Content-Driven Follow-Up Questions
The SurveyBot automatically asks follow-up questions based on the respondent's answer – without prior knowledge of the topic. This enables targeted deepening of statements such as "I like the color design."
Conversational surveys with AI-powered follow-ups increase depth and clarity of open responses. On web, mobile or WhatsApp — with adaptive question logic. Unique in the market.
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No other tool combines intelligent data collection with AI text analytics and interactive dashboards. Surveybot is the missing piece between better questions and better insights.
The SurveyBot automatically asks follow-up questions based on the respondent's answer – without prior knowledge of the topic. This enables targeted deepening of statements such as "I like the color design."
You can define exactly which topics the SurveyBot may follow up on – and which are excluded. This helps avoid irrelevant or inappropriate content, while acknowledging that restrictions may introduce bias.
Dynamic follow-up questions work language-independently and can be used across all supported languages – consistently within international studies.
Brands, products or other entities mentioned in an answer are automatically recognized and reused in follow-up questions, preserving full contextual relevance.
The SurveyBot is integrated via REST API and runs entirely within the existing survey flow, without redirects or risk of respondent drop-off.
Cauliflower Surveybot is a conversational survey platform that replaces traditional questionnaires with natural chat conversations. The AI asks intelligent follow-up questions based on responses, increasing response rates by up to 40%. The bot can be deployed across different channels: web widget, mobile app or WhatsApp. Adaptive question logic adjusts the survey flow in real-time. Particularly suitable for NPS surveys, customer feedback and employee surveys where higher participation rates and deeper qualitative insights are desired.
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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