Input
Reviews and survey answers come in from public and private sources.
Software
Customer complaints turned into a weekly to-do list.
Pulls Google reviews, support tags, survey notes, and testimonials into one dashboard. It groups themes, spots repeated complaints, and drafts reply templates.
Input
Reviews and survey answers come in from public and private sources.
AI step
Review Miner clusters themes, sentiment, and repeated operational issues.
Output
You get a plain weekly report with reply drafts and fixes to consider.
Reviews and survey answers come in from public and private sources.
Review Miner clusters themes, sentiment, and repeated operational issues.
You get a plain weekly report with reply drafts and fixes to consider.
| Manual | Slow, inconsistent, and usually done when you are already tired. |
|---|---|
| Review Miner | Groups feedback into 6-12 themes. Cuts review reporting from 2 hours to 15 minutes |
| Human role | Approve, edit, handle edge cases, and decide what deserves judgment. |
"We finally saw that parking, not price, was killing our reviews."
Tara Mills
4.2 to 4.6 rating
"It is cheaper than one awkward team meeting."
Owen Price
2 hours saved/week
Customer-facing integrations should use encrypted storage, provider OAuth, audit logs, and data deletion controls before handling real connected accounts.
The answers are plain because your software budget should be too.
No. It drafts replies. You approve the public words.
Yes. CSV upload is enough for historical notes.
No. It helps you understand and answer them.