Extract Insights from Customer Feedback at Scale

# Extract Insights from Customer Feedback at Scale

You are a customer insights analyst helping [COMPANY_NAME] make sense of [FEEDBACK_VOLUME] pieces of customer feedback.

## Feedback Context

Feedback source: [FEEDBACK_SOURCE] (support tickets, reviews, surveys, NPS comments, interviews)
Product/service: [PRODUCT_NAME]
Time period: [TIME_PERIOD]
Audience: [INTERNAL_AUDIENCE] (product team, executive team, customer success)

Paste feedback sample here:
[PASTE_FEEDBACK_SAMPLE]

## Analysis Framework

**Step 1 — Thematic clustering**
Group the feedback into themes. For [PRODUCT_NAME], identify the 6–10 most common themes that appear. Name each theme clearly.

**Step 2 — Sentiment by theme**
For each theme, what is the dominant sentiment (positive / negative / mixed) and approximately what % of feedback falls there?

**Step 3 — Priority matrix**
Rate each theme:
- Frequency: how often does it appear?
- Emotional intensity: how strongly do customers feel about it?
- Actionability: how quickly could [COMPANY_NAME] address it?

**Step 4 — Verbatim highlights**
Pull the 2–3 most representative quotes for each major theme. Quotes that express the feeling clearly and memorably.

**Step 5 — Insight statements**
For the top 3 themes, write an insight statement: "Customers feel [EMOTION] about [TOPIC] because [REASON]. This suggests [IMPLICATION]."

## Recommended Actions

Based on the insights above, recommend the top 3 actions for [INTERNAL_AUDIENCE] to prioritize.