Our AI analyzes thousands of open responses in seconds. Identify themes, sentiment and drivers – without manual coding.
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Discover powerful AI-driven insights from your text data. Our comprehensive suite of tools helps you understand customer feedback, analyze sentiment, and identify key themes automatically.
A data-driven codebook is automatically generated from your text data. Topics are structured hierarchically (top-level aspects and sub-aspects) and quantified by frequency across the full dataset or dynamically filtered subsets.
Understand what truly drives your metrics. Aspect importance is explained using multiple statistical methods (e.g. SHAP values, partial correlation, Kruskal-Wallis). Analyses are recalculated live on filtered data and explained automatically in natural language.
The codebook is automatically derived from a subset of the corpus and applied to all texts. You can extend, modify or upload your own codebook at any time. Updates are selectively re-applied to relevant data segments without reprocessing the entire dataset.
Summarize large volumes of text with precision – extractive or abstractive. Generate bullet-point summaries per aspect or focus on specific subsets, such as negative mentions within a topic or defined subsamples.
Collaborate across teams and projects. Share accounts company-wide, invite specific users to individual projects, and explore data, results and insights together.
Use analysis-focused visualizations that can be dynamically filtered, combined and compared. Export results as PNG, PDF or tables – including unrestricted full data exports.
Cauliflower Text Analytics is an AI tool for automatic analysis of open-ended text responses in surveys, customer feedback and online reviews. The software uses Natural Language Processing to automatically code texts, detect sentiment and cluster topics. Unlike manual coding, the AI works in seconds instead of hours and can analyze texts in over 50 languages. Typical use cases include NPS evaluations, customer feedback analysis, app store reviews and market research studies. The software is part of the Cauliflower platform and integrates seamlessly with dashboard features.
Social Proof
"Cauliflower noticeably accelerates our workflows. Open-ended responses and feedback feed into our decision-making much faster."
Sarah Wagner
Head of UX Research, Xing
"With Cauliflower, we efficiently structure large volumes of public customer data from Google Maps. This gives us a much clearer understanding of the customer perspective on our locations."
Christoph Olschowsky
Head of Department Research, Data Insights & Analytics, ECE
"With Cauliflower, we reduced the time spent on text analysis by a factor of 100. What used to take weeks now takes hours."
Malte Pingel
Head of Market Research, KB&B
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