<ul data-eligibleForWebStory="true"><li>User research is essential in product development to uncover unmet needs and validate hypotheses.</li><li>Teams sometimes overuse user research due to misapplication rather than research methods failure.</li><li>The root issue may lie in a poorly defined problem statement, internal biases, or unclear business objectives.</li><li>Before diving into interviews and studies, it's crucial to ensure the right problem is being solved, which AI can aid in reframing.</li><li>AI can analyze unstructured feedback data like support tickets, reviews, and NPS responses to identify recurring themes and reduce the need for new research.</li><li>Using AI to simulate scenarios tests the validity of assumptions, fostering a feedback loop for better discovery outcomes.</li><li>AI can trace the logic behind past decisions, revealing embedded assumptions and mistakes for internal clarity before external research.</li></ul>

AI Insights Series #6: Using AI to Rethink User Research

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