ReviewMiner
What your customers actually say, in one screen.
ReviewMiner turns a pile of customer reviews into sentiment and theme summaries — aspect coverage on one screen for product and CX teams who need signal without reading every line.
Paste a batch of product reviews and get the recurring themes, a sentiment split, and three concrete improvement ideas you can ship.
What it produces
- Recurring theme clustering
- Sentiment split
- Top praise / complaints
- Three improvement ideas
Your output, item by item
- Decision-support
- Demo mode
- No fake guarantees
What does ReviewMiner do?
ReviewMiner turns a pile of customer reviews into sentiment and theme summaries — aspect coverage on one screen for product and CX teams who need signal without reading every line.
Who is it for?
Product and CX teams scanning qualitative feedback.
What do you get?
ReviewMiner mines customer reviews for sentiment splits and recurring themes.
What are the limits?
No. It is decision-support summarization, not a certified research study.
When to skip ReviewMiner and write it yourself
ReviewMiner is built for one task: What your customers actually say, in one screen. It drafts replies, but a person should read anything customer-facing before it goes out.
Making the output usable
What is ReviewMiner?
ReviewMiner mines customer reviews for sentiment splits and recurring themes.
What do I paste in?
A set of reviews or a CSV-like snippet with enough volume to analyze.
Who should use it?
Product and CX teams scanning qualitative feedback.
Does it invent quotes?
No. Treat outputs as analysis; keep original reviews as source of truth.
How many reviews do I need?
More is better; very small samples get honesty warnings.
Does it guarantee accuracy?
No. It is decision-support summarization, not a certified research study.
How much editing will ReviewMiner's draft need?
Not a full CRM. It handles a narrow sales task; if you need pipeline-wide automation, SSO, or team workflows, a dedicated CRM fits better.
Who is ReviewMiner for?
support owners drowning in tickets reach for ReviewMiner when the job is: What your customers actually say, in one screen.
Built by Xingliang Li · LX Micro-SaaS Factory — a one-person, curated set of tight-vertical AI tools. How tools are selected →