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Surface patterns that human analysts typically miss.
"Analyze this [research type] from a [UX/Service/Visual/Content/Research] perspective. What patterns, edge cases, or unspoken needs might a human analyst miss? What questions should we be asking that we haven't?"
Go beyond what users say to what they feel.
"Analyze the emotional journey in this customer data. Map the emotional highs and lows. Where is there anxiety, frustration, delight, or confusion? What emotions are present but not explicitly stated?"
Take the same customer research artifact. Spend 4 minutes analyzing it manually — identify top 3 pain points and 2 opportunities. Then spend 4 minutes using AI prompts. Compare: What did AI surface that you didn't? What did YOU catch that AI missed?
Create rich personas from raw research data.
"Based on this [interview transcript/survey data/support tickets], create 3 distinct user personas. For each, include: demographics, goals, frustrations, unspoken needs, and a direct quote that captures their essence."
Find where users say one thing but mean another.
"Review this research data and identify contradictions — places where what users say doesn't match what they do, or where different users have conflicting needs. What design tensions does this reveal?"
Exchange your research artifact with another team. You have 3 minutes to analyze THEIR data using AI. Fresh eyes + AI = unexpected insights. Report back what you found.
Find the users everyone else forgets about.
"Based on this research, who are the edge-case users we might be overlooking? Consider: accessibility needs, cultural differences, technical literacy levels, emotional states, and situational contexts that could change the experience."
AI can process 100 interview transcripts in minutes. But it takes a human to notice that the participant's voice cracked when talking about their mother. Use AI for volume. Use yourself for depth.
Transform raw data into a structured journey map.
"From this customer data, create a detailed journey map with these stages: Awareness, Consideration, Decision, Onboarding, Usage, Advocacy. For each stage, identify: actions, thoughts, emotions, pain points, and opportunities."
Your team has 3 different research artifacts. Use AI to find the common themes across ALL of them. Create a single "insight statement" that captures the most important finding. Present it in one sentence.
Expose the hidden assumptions in your research.
"Review this research methodology and findings. What assumptions are baked into how this research was conducted? What biases might be present in the questions asked? What populations or perspectives are missing?"
Set a timer for 60 seconds. Each team member writes ONE insight from the research on a sticky note. No AI allowed. Then use AI to generate 10 more insights in 60 seconds. Which set is more surprising?