Supra Insider

#72: How to scale your team's intuition with AI-powered research | Aaron Cannon (Cofounder & CEO @ Outset)

Aug 25, 2025
Aaron Cannon, Cofounder and CEO of Outset, shares insights on the intersection of AI and customer research. He discusses the balance between human intuition and AI efficiency in product development. Aaron highlights the importance of framing the right questions to enhance research outcomes and the future of product management roles as AI takes on entry-level tasks. He emphasizes that while AI streamlines processes, human insight remains irreplaceable for creating exceptional products.
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INSIGHT

Solve The Depth vs Scale Trade-off

  • Research traditionally forces a trade-off between speed/scale and depth of insight.
  • Aaron says AI-moderated research aims to deliver both depth and scale simultaneously.
INSIGHT

Two Distinct Research Modes

  • There are two research modes: improvisational, human-led discovery and repeatable, scripted studies.
  • Aaron argues humans are best at improvisation while AI excels at repeatable deep probing.
ADVICE

Constrain AI With Interview Guardrails

  • Constrain AI interviews with clear guardrails to prevent irrelevant tangents.
  • Specify lanes for probing so AI digs deep within intended topics without going off-road.
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