Standard measures
Each task produces the measures researchers expect for that paradigm, such as reaction time, accuracy, interference cost, span, recall, or completion time.
Automated scoring
Cognitive test scores without rebuilding scoring rules
ConductCognition computes standard cognitive task measures automatically, giving research teams consistent score tables for browser-based studies.
Research workflow
Ready for study operations
Standard task measures
Automatic session scoring
Study-ready result tables
Less manual scoring work
Consistent scoring rules
Scoring uses the same rules across sessions, which reduces spreadsheet mistakes and keeps the study easier to document.
Built for exports
Computed scores are shaped for review, CSV export, and later analysis instead of being trapped inside individual task screens.
How it helps
Built around the researcher workflow
01
Choose tasks
Build a battery from public-domain cognitive paradigms like Stroop, Flanker, Digit Span, Trail Making, and PVT.
02
Collect sessions
Participants complete the battery in a browser with instructions, practice, and task flow handled by the app.
03
Score automatically
The platform computes each task's standard outputs after completion.
04
Review and export
Researchers review results in the dashboard and export scored rows for analysis.
What kinds of scores are generated?
Scores depend on the task. Examples include mean reaction time, accuracy, lapse counts, Stroop or Flanker effects, digit span, recall counts, completion time, and error counts.
Does this replace investigator judgment?
No. The platform computes task outputs so researchers can analyze them. Study design, exclusion rules, interpretation, and reporting remain investigator responsibilities.
Can I still access raw data?
Yes, paid plans support trial-level export for teams that want to inspect, model, or rescore sessions.
Why is automated scoring useful for small labs?
It removes repetitive scoring setup and lets small teams spend more time on recruitment, quality checks, and analysis instead of rebuilding task-specific spreadsheets.
For academic research teams