Rep Data Adds Distribution Analysis to ReDem Quality Tool

Standard research protocols rely on removing poor-quality interviews to ensure accuracy, yet the downstream impact of these deletions often remains opaque. Sebastian Berger, head of science for ReDem, notes that teams frequently lack the tools to verify whether cleaning processes shift the narrative of a study. The new capability addresses this by providing a side-by-side comparison of answer distributions before and after quality filters are applied.

Internal analysis of over 12,700 questions revealed significant variance, with some answer options shifting by as much as 11.7 percentage points after cleaning. By surfacing these variations within the ReDem dashboard, the tool enables researchers to identify specific questions that warrant deeper scrutiny. This transparency aims to streamline project reviews, providing a verifiable audit trail that justifies why certain data points were excluded and how those decisions ultimately shaped the reported findings.