Problem
Scenario
You are working with a dataset of customer feedback collected from service interactions, surveys, and digital channels. The goal is to turn unstructured comments into clear themes, sentiment signals, and issues that a marketing or customer experience team can act on. Some comments are short and direct, while others include multiple complaints, requests, and references to billing, outages, service quality, or account support.
Question
If given a dataset with customer feedback, how would you extract actionable insights?
What This Tests
- Sentiment analysis for customer tone and pain intensity
- Topic modeling to surface recurring themes
- Text classification for structured issue tagging
- TF-IDF for interpretable keyword and phrase extraction
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