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Behavioral pattern analysis

Users rarely do what they say they'll do. They claim to want advanced features but stick to basics. They request complex workflows but abandon anything with more than three steps. ChatGPT helps you spot these behavioral patterns hiding in your usage data and research notes.

Combine different data types for richer insights. Try prompting: "Here's usage data showing feature adoption rates and interview quotes about the same features. What patterns explain the disconnect?" ChatGPT might reveal that users love the idea of automation but fear losing control, explaining why your powerful automation features sit unused.

The analysis gets more valuable when you look across time. Feed ChatGPT data from different periods: "Compare user behavior patterns from onboarding week versus month three. What changes?" You'll discover insights like how power features become relevant only after users master basics, informing your progressive disclosure strategy.

Pro Tip: Ask ChatGPT to identify "say-do" gaps where user statements contradict their actions.

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