We read through what people are already telling you, check it against how your competitors are doing, and hand you a short report on exactly what to fix first.
Most owners skim reviews for star ratings and move on. But buried in the text is a pattern — the same complaint, worded differently, showing up again and again. That pattern is usually the exact thing quietly costing you repeat business, and it rarely gets flagged from the inside.
Anyone can have an off night. What matters is whether the same specific issue keeps reappearing across different customers and different weeks.
A 4.2 average can still contain a sharp, recent decline in one specific area — the average smooths over exactly what you'd want to catch early.
Knowing a complaint exists isn't enough. Knowing it's unusual compared to similar businesses nearby is what tells you it's worth fixing now.
Every review, not just the one-star ones — recurring language matters more than any single complaint.
We compare foot traffic patterns at similar local businesses, using a statistical test to see whether a complaint is a coincidence or an actual trend.
What's actually driving customers away, ranked by what's worth fixing first — not a generic checklist.
I'm an engineering student, and I'm used to treating problems as data first — you don't fix what you haven't actually measured. Somewhere along the way I noticed that most local businesses were sitting on exactly that kind of data already, in their reviews, and mostly not using it beyond checking the star rating.
The gap seemed obvious: a one-star review that says "wait was too long" and a three-star review that says "took forever to be seated" are the same problem in different words, but nothing about the average rating shows you that. I wanted to build something that actually reads the text, finds the repeat pattern underneath it, and checks it against real statistical noise — the same rigor I'd apply to any engineering problem — rather than just another dashboard of star ratings.
That's the whole premise here. Not a generic checklist, and not just "your reviews say X" — a specific, checked answer to what's actually costing you customers, and what's worth fixing first.
This is a real example, page by page. We'll build the first two pages for your business at no cost — no obligation to continue after that.
"Order didn't match what was requested" — mentioned in 6 of the last 40 reviews, up from 1 in the prior 40.
The phrase doesn't show up at all before this point — a sign something specific changed, not a long-standing issue.
Send over your business name and we'll put together the first page or two, free. If it's useful, we can talk about what a full report would look like.