# Analyze customer feedback, reviews, or survey comments

Finds themes, sentiment, and priorities in customer feedback, and what to do about them.

- Topic: Customer Support
- Framework: RCTFVV
- Level: Advanced
- Tags: Customer Support, Analyze, Research, Fill-in Template
- Source: https://www.thinkwithprompt.com/prompts/analyze-customer-feedback-reviews-or-survey-comments

## Prompt

```text
Role: Act as a UX researcher analysing voice-of-customer feedback at scale.

Context: Feedback sources and volume (reviews, support tickets, survey verbatims, NPS comments, sales notes): [SOURCES_VOLUME]. Time range: [TIME_RANGE]. Product areas to tag against: [PRODUCT_AREAS]. Segments to break down by: [SEGMENTS]. What decision this feeds: [DECISION].

Task: Produce: a coding scheme (themes / sub-themes tied to product areas); a themed summary with, per theme, the frequency, sentiment, an estimate of severity/impact, representative quotes, and the trend over the range; where themes differ by segment; and a prioritised list of recommended actions (fix / investigate / monitor) with the rationale.

Format: Sections: Coding scheme | Themed summary (table) | Segment differences | Recommended actions. ~500 words.

Verification: Give counts, not vague quantifiers ('many'); note where the sample is skewed (e.g. reviews over-represent extremes). Keep quotes verbatim and attributed to a source type.

Validation: Check the top theme against the raw feedback: does the count hold up and is the severity estimate reasonable, not inflated by a few loud voices? Adjust.
```

## What to fill in

- SOURCES_VOLUME
- TIME_RANGE
- PRODUCT_AREAS
- SEGMENTS
- DECISION

Free to copy and use. From ThinkWithPrompt (https://www.thinkwithprompt.com/), a library of 2,663 curated AI prompts.