All survey artifacts are ranked by AI-based "Eureka Score" that accounts for factors like metrics, relevance and "surprisability".

Each survey finding has an AI context data type and category and a corresponding chart to ground researchers in the question.

All question data is automatically converted into thousands of "finding" insights in written form.

Findings are arranged to be as digestible as possible and can be selected for export within any view.

Every permutation of demo + question crosstabs are calculated beforehand and presented as findings.

Crosstabs display stat sig finding counts and are easily filterable by questions, demos or categories.

Automated stat tests are performed for all findings to compare crosstabs with others.

The stat tests are well fit based on the data type of the demo and the question to reduce statistical error.

Pairwise tests and then false insight discovery adjustments applied for comparing answers with each other.

Comparable crosstabs also go through automated regression models to determine the predictability of intersecting answers.