Research data quality
Know which cognitive test results are ready to trust
ConductCognition gives research teams a study-level quality monitor for remote testing: valid results, flagged sessions, common reasons, participant completion status, and export-ready quality context.
Quality monitor
Memory follow-up study
13
Valid
4
Review
7
Invalid
What researchers see
Quality signals that make remote data easier to review
Valid, needs review, and invalid result counts
Fullscreen exits and app switching during tests
Omitted responses and low-accuracy sessions
Participant-level completion status
Test-by-test quality breakdowns
Quality reasons included in exports
01
See study health
Review valid results, flagged sessions, and common collection issues from one study-level dashboard.
02
Understand why
Plain-language quality reasons explain whether a result needs review because of device conditions or participant behavior.
03
Act before analysis
Use participant and test-level summaries to decide when to follow up, repeat a task, or keep collecting.
04
Export context
Each score export includes quality status and the main reason a result was flagged, so analysts keep the review context.
For funded research teams