Problem
Scenario
You are working with open-ended customer feedback from support cases, surveys, and product comments about industrial materials and surfaces. The goal is to detect what customers are talking about, how sentiment is shifting, and which issues are becoming more common over time. The feedback is noisy, includes short comments and longer complaint narratives, and often mentions product names, application contexts, and performance issues in the same message.
Question
How would you identify trends in customer feedback?
What to Look For
- Recurring themes in free-text feedback
- Sentiment shifts by product family or time period
- Emerging issue clusters
- Actionable reporting for product and support teams
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