The platform

The research platform behind decision-ready insight.

Cauliflower turns complex study data into one shared research model — powering dashboards, text analysis, AI explanations, PowerPoint exports and governed collaboration.

Raw data

SPSS
Excel
CSV
APIs
Verbatims
Reviews
CAULIFLOWER
Research model
  • Questions
  • Waves
  • Brands / entities
  • Metrics & segments
  • Weights & base sizes
  • Significance
  • Open answers

Outputs

Dashboards
tracking · benchmarks
Text analysis
aspects · sentiment
AI agent
in-context Q&A
PowerPoint
native · editable
Governance
roles · EU hosting

Research model

A shared model for every study.

Cauliflower does not treat research data as flat tables. It maps the logic behind your study — so every dashboard, AI answer and export stays connected to the same structure.

Study structure
QuestionsItem batteriesMatrix structuresQuestionnaire routingWaves
Analysis logic
WeightsBase sizesSignificanceSegmentsMetrics
Research objects
Brands / entitiesOpen answersImplicit hierarchies
Brand Tracker 2026n=2,317 · wave 3
Item battery
Waves W1W2W3now
Segments
18–3435–5455+
Weights · base
w 1.4n=812sig 95%
1 modelPowers every output →

One model, mapped once — reused by every workflow.

What Cauliflower understands

Tables show values. Cauliflower understands their research context.

Generic BI systems, language models and data warehouses can store, aggregate or linguistically process data. However, they do not automatically recognize the methodological meaning of individual variables within a study.

Generic tools see Cauliflower understands
Columns with similar names Related items and item batteries
Blank cells and missing values Questionnaire routing and valid subsamples
Another numerical variable Weightings and their function in the analysis
Timestamps or period codes Waves, developments and recurring measurements
Categories and numerical values Brands, markets, products and other entities
Different group values Comparison groups, base sizes and significance
Small case counts Low Bases and results that must be interpreted accordingly
Individual text responses Aspects, aspect categories, sentiment and verbatims
Correlations and deviations Methodologically defined driver and group analyses

This allows quantitative and qualitative results to be analyzed within the same logic. Filters, calculations, base sizes and comparison definitions remain consistent across dashboards, text analyses, presentations and Agent responses.

Dashboard workspace

Dashboards built from study logic.

Build reusable dashboards for different stakeholders — from deep analysis to executive summaries — without rebuilding every report from scratch.

Brand Tracker · Dashboard ExploreEditPresent
Wave 3 Age 18–34 DE · FR · UK Export Present
67
Trust index
+6 vs W2
62%
Positive
n=2,317
−8pt
Age 18–34
soft spot
Most-mentioned likes
TasteQualityValueTexturePrice
n=2,317 · share of mentions
Brand trust by wave
n=812 · age 18–3495% sig
Smart Caption2

Trust is up overall, but softening among younger buyers — watch price perception.

Add commentOpen in dashboard →
Pages & sectionsChart typesFiltersSegmentationsBenchmarksTracking / waves

Text analysis

Open answers, structured in minutes.

Code open answers into aspects, detect sentiment, summarize themes and connect qualitative drivers back to your dashboards — on surveys and public reviews alike.

Verbatims3,600
"Love the taste, but it's a bit pricey."
"Great quality, premium packaging."
"Good, but the price went up again."
Aspects · sentiment31
Taste1,240
Quality960
Price870
Packaging540
posneuneg
Summary · drivers

Taste and quality drive positive sentiment; price is the main detractor.

Taste+.42
Quality+.31
Price−.28
Send to dashboard

AI assistant

AI that works inside your research context.

Ask questions in context, generate Smart Captions and turn answers into traceable dashboard artifacts — never a generic chat, always tied to n, wave, segment and chart.

Cauliflowerresearch agent
live
n=2,317wave 3DEage 18–34Brand trust
How has trust developed in the young target group?
Trust slipped 8 points among 18–34 since wave 2 — price perception is the main driver.
−8pt · age 18–34
Smart Captionn=812
Send to dashboard
Ask anything about this study…
Q&A over studies

Answers grounded in your model — with base sizes and filters.

Smart Captions

Auto-written chart takeaways you can edit and pin.

Chart explanations

Ask any chart what changed — and why.

Segment comparisons

Compare cuts side by side in one prompt.

Send to dashboard

Every answer becomes a traceable, reusable artifact.

Presentation & export

From dashboard to decision room.

Export native, editable PowerPoint in your corporate design — or share live dashboards with public links and present mode.

Brand Tracker · DashboardWave 3
Likes
Trust
Taste leads; price is the soft spot.
Export
Native PPTX
Brand health · Q3 2026
Trust is up overall — softer with younger buyers.
Editable chartsCorporate design
W1W2W3now
67
trust index · +6
−8pt
age 18–34
3 / 12
Native PowerPointEditable chartsPublic linksPresent modeCorporate designMaster templates

Governance

Governed by design.

Turn exploration into reusable organizational knowledge — with roles, approvals, branding, EU hosting and traceable outputs.

TraceabilityEvery AI answer stays connected to its source — and to what it becomes
AI answer
grounded · −8pt
Comment
flagged · pinned
Dashboard
reusable card
PPTX export
native · editable
source · Brand Tracker · wave 3 · n=2,317 · age 18–34

Roles & permissions

Give each team member the right level of access — from editors to free viewers.

Rights & approvals

Control who can publish, share and export — with review before anything ships.

Branding & languages

Apply your corporate design and work across multiple interface languages.

EU hosting

100% hosted in the EU — built in Hamburg for European research data.

GDPR-compliant

Data processing agreements and governed handling that meet GDPR requirements.

Traceable outputs

Every chart, caption and export links back to its source in the research model.

100% EU hostingGDPR-compliantAVV / DPASSO & private tenant · Enterprise

The modules

Everything you need for analysis – in one platform.

NPS & KPI analysis

Analyze NPS and other target metrics by segments, touchpoints or waves, and prioritize which factors are associated with each KPI.

NPSMetricsDrivers

Driver analysis

Use Shapley-based methods and Kruskal-Wallis analyses to examine which aspects or attributes are particularly closely associated with a target metric.

ShapleyKruskal-WallisDriving Power

Data quality & statistics

Make base sizes, Low Base warnings, weightings and statistically significant differences visible directly in the analysis.

SignificanceLow BaseWeighting

How it works

From existing study data to a communicable result.

01

Structure

Upload data from SPSS, Excel, CSV, APIs or verbatims and assign columns, roles, weightings and recodings in the guided setup.

02

Analyze

Examine closed-ended and open-ended questions using filters, segmentations, significance tests, text analysis and driver analyses.

03

Visualize

Transfer results into dashboards and visualizations based on the same definitions, base sizes and calculations.

04

Explain

Use Smart Captions, AI insights and the Insights Agent to interpret results and answer specific analytical questions.

05

Present

Share results through protected links and Presentation Mode or export them as a native, editable PowerPoint file.

See the full platform with your data.

Book a guided walkthrough with one of your own studies — from raw data to decision-ready output.

EU-hosted · GDPR-compliant