Before AI, weak research often looked weak. Today, AI can make thin research look polished, credible, and complete. That creates a new risk: teams can move faster while becoming less connected to the evidence behind their decisions.
In this on-demand webinar, Daniela Governatori, Director of Research at Rakuten, shares a practical approach to using AI without outsourcing the thinking that makes research valuable. She explores where AI meaningfully speeds up the research process, where human judgment needs to stay firmly in the loop, and why some of the most important insights live in the contradictions, hesitation, and unexpected behavior that summaries flatten or miss.
What you'll take away
- Align on the decision before you start the research or bring in AI
- Think first, then use AI to pressure-test, organize, and expand your analysis
- Treat note-taking as a way to notice and capture signal, not as a performance
- Stay close to the evidence, especially when AI gives you a clean answer
- Own the conclusion. If you share the slop, the slop is yours
