice.
Leverage ClickUp Brain to:

AI Advantages
Integrating AI-driven prompts transforms your user interview workflow:
Everything flows naturally within ClickUp, turning AI outputs into organized docs, actionable tasks, and insightful dashboards that drive your projects forward.
Interview Insights
Clear prompts unlock deeper understanding.
Vague prompts produce broad answers. Specify details like user segment (e.g., “remote workers” or “first-time homebuyers”), interview goals (e.g., “understand pain points in task management” or “explore feature preferences”), or context (e.g., “during onboarding” or “post-purchase feedback”).
Example: “Outline questions to uncover challenges faced by freelance designers using project management tools.”
AI excels at contrasting options to highlight user priorities. Frame prompts as comparisons to evaluate feature sets, user reactions, or competitor offerings.
Example: “Compare user satisfaction between ClickUp and Asana for task collaboration.”
Treat your prompt as a mission to gather actionable insights. Instead of generic queries, focus on what you want to learn:
Example: “Develop interview questions that identify barriers to adopting new productivity software among small business owners.”
Need a question list, thematic categories, or summary points? Clearly state the format to get organized results.
Example: “Provide 7 open-ended interview questions in a numbered list targeting user onboarding experiences.”
ClickUp Brain goes beyond basic task tracking—it's your strategic partner throughout the entire user interview process.





