The challenge
A software company can hear from customers through support tickets, calls, product discussions and reviews. When those sources are separate, important patterns may emerge later than they should.
What we worked on
Using VibeCheck, we explored ways to classify customer conversations, group related issues and give product teams a more useful view of recurring feedback.
The engineering challenge
Feedback arrives in different formats, from different markets and with varying amounts of context. A useful system needs data cleaning, deduplication, consistent classification and traceable findings.
What this illustrates
The valuable work is often in the pipeline between raw data and a trustworthy decision, not simply in putting a chatbot on top.