Skip to content
English
  • There are no suggestions because the search field is empty.

Topic Breakdown / Heatmap 

Compare topics across segments, brands, or regions to quickly identify trends and significant differences. 2/2

The Topic Breakdown / Heatmap is a powerful visualization tool that helps you compare brands, segments, or regions across key topics. With color intensity and significance indicators, it makes spotting trends in large datasets simple and effective.


 

Key Components

CleanShot 2025-07-21 at 16.04.13@2x

  1. Rows → Represent topics (e.g., Customer Service, Pricing)

  2. Columns → Represent segments, brands, or regions (e.g., Brand One, Germany, USA)

  3. Cell values → Show the % of responses that mention a specific topic

  4. Color intensity:

    • 🟦 Light blue = lower mention %

    • 🔷 Dark blue = higher mention %


 

Statistically Significant Differences

One of the most valuable features of the Heatmap is its ability to highlight statistically significant differences using yellow boxes. These highlight where a topic is mentioned significantly more or less in one segment versus others.

CleanShot 2025-07-21 at 17.55.32@2x

Example:

If Customer Service is mentioned by:

  • 40% of respondents in Brazil, and

  • 81% in the USA →

    → This difference is flagged as significant because it's unlikely to be due to chance.

For clearer, side-by-side comparison, you can switch to a bar chart view:

  • Each bar = topic frequency per segment

  • A ★ star indicates a statistically significant difference (just like yellow boxes in the heatmap)


 

Add Sentiment to Your Heatmap

Toggle sentiment filters to explore positive, neutral, or negative sentiment per topic and segment.

CleanShot 2025-07-21 at 17.50.24@2x

  • Spot strengths → Topics with high positive sentiment

  • Identify weaknesses → Topics with high negative sentiment

  • Compare across regions → See how brand perception shifts by location

Example:

Customer Service in Germany is mentioned in 12% of responses, mostly with negative sentiment, suggesting potential service issues in that region.


 

🎥 Want a Quick Walkthrough?