AI Product Lab: Build an AI Workflow for Turning Scattered Customer Feedback into Better Product Decisions

Customer evidence is everywhere, but product teams are still making important decisions without seeing the full picture.

Customer interviews, support tickets, sales calls, product-usage data, Slack conversations, and stakeholder requests can all reveal something useful. But those inputs live in different systems, arrive at different times, and rarely connect to the product question a team needs to answer. In this AI Product Lab, Aman Khan and Eric Xiao build a practical workflow for turning scattered customer evidence into a source-linked system that product teams can explore, challenge, and use to make better decisions.

Rather than showing another AI summary, Aman and Eric work from concrete PM questions and a messy collection of inputs. You’ll see how they organize the evidence, identify patterns and contradictions, trace findings back to their sources, and create a decision-ready view of what the team knows and what it still needs to learn. They also show you how to keep the workflow useful as new feedback arrives.

What you’ll learn and how you can apply it

• Start with a product question that customer evidence can genuinely help answer
• Bring research, customer calls, support feedback, sales input, and usage signals into a usable evidence set
• Use AI to identify themes, contradictions, gaps, and differences across customer segments
• Build a source-linked view that lets teammates inspect the evidence behind an insight or recommendation
• Create a repeatable workflow that updates as new customer feedback arrives

This live event recording is for you because...

• You’re a product manager with customer evidence scattered across too many systems and too little time to synthesize it.
• You want to make roadmap and discovery decisions with stronger evidence than a handful of recent conversations or internal requests.
• You have tried AI for note-taking and summarization but want to see how it can support a more durable product workflow.

Prerequisites

• Read The AI-Powered Product Manager (early release book)
• Read AI Product Management (early release book)
• Take AI Prototyping for Everyone (live online course with Maryam Aidini)
• Take AI Product Management in 3 Weeks (live online course with Marily Nika)

Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.