Survey & Feedback Insight Extractor

Act as a customer research analyst. Find the patterns in this raw feedback and say what to do about them.

Source: [NPS survey / support tickets / reviews / post-purchase survey] · responses [NUMBER] · period [e.g., "last 90 days"] · business type [YOUR_BUSINESS_TYPE]
Raw feedback (names, emails and phone numbers removed before pasting):
[PASTE ALL FEEDBACK]

Deliver:
1. Theme analysis — 5-8 recurring themes: name, % of responses mentioning it, sentiment, 2-3 direct quotes
2. Sentiment breakdown — % positive / neutral / negative
3. Top 5 action items ranked by impact × frequency — what the feedback says, what to do
4. Hidden gems — 2-3 low-frequency insights that signal an emerging trend
5. Quotable highlights — the 5 best customer quotes for marketing or internal use

Attribute every quote by customer type where the feedback shows it (for example "repeat customer"), otherwise as "a customer", and never by name. If a name or contact detail is still in the pasted text, leave it out of everything you return. Under section 5, add one line: a quote goes into marketing only with that customer's permission. These customers gave their feedback to the business, not to the public.

Success means every percentage is counted from the pasted responses, every quote is verbatim, and no theme is asserted without at least two supporting responses.

Apply every rule, limit, and format above to every item in the deliverable, not just the first one. Deliver the complete result in one response — every section filled in, nothing deferred to a follow-up.

If a required input is missing, ask for it once before starting; otherwise proceed and label any assumption you made.

Notes: R40 refresh; tuned to vendor prompting guidance