How to Build an AI Pipeline for Customer Feedback
A customer rarely writes:
Feature request: Add CSV export to the analytics dashboard.
They are more likely to write:
We prepare our monthly report in Excel, so right now I have to copy each number manually. Is there an easier way?
A human product manager immediately understands the underlying request.
The customer wants an export capability.
A software system sees something more complicated:
- A description of an existing workflow
- An implied feature request
- A preferred destination
- A repeated manual task
- A possible source of frustration
- No explicit use of the words “feature request”
This is why building an AI system for customer feedback involves more than summarizing messages.
The real task is converting unstructured conversations into structured product data without removing the context that makes the feedback useful.
The Input Is a Conversation, Not a Form
Traditional feedback boards receive relatively structured input:
Title: Export analytics to CSVDescription: We need...
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