AI Feedback Office Hours: How to Turn Customer Feedback Into Actionable Insights
Your users are providing feedback online, but how do you take their insights and make them actionable? In this session, we’ll show how Amplitude’s AI Feedback connects qualitative voice‑of‑customer signals with behavioral data to surface the “why” behind user behavior—fast enough to act while the window is still open.
You’ll learn how to:
Go from scattered feedback > prioritized actions with AI-clustered themes.
Pinpoint rising complaints, top requests, and loved features and correlate them with behavioral anomalies in your product.
Use cohorts and Session Replay to investigate friction, then decide: fix, experiment, or inform your roadmap.
We’ll take real signals (e.g., support tickets, app reviews, call transcripts, and community posts) and show end‑to‑end: AI clustering, behavior correlation, cohort setup, replay investigation, and how teams move to experiments or fixes.
Who is this for?
Existing customers interested in exploring a voice of the customer tool.
Product managers, designers, CX/support leads, analysts, and marketers who need context behind the metrics.
Teams aiming to prioritize the highest‑impact work using integrated qualitative + quantitative evidence.
Bring your questions and we'll open up the session for Q&A! Share your blockers, hypotheses, or confusing past results—we’ll workshop how to approach them with AI Feedback.
Meet the Speaker
Yana Welinder leads AI Feedback at Amplitude and previously founded Kraftful, acquired by Amplitude in July 2025. At Kraftful, she pioneered AI systems that turn messy, unstructured feedback into actionable product insights. Today, Yana partners closely with Amplitude customers and the community to help teams connect voice‑of‑customer with behavior, detect friction early, and move from insight to shipping decisions that improve adoption and retention.
Add your questions to the Miro Board.
Can’t make it live? Register and receive the recording!