Study Completion Insights

Quant Copilot now supports analysis of respondent progression across both study-level and block-level metrics, giving researchers greater visibility into participant completion, drop-off, and screen-out behaviour. This makes it possible to see not just whether participants completed a study overall, but where specifically within a study they tend to disengage or get screened out.

This makes it easier to identify friction points within a survey that might be causing participants to drop off partway through. It also helps with optimising study design and the overall participant experience, since researchers can pinpoint exactly where a problem is occurring rather than only knowing that a completion rate is lower than expected, ultimately supporting better completion rates and data quality going forward.