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How will AI reshape user research and product analytics?

In this interview, we go beyond traditional methods like session replay and usability testing to explore the future of product decision-making powered by AI.

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Here’s what we cover:

-Why chasing more data isn’t always better

-The power of small samples for big insights

-Combining session replay & usability testing for a complete view

-Confidence intervals: when data helps and when it paralyzes teams

-The role of AI in scaling analytics, predicting user behavior, and even measuring emotional responses

-Ethical challenges of using AI in product research

👉 Whether you’re a UX researcher, product manager, or SaaS leader, this conversation will help you understand where user research is heading in the age of AI.

00:00 → Why More Data ≠ Better Insights in User Research

00:32 → Smarter Product Decisions that Work in the Real World

01:31 → Meet Alessio: UX & Product Analytics Expert

03:01 → Session Replay vs Usability Testing Explained

05:37 → Combining Research Methods for a Fuller Picture

07:26 → Data-Driven vs Data-Informed: Avoiding Paralysis

09:12 → The False Sense of Objectivity in Metrics

12:37 → Measuring the Emotional Side of UX

15:32 → Psychometrics & User Emotions in Design

17:39 → When Metrics Look Good but Users Feel Disconnected

20:40 → Evangelization vs Democratization of Insights

23:46 → Why Confidence Intervals Really Matter

26:37 → Beyond Single Numbers: Communicating Reliability

29:58 → The Next Frontier in User Research

31:29 → The Role of AI in Analytics & UX

34:33 → Predicting User Emotions with AI

36:35 → Ethics & Human Judgment in the Age of AI

39:06 → Final Thoughts & Future of UX Research


📌 Watch until the end for insights on AI ethics, synthetic archetypes, and the balance between human intuition and machine-driven analytics.
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