Researcher assumptions
Domain expertise can make unintended assumptions in question wording harder to notice.
CogBias for Academic Research
Protect research qualityat the question level.
Systematically identify cognitive bias in survey instruments and create clearer questions for rigorous, reproducible research.
Built for professors and professional researchers.
CogBias analysis
Survey question
Don't you agree that this solution would improve your experience?
Leading question
The wording signals that agreement is expected.
Suggested revision
How, if at all, would this solution affect your experience?
Question improved
Intent preserved
The challenge
Instrument bias can quietly influence an entire study.
Subtle framing and wording effects can alter participant responses, complicate interpretation, and weaken the validity of otherwise rigorous work.
Inconsistent review
Manual instrument review may vary across researchers, labs, and projects.
Downstream consequences
Question-level problems may surface only after recruitment and data collection are complete.
Systematic instrument review
Add a consistent bias check to your methodology.
CogBias supports researchers with structured detection, contextual explanations, and revision recommendations.
Check our our team pricing01
Analyze
Evaluate questions against a structured knowledge base of cognitive biases and survey-design risks.
02
Validate
Review bias classifications, explanations, and potential effects in the context of your research goal.
03
Document
Use improved wording and consistent review practices across researchers, instruments, and studies.
The result
Better questions create better evidence.
- More consistent instrument-development workflows
- Clearer justification for wording decisions
- Reduced risk of preventable response bias
- Stronger survey validity and reproducibility
Bring structured bias detection into your research workflow.
Improve survey questions without losing the intent of your study.