AI-Supported Feedback Pipeline Harmonization

Preview coming soon

The problem: Customer feedback is scattered across app stores, support tickets, surveys, and social, fragmented, inconsistent, hard to act on.
What I built: An AI-supported data pipeline that harmonizes and normalizes multi-source customer feedback into a single, analyzable stream.
What it shows: Converting messy, multi-source feedback into clean product signal.

Stack / status: AI/NLP pipeline · Prototype

Feedback lives everywhere, app stores, support tickets, surveys, social, in different shapes and vocabularies, which is why most teams act on the loudest source instead of the truest one. This prototype pipeline harmonizes and normalizes those sources into a single analyzable stream, so messy multi-source feedback becomes clean product signal you can actually prioritize against.

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