Leading Question Bias
Questions that suggest a particular answer or contain assumptions.
“Don’t you agree that our product is easy to use?”
Biases CogBias helps detect
Identify cognitive biases that compromise survey quality before they compromise your results.
Framing Effect
Language that frames a topic positively or negatively before asking.
“How would you rate our award-winning product?”
Confirmation Bias
Questions structured to confirm pre-existing beliefs.
“How has our improved platform helped your workflow?”
Social Desirability Bias
Questions that pressure respondents toward socially acceptable answers.
“Most responsible people recycle. Do you?”
Loaded Language
Emotionally charged or value-laden words that influence responses.
“How concerned are you about this disastrous policy?”
Double-Barreled Questions
Questions that ask respondents about two different things at once.
“How satisfied are you with our speed and design?”
From question to recommendation
How the system works
A structured pipeline that transforms raw survey questions into actionable recommendations using our patent-pending technology.
- 1
Input Text
Survey question or feedback prompt
- 2
Bias Knowledge Base
Structured ontology of cognitive biases
- 3
Candidate Generation
Retrieve relevant bias hypotheses
- 4
Multi-Cue Scoring
Calculate presence likelihood
- 5
Coherence Reasoning
Validate conceptual consistency
- 6
Utility Prioritization
Rank by goal and context
- 7
User-Facing Recommendation
Top-K biases and improved alternatives
Built responsibly
Security you can build on
Thoughtful data handling and enterprise-ready protections are built into every layer of CogBias.
Privacy First
We process only the text you submit and do not train models on your data.
Encryption
Data is encrypted in transit using TLS and protected while at rest.
Compliance Ready
Designed to support SOC 2, GDPR, and enterprise security requirements.