Dashboard
Themes, sentiment, trends and comparisons on one shared surface.
Use cases
App Voices
Turn app reviews into product and brand insights.
See how Cauliflower structures public app-store data, makes themes and sentiment comparable, and turns them into dashboards, driver analysis and editable reports.
Google Play · iOS · Research model · EU-hosted
In · free text
Out · aspects
Onboarding
Performance
Usability
Price & plan
Support
positive neutral critical
The problem
Thousands of app reviews. Little comparable knowledge.
App reviews carry valuable signals about product quality, user needs and friction. Handled manually they stay fragmented, hard to compare and too slow for decisions you make regularly.
Raw material · free text
Each tile one text. Readable alone, comparable never.
Comparable
Onboarding
Performance
Usability
The same texts, measured against a structure.
How it works
From public reviews to decision-ready insights.
01
Import the reviews
App reviews from Google Play or iOS come in through the connectors — for one app, across versions, or as a competitive set.
02
Structure themes and sentiment
Cauliflower derives a codebook from the texts and assigns aspect and sentiment to every mention — traceable, and correctable where you disagree.
03
Make it comparable
Apps, versions, markets and periods become dimensions of the same model instead of separate analyses.
04
Produce the outputs
One model yields a dashboard, answers from the Insights Agent and an editable PowerPoint report.
What becomes visible
Seven angles on the same texts.
Each dimension is its own analysis — same structure, a different cut.
Most frequent themes and aspects
Which aspects come up at all — and which of them belong together.
Sentiment per aspect
Not one overall score, but agreement and criticism per aspect.
Evidence in the original words
For every aspect, the voices it was built from.
Versions and markets
What shifts between two releases, or between two markets.
Version AVersion B
Drivers of satisfaction
Which aspects carry the rating, and which ones cost it.
Development over time
When a theme appears — and when it goes away again.
Comparison across apps
Your app and the competition measured against the same structure.
Every illustration on this page is a schematic: it shows the shape of the analysis, not its result. Actual figures appear with the sample report — each carrying its data source, collection period, sample size and method note.
The research model
Many inputs, one model, many outputs.
Cauliflower connects open-ended answers with structured research data. App reviews are not only coded — they are related to time, market, version, segments and further metrics. Structured once, still there for the next wave.
App-store reviewsSupport ticketsIn-app feedbackSurvey verbatimsInterview transcripts
Cauliflower
One research model
CodebookAspectsSentimentSegmentsWaves
structured once · used by every output
DashboardInsights AgentPowerPointExport & API
The result
Three ways out of the same model.
Insights Agent
Ask questions about the study and get answers grounded in the research model.
PowerPoint report
Editable charts and presentation-ready results from the same model.
Sample report
Reserve the App Voices sample report.
Status
The sample report is not available yet.
We're working on it. You'll get a single message once it's ready — no newsletter, nothing in between.
Using publicly available app reviews, the report shows how unstructured user voices become comparable product and brand insights — with data source, period and methodology.
EU-hosted · GDPR-compliant · revocable at any time