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Analysing open text answers

Overview of the tools you can use to analyse open text feedback.

Open text questions are a great way to get deeper insights from your respondents. They give people the freedom to explain their thoughts in their own words - but analysing those responses can be time-consuming. That’s why we offer several powerful tools to make open text analysis easier and faster.

AI Summary

Our AI summary generates a 3–5 bullet point overview of the key themes in your open text responses. It’s especially useful for longer, more detailed responses where you're looking for a qualitative summary of themes, rather than a quantitative breakdown. The summary adjusts to any filters or waves you’ve applied and is easy to copy and share.

Use it when you're working with longer responses and want a fast, high-level understanding of what’s being said.

Keyword Analysis

Clicking Create keywords opens a Compass board with a prompt sent automatically — so you can dive straight into your analysis and ask follow-up questions to dig deeper.

Compass surfaces the most mentioned words and themes in your open text responses, including a word cloud view for quick visual insights. Compass can also merge keyword or you can always edit keywords manually.

You can also define your own tags for open text responses and use these in Split-by charts or crosstabs. This lets you compare what's top-of-mind across different groups or track specific themes like unaided brand awareness over time.

Use it when you need custom, detailed analysis—especially across time or demographics.

Sentiment Analysis

You can see the sentiment analysis on for any open text question. It classifies responses as positive, neutral, or negative—helping you understand the emotional tone of the feedback.

Use it when you're interested in the overall mood or tone behind the answers.

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