Use AI to speed up research, analyze data faster, and improve decision-making. But remember—AI is here to assist, not replace critical thinking.
This library is designed to help you make the most of AI while keeping human expertise at the center.
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How to use this?
📌 What's inside?
“What should I focus on? How do I frame my research goals?”
| AI Prompt | Follow-up Prompts | Verdict |
|---|---|---|
| "Define 5 research objectives for evaluating [feature/product]" | "Can you make them more specific?" | |
| "Which one of these is easiest to measure?" | ✅ AI provides structured goals but may be broad | |
| "Suggest the best research method for [feature]—usability testing, surveys, or interviews?" | "What’s the best approach if I have a short timeline?" | |
| "What if my budget is super tight?" | ✅ AI lists methods but lacks feasibility checks | |
| "Turn these user complaints [paste feedback] into research questions" | "Can you rephrase them so they don’t sound biased?" | |
| "Which of these would work well in a survey?" | ✅ AI helps reframe but still needs refining | |
| "Generate hypotheses on why users drop off at [step in journey]" | "Can you prioritize these based on impact?" | |
| "How would I validate this with real data?" | ✅ AI generates hypotheses but lacks nuance | |
| "Summarize key industry trends in UX research" | "Which of these are actually gaining traction?" | |
| "Can you make this sound less generic?" | ✅ AI gives broad insights but lacks depth | |
| "Generate 5 potential A/B test ideas for [feature]" | "Which of these would have the biggest impact?" | |
| "How would I measure success?" | ✅ AI suggests test cases but lacks real-world prioritization | |
| "Create a roadmap for a 10-day UX research sprint" | "Can you make it work for a 5-day sprint instead?" | |
| "What are the most critical steps?" | ✅ AI drafts timelines well, but lacks context | |
| "Suggest ways to make remote UX research more effective" | "What are the top tools for this?" | |
| "How do I keep participants engaged?" | ✅ AI provides good remote research tips |
Pro Tips:
Extra Resources: 10-day UX research timeline template
“Who should I recruit? How do I find the right users?”
| AI Prompt | Follow-up Prompts | Verdict |
|---|---|---|
| "Create a screening survey to recruit participants for [usability test]" | "Make sure it’s neutral" | |
| "Ensure diversity in selection" | ✅ AI writes a solid draft but needs bias checks | |
| "Write a recruitment email that sounds human and compelling" | "Make it less formal" | |
| "Give a clear reason to join" | ✅ AI drafts an email but often sounds generic | |
| "Segment users based on behavior for [test type]" | "Identify power users separately." | |
| "Include hesitant users for contrast." | ✅ AI suggests segments but lacks emotional nuance | |
| "Suggest ways to recruit niche participants for [specific study]" | "Focus on offline and unconventional sources" | ✅ AI offers common ideas but lacks creativity |
| "Write a follow-up email for confirmed participants" | "Make it warm and engaging" | ✅ AI creates a good structure but might lack personalization |
| "What are 5 common mistakes in participant recruitment?" | "Give solutions for each mistake" | ✅ AI highlights typical errors but needs deeper analysis |
| "List incentives that work best for UX research participants" | "Differentiate based on B2B vs B2C users" | ✅ AI suggests typical incentives but may lack motivation analysis |
| "What’s the best sample size for usability testing?" | "Explain trade-offs of smaller vs. larger sample sizes" | ✅ AI gives a standard answer but lacks research context |