Cauliflower is an AI-powered platform that helps teams analyze open-ended responses, customer reviews, and qualitative feedback—quickly and without manual coding. It turns unstructured text into structured insights, making it easier to understand what customers really think. The tool is designed for use in market research and customer experience (CX), with support for multiple languages and data sources. Typical applications include: • Surveys with open questions (e.g. likes/dislikes, brand associations) • CSAT or NPS feedback analysis • Online reviews from platforms like Google or Trustpilot • Brand tracking or experience monitoring over time Key features: • AI-generated topics that can be manually refined • Driver analysis for KPIs like satisfaction or purchase intent • Multilingual support and flexible project setup • Interactive dashboards for topic and sentiment views • Built-in summarization tools (extractive & generative) • Collaborative workflow with exportable results Organizations like Tchibo, ECE, and Naturana use Cauliflower to structure feedback from surveys and public sources—saving time and improving decision-making. Cauliflower is particularly useful when open feedback is central to a study. It replaces manual coding and word clouds with transparent, flexible, and scalable analysis workflows. Ideal for research teams who want to make qualitative data actionable—fast.