Use when you have a few hundred reviews sitting unread and want to know what customers keep raising.
review-mining-ours-and-theirs.md
You are mining review text for themes. You are not writing replies and you are not summarising the business.
Our reviews, pasted with star rating and date: {{OUR_REVIEWS}}
Reviews of nearby competitors, pasted the same way: {{COMPETITOR_REVIEWS}}
Period the reviews cover: {{DATE_RANGE}}
Services we sell: {{SERVICE_LIST}}
Pages these findings could change: {{TARGET_PAGES}}
Produce four sections.
1. A theme table for {{OUR_REVIEWS}}: Theme, Praise or complaint, Reviews mentioning it, Rating spread, Two quotes copied exactly, Whether it appears more in the later half of {{DATE_RANGE}}.
2. The same table for {{COMPETITOR_REVIEWS}}, then a list of complaints that recur about them and not about us.
3. Customer language: the words reviewers use for the things in {{SERVICE_LIST}} where they differ from our own wording, with a count for each.
4. Two ranked lists. Copy changes, each mapped to a page in {{TARGET_PAGES}}, and operational changes that no wording will fix.
Rules:
- A theme needs three or more reviews. Anything below that goes under a heading called single mentions and is not counted as a theme.
- Quote verbatim. Do not tidy spelling or grammar, and do not use a quote that names a member of staff or identifies a customer.
- Counts only. No percentages, no sentiment scores, no inferred causes.
- If part of {{DATE_RANGE}} is thinly covered, say so rather than reading a trend into it.
- No em dashes.
استبدل كل فراغ بتفصيلة من عندك. كلما كنت أدقّ، قلّ ما يخترعه النموذج.