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Find Themes in Your Product Reviews

Data / Analysis · ChatGPT, Claude, Gemini · data
85AI Quality /100
94AI Usefulness est. /100
71Eval Confidence /100
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Quality, usefulness and confidence are AI evaluations out of 100 — not user ratings. Community results come from visitors' "worked / didn't work" votes below. How scoring works →

The prompt

Analyse my customer reviews and tell me what people love, what bothers them and what to fix first. Reviews: [paste, or upload a CSV with rating, date and text] Product: [name and short description] Time period: [e.g. last 6 months] Do this: 1. Group the reviews into 6-10 themes (e.g. delivery speed, size fit, taste, packaging). For each theme: how many reviews mention it, whether it's mostly positive or negative, and 2 short quotes copied exactly from the reviews. 2. Separate product problems from service problems (delivery, support). 3. Show any theme that's getting worse or better over time, if dates are given. 4. A fix list ranked by how often the issue appears and how much it hurts ratings. 5. 3 phrases customers use that I could use in my product page and ads. Count only what's in the data; don't invent numbers. If a review is unclear, put it under "unclear" rather than guessing.
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