esearch ownership is shifting as AI tools democratize user research capabilities. Product teams can now conduct more research faster, but must understand when AI-powered tools enhance research quality versus when they introduce bias or miss critical nuance.
This program will cover:
Persona creation using AI segmentation and behavioral data analysis
Writing effective interview guides and using AI for question optimization
Conducting customer interviews with AI-powered transcription and tagging
Recording raw data with AI tools and maintaining research integrity
Synthesizing insights using AI pattern recognition while applying critical thinking
Field research techniques with real-time AI data capture
Creating impactful reports that combine AI-generated insights with strategic interpretation
Quantitative data collection tools, and how to build AI agents that can speed up quantitative insights
Outcomes:
PMs will leverage AI tools to identify relevant customer segments faster and more accurately
Product teams will understand how AI-enhanced personas drive more targeted research
PMs will confidently implement interviews using AI transcription while avoiding AI-introduced bias
Product teams will use AI for initial synthesis, then collaboratively apply judgment to distill strategic patterns
PMs will understand when field observation beats AI analysis for uncovering innovation opportunities
PMs will craft reports that demonstrate both AI-enabled speed and human strategic insight