Classify customer feedback sentiment by theme
Turn a column of open-text customer feedback into themed, pivotable sentiment data.
An engagement survey came back with 32 open-text comments and no structure.
Group the comments into themes and find the dominant one.
| ResponseID | Comment |
|---|---|
| R-1 | I don't have time for the tasks assigned to me. |
| R-2 | There's no clear path for promotion here. |
| R-3 | Deadlines keep overlapping with no relief. |
| R-4 | On-call rotations are too frequent. |
| R-5 | My 1:1s get cancelled too often. |
Prompt idea:
Here are 32 open-text survey comments. Classify each into one of these themes: Workload, Management, Tools, Growth. Give me a count per theme and call out which one dominates.
Which theme appears most often across the 32 comments?
Group comments into themes first (Workload, Management, Tools, Growth), then count which theme has the most.
The solution files contain the completed challenge. Review the approach to see if you missed any edge cases.
Turn a column of open-text customer feedback into themed, pivotable sentiment data.
Turn on the in-survey Copilot rephrasing experience so respondents can clarify open-text comments before they submit.
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