Cauliflower
AI text analytics for open-ended feedback and survey responses
About Cauliflower
Cauliflower is an AI-powered text analytics platform that transforms unstructured survey answers, reviews, and customer feedback into structured insights. Market research teams use it to auto-cluster topics, run driver analysis, and build interactive dashboards without manual coding.
Pros & Cons
Pros
- Fast analysis of thousands of open-ended responses without manual coding
- Intuitive codebook for refining auto-generated clusters
- EU-hosted, GDPR-compliant for regulated industries
- Responsive, hands-on support team
- Strong driver analysis for satisfaction and NPS programs
Cons
- No public API for programmatic access
- Pricing only starts clearly at $100/month, which may be steep for very small teams
- Best suited to market research workflows, not general BI
Key Features
AI-Generated Topics
Automatically clusters open-ended responses into adjustable topic groups.
Driver Analysis
Identifies which themes most influence satisfaction, NPS, or purchase intent.
Multilingual Processing
Analyzes responses across multiple languages in a single project.
Interactive Dashboards
Shareable dashboards with filters, drill-downs, and topic explorers.
Text Summaries
Generates extractive and generative summaries of verbatim feedback.
Codebook Editor
Manually refine, merge, or split topic clusters after the AI pass.
GDPR-Compliant Infrastructure
EU-hosted with AV agreements available for enterprise compliance.
Export Options
Export results to Excel, PowerPoint, and other downstream formats.
Pricing
- Core AI text analytics
- Interactive dashboards
- Topic clustering
- Email support
- Higher volume credits
- Driver analysis
- Multilingual processing
- Priority support
- Custom volume
- Dedicated onboarding
- AV agreements (GDPR)
- SSO and SLA options
Best For
Open-Ended Survey Analysis
Auto-categorize likes/dislikes and brand associations from survey verbatims.
CSAT and NPS Analysis
Turn free-text CSAT or NPS comments into driver-ranked insight dashboards.
Online Review Mining
Cluster Google, app store, or e-commerce reviews to surface top themes.
Brand and UX Research
Track brand associations and UX feedback over time with repeatable codebooks.
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