Cloud customer feedback analysis agent
Combines feedback across channels and highlights recurring problems with supporting examples.
Problem it solves
Feedback is fragmented across support, app stores, surveys, and social channels, delaying product insight.
Inputs
De-identified reviews, support tickets, ratings, channel, language, and product version.
Outputs
Themes, trends, critical signals, representative examples, and a weekly product brief.
How it works
Cloud language models normalise multilingual feedback, group themes, and link findings to source messages.
Limits and boundaries
Data is de-identified before cloud processing; rare themes and sarcasm require human review.