Solutions / Review insights

Review & feedback insight analysis

Every review, survey answer and support comment is read, grouped into themes and put in front of you as a ranked list of what to fix — instead of a folder nobody opens.

Support Analytics E-commerce · Professional services
100%
of reviews parsed, not a sample
Daily
the dashboard refreshes
Every theme
traceable to the quotes behind it
Who it is for

Product and CX leads drowning in qualitative feedback — enough of it that reading everything is impossible and reading a sample means arguing about whose sample was right.

Short answer

Reviews, survey responses and support comments from every source are read, clustered into themes and ranked by how often they appear and what they cost you. 100% of reviews are parsed and the dashboard refreshes daily, with the original quotes behind every theme.

The problem

You have thousands of opinions and no idea which one costs you the most.

01

Feedback arrives in six places

Marketplace reviews, app stores, NPS comments, support tickets, sales call objections. Each is read by a different team, and nobody sees the same complaint appearing in all of them.

02

Star ratings hide the reason

A rating that moved from 4.6 to 4.3 tells you something is wrong and nothing about what. The reason is in the text, and the text is what nobody has time to read.

03

Roadmaps get set by the loudest complaint

One furious review in the right meeting outweighs two hundred quiet ones. Without counting, priorities go to whatever was mentioned most recently rather than most often.

How it works

From trigger to result, step by step.

01

Collect every source into one place

Marketplaces, app stores, Google and industry review sites, NPS and CSAT responses, support tickets, and the objections logged from sales calls — normalised with date, product, channel and rating.

02

Cluster by what people mean

Not keyword buckets. "Took three weeks to arrive", "still waiting" and "shipping is a joke" are one theme, and they are counted as one theme even though they share no words.

03

Rank by weight, not volume alone

Frequency, rating impact, trend direction and — where you can connect it — the revenue behind the accounts saying it. A theme from twelve enterprise accounts outranks one from four hundred trial users.

04

Separate fix from amplify

The same analysis surfaces what people praise unprompted. That list is your marketing copy, written by customers, and it is usually more accurate than the copy you wrote.

05

Alert on what is new

A theme that did not exist last week is worth knowing about on Tuesday, not next quarter. New and accelerating themes are pushed to Slack or email rather than waiting to be noticed.

Before / after

What changes on the ground.

Today, by hand
×Feedback read in six places by six people
×Ratings drop with no explanation attached
×Priorities follow the loudest recent complaint
×New problems surface a quarter late
With the automation running
Every source in one ranked view
Themes with counts, trends and the quotes behind them
Priorities backed by frequency and revenue weight
New themes flagged within days of appearing
What you get

Delivered, not demoed.

Collection from your review sites, surveys, tickets and call logs
Semantic clustering into themes with original quotes attached
A daily dashboard ranked by frequency, rating impact and trend
Alerts for new and accelerating themes
Documentation and a handover session — the system is yours
Built with

We build in your stack rather than moving you onto ours. The list below is what this solution most often connects to — other systems are a scoping question, not a blocker.

LLM (replaceable) Vector store (pgvector / Qdrant) Google Business App Store / Google Play Zendesk Typeform Metabase PostgreSQL n8n
Time to production4–6 weeks
Build priceFixed quote
First stepFree mini-audit
Honest limits

When this is not the right solution.

·A few dozen reviews a month can be read by a person in an hour, and that person will understand them better than any clustering. We will say so.
·This tells you what customers say, not what they would pay for. It is an input to the roadmap, not a replacement for judgement, and we will not pretend otherwise.
·If nobody owns acting on the findings, the dashboard becomes another thing that goes unread. That ownership question is worth settling before the build, not after.

Questions we get about this one

Keyword rules catch the phrasings you thought of. Clustering groups by meaning, so complaints about slow delivery land together whether the customer wrote "took three weeks", "still waiting" or something unprintable — and new problems form their own theme instead of falling into "other".

Bring us the process that hurts.

The mini-audit is free: we take your version of this process apart and tell you plainly whether automating it pays. If it does, you get a scope and a fixed price.