Pricing thresholds and feature prioritization just got faster to read. AI-generated insights are now available for KANO and Gabor Granger question types - surfacing the most meaningful patterns automatically, so you spend less time interpreting charts and more time acting on what they tell you.
AI insights for KANO and Gabor Granger
Group saved filters for significance testing on export
Define exactly which groups should be tested against each other - and let the export do the rest. You can now organize saved filters into named groups directly within the raw data export, so significance testing reflects the comparisons that actually matter to your analysis.
- Structured comparisons: Set up groups like buyers vs. non-buyers or dog owners vs. non-dog owners - and name each group so it appears clearly labeled in your export.
- Flexible grouping: Add the same saved filter to multiple groups, giving you full control over how your segments overlap.
- Scale without chaos: Create up to 30 groups per export, keeping even the most complex studies organized and error-free.
- Reflected in your CSV: Group names appear directly in your export file, so your data is ready to share and interpret from the moment you download it.
Sort results when a split is applied
Sorting is now available even when a split is active - so your most important answers always stay front and center, no matter how you cut the data.
