Free Lesson

AI product testing: find and fix bugs with synthetic users

Hosted by George Xing

Thu, Jun 11, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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AI-Powered Product Analytics
George Xing
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What you'll learn

Configure AI synthetic users to stress-test any product

Set up personas, scenarios, and run parameters in Claude Code so AI agents drive your product like real users.

Run 30 parallel AI users and triage what they find

Launch browser-based agents that surface UX bugs, broken flows, and persona-specific friction in under five minutes.

Replay failed sessions in Amplitude and fix bugs live

Jump from a flagged issue into Session Replay to see the exact failure, then ship a fix and verify with a re-run.

Why this topic matters

Most product teams discover bugs from real users, which means early users end up becoming the QA team. In a world of AI-generated code where teams build faster than ever, avoiding product slop has never mattered more. Testing your product with AI synthetic users lets you catch and fix bugs pre-launch, so you can build fast without sacrificing quality.

You'll learn from

George Xing

Previously AI and Data Product Manager at Stripe, Head of Analytics at Lyft

George has spent 15 years working in data as a product builder, analytics leader, founder, and startup advisor.

He was head of analytics at Lyft from 2014-2020 and spearheaded data-driven decision-making at the company through a period of 100x growth. After Lyft, George founded Supaglue, a data integrations company which exited to Stripe, where he led the development of data and AI products.

In his free time, he enjoys making coffee with his v60 and going on long runs.

Lyft
Stripe
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