Amplitude Launches AI Feedback to Transform Customer Insights

AI Feedback Centralizes Customer Voice

Amplitude released AI Feedback on November 12, 2025, a product feature designed to aggregate and analyze customer feedback from app stores, support tickets, social media, and other sources. The tool uses proprietary language models trained specifically on product feedback patterns to identify feature requests, complaints, and implicit needs at scale. Unlike generic AI models, the system includes patent-pending hallucination detection to ensure analysis reflects actual customer input rather than inferred conclusions.

From Kraftful Acquisition to Platform Integration

The feature originated from Kraftful, a standalone feedback analysis startup founded by Yana Welinder, who now serves as Head of AI at Amplitude following the acquisition. Welinder built Kraftful after observing product managers consistently failing to prioritize user feedback despite its strategic value. The integration into Amplitude's platform represents a significant evolution: teams can now correlate feedback sentiment with behavioral data, session replays, and conversion metrics within a single interface.

Replit Demonstrates Early Adoption

Replit, the cloud development platform, implemented AI Feedback to replace manual feedback aggregation processes. Amol Jain, Head of Product Engineering at Replit, described the automated consolidation of multiple feedback sources as "fairly magical," noting it eliminated weeks of manual analysis work. The company now uses the tool to prioritize roadmap features based on actual customer language patterns rather than internal assumptions.

Technical Differentiation Through Proprietary Models

AI Feedback distinguishes itself through specialized training rather than relying on general-purpose large language models. The system can identify that 247 users complained about copy-paste limitations and automatically flag this as an implicit export feature request. It tracks feature mentions across six different channels and calculates that "confusing onboarding" appears three times more frequently in feedback from churned users versus retained ones, providing granular insights that inform product decisions.

Behavioral Analytics Meet Sentiment Data

The platform's integration with Amplitude's existing analytics capabilities creates what the company positions as a "full picture" view. When support tickets mention "checkout is broken," teams can simultaneously observe that checkout conversion dropped 15%, isolate the issue to Safari mobile users, and review session recordings to pinpoint friction points. This connection between qualitative feedback and quantitative behavior data accelerates problem diagnosis and solution validation.

Availability Across All Pricing Tiers

AI Feedback is available on all Amplitude plans, including the free tier, with basic access and limited feedback volume. Teams requiring extended capacity can access an advanced add-on. The company emphasizes rapid implementation, stating feedback sources connect in under one minute with insights appearing within minutes of integration.