Mutterbox

Review analysis for venue owners

Five things to fix. In this order.

The report does not end with a paragraph about caring for quality. It ends with a task list carrying a deadline, a cost and the number of complaints each one removes.

Within a week

Quick wins

Publish a daily attraction availability schedule

94 complaints · minimal cost · 2 days

Hourly changing-room cleaning checks

56 complaints · minimal cost · 1 day

Within 30 days

Moderate effort

Align the price list online and at the desk

39 complaints · low cost · team work

One-page answer sheet for the front desk

13 complaints · minimal cost · 3 days

Beyond 30 days

Larger projects

Online tickets with a timed entry window

9 complaints · medium cost · project

The rest waits until a slot frees up

A slice of a real report: every task carries its complaint count, cost and deadline.

52%

of Google reviews are a star rating with no words at all. We count them in the statistics but draw conclusions only from reviews with text — and we say so in the report.

days

is what it takes to read a few thousand reviews by hand. Mutterbox does it in minutes and shows which complaints repeat.

3 sources

minimum for a problem card, plus at least one verified quote. A one-off incident never reaches your to-do list.

Process

How it works

Four steps from connecting a venue to a finished report. The longest one — pulling the entire review history — happens without you.

  1. Step 1

    Point at your venue

    Add a company and a location, then connect its profile on a review platform.

  2. Step 2

    We fetch the full history

    Not the last ten reviews — every one of them. Later runs fetch only what is new.

  3. Step 3

    Analysis with verification

    The model groups repeated problems; a separate layer checks every quote against the original.

  4. Step 4

    PDF report

    Problem cards with complaint counts and dates, plus recommendations across three time horizons.

What you get

A report that ends in a task list

Not "sentiment analysis" and not a word cloud. Specific problems with complaint counts, specific advantages with praise counts, and a quote under every sentence.

A fix list ordered by deadline

Every task carries the number of complaints it removes, an estimated cost and an implementation time. Order within a column follows complaint count, so the top item is what hurts the most people — not what sounds most interesting.

  • Three horizons: within 7 days, within 30 days, beyond 30 days
  • Each task states its expected effect, not a platitude
  • Severity and confidence computed from data, not declared by the model

Check-in takes longer than the promised 15 minutes

Critical Waiting time Confidence: high Confirmed in: Google, Booking.com

The complaint recurs all year and peaks on Fridays and on conference days. Guests do not write about the waiting itself, but about nobody telling them how long it will take.

„We waited at reception for over an hour despite a booking. Nobody could say how much longer it would take" Google · 14.03.2026 · review #48211

Showing 1 of the 41 reviews carrying this signal.

A problem card from the report — an example built on reviews from a test venue.

Staff remember guests and greet them by name

Customer service Confidence: high

The most praised area, mentioned independently across three sources. It recurs in reviews from returning guests — exactly where the next booking is decided.

„This is our third year in a row. The staff remember guests by name, which is rare these days" Google · 19.07.2026 · review #51044

↻ What to keep: greeting returning guests by name at check-in

A strength card from the report — quotes lifted from the original reviews.

Strengths — what drives the positive reviews

The second half of the report answers the question nobody asks until it is too late: what to keep. Advantages disappear quietly, because nobody files a complaint about something that stopped being good.

  • Scale "X of Y reviews with praise" and the trend over time
  • A "what to keep" sentence on every advantage
  • Contested areas flagged when the same topic returns on both sides

Four platforms in one report

Google Maps, Facebook, TripAdvisor and Booking.com. Averages are compared only within one platform — a 1–5 scale and a 1–10 scale are not the same scale.

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Quotes cut from the original

A separate layer cuts every quote from the review and compares it character by character. A fragment missing from the original drops out together with the card that rested on it.

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Scheduled monitoring

A weekly or monthly check of what changed, with a difference report. You pay only when reviews actually came in.

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Competitor comparison

Up to five venues you choose. Competitors get no recommendations — the commentary is built from metrics alone.

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Where else your reviews live

A list of places companies usually miss — employer sites, B2B directories, Apple Maps — each with a ready search link, plus ways to collect more reviews.

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Your own categories

A furniture maker wants "installation" and "delivery dates", a clinic wants "phone bookings". Add your own categories and the analysis starts using them.

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PDF, CSV and a shareable link

A report for the board, data for a spreadsheet, a link for an agency client. Source quotes in a separate file.

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Team and roles

Owner, admin, analyst and viewer. An analyst can be limited to selected companies — useful in an agency.

Read-only API

The token sets identity and organisation at once. No writes: running analyses remotely would spend credits without confirmation.

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Method

Why you can trust it

A report from a language model is worth exactly as much as your ability to check it. Mutterbox is built around one rule.

Numbers come from the database

The model never produces a single number that reaches the report. Complaint counts, dates and percentages come from SQL.

Quotes verified literally

A quote is a character range in a specific review, not text from the model. A fragment absent from the original does not pass.

Trend measured as a share

A "rising" problem means a rising share of complaints, not a rising count — otherwise every problem would look rising in a growing venue.

„Felt like a water park from another era, everything old and the outdoor pool was barely heated."
A sample quote from a report — cut from the original review, typos included. Every quote in Mutterbox works this way.

Plans

Pricing

You pay for reports, not for access. Accounts and browsing reviews are free.

Overview

free

The full review browser, metrics and workflow — no fee, no card.

  • Every review in one place, with filters and search
  • Metrics computed from your data: rating spread, seasonality, response time
  • Tags, notes and statuses — your work on reviews, written down

Start

One venue, a report each quarter.

  • 1 location
  • 6 reports per month
  • PDF report and share link

Pro

Most popular

A chain, or several venues you look after.

  • Up to 10 locations
  • 19 reports per month
  • Competitor analysis and monitoring

Agency

Many clients and a team with scoped access.

  • Unlimited locations
  • 58 reports per month
  • Your own logo on reports

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