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The AI-driven "so what" for survey research1-10 Employees
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The AI-driven "so what" for survey research
Steeped AI’s (steeped.ai) main priority is to enhance and speed up the discovery of insights in surveys within an interactive web application while maintaining analysis rigor. There are three concepts that they used to do this. Data Science: all comparison metrics in the study undergo well-fit a. Inference tests b. Pairwise tests c. False discovery adjustments to reduce errors due to chance, and questions are segmented with ML. Data Engineering: raw survey data is transformed into exportable, word-based “findings” with metrics (weights included) and all crosstabs are calculated automatically. AI Discovery: All survey “findings” are ranked by an AI-based “Eureka Score” so the most interesting insights can be found on top.
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Nathan Beddome
Avatar for Nathan Beddome
Data engineer and analytics lead with 12+ years building large-scale data pipelines, reporting systems, and AI-powered products at Google and Steeped AI.
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