An AI-driven survey analysis tool that simplifies survey research with auto crosstabs and compelling, stat-backed insights.
Ranks survey artifacts with a 'Eureka Score' based on metrics, relevance, and 'surprisability', providing context and categorization for each survey finding.
Automatically converts question data into thousands of written insights, which are easily digestible and selectable for export.
Calculates every permutation of demo + question crosstabs beforehand, displaying them with statistical significance finding counts and filterable by multiple criteria.
Automates statistical tests for all findings, including pairwise tests and regression models, to ensure accuracy and reduce error.
Automatically filters survey responses into categories using AI to streamline analysis.
Offers a detailed UX for open end questions, allowing for in-depth qualitative feedback analysis.
Enables exporting of all survey data and metrics in CSV format for further detailed analysis.
Converts raw coded data into readable question and demo answer information, allowing for quick analysis and export.
Transforms open-ended responses into findings categorized by AI, highlighting key respondent information.
Calculates all possible demo and question answer crosstab combinations, emphasizing notable and interesting information.
Provides statistical testing tailored to each finding to ensure accuracy and reduce errors, highlighting significant data relationships.
Allows researchers to select, store, and export findings for further analysis and insights derivation.
Transforms survey data into an interactive web application, providing users with insights and a better experience in understanding their survey results.
Provides clear and easy-to-understand findings for each question and answer, simplifying data outcomes for users.
Automates all crosstab calculations, statistical tests, and generates detailed context charts to streamline survey data processing.
Removes distracting noise from raw data to enable fast, effective analysis.
Researchers can filter data, control sorting, set statistical confidence levels, and select findings to export with AI formatting.