Confirmation bias
Questions may search for support for an existing design instead of testing it openly.
CogBias for UX Research
Ask without leading.Learn without guessing.
Design research questions that uncover how users actually think, behave, and experience your product.
Built for ux researchers and design teams.
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
Users often tell us what our questions invite them to say.
When a team is invested in a design, assumptions can enter interview prompts and surveys without anyone noticing.
Positive framing
Product language can encourage participants to evaluate an experience more favorably.
Polite responses
Participants may soften criticism when questions create social pressure or signal a preferred answer.
Research with fewer assumptions
Make space for honest user feedback.
CogBias helps UX teams uncover leading language and rephrase questions while preserving the learning objective.
Check our our team pricing01
Detect assumptions
Find language that presupposes success, satisfaction, usefulness, or a particular user behavior.
02
Rephrase neutrally
Turn validation-focused prompts into open questions that welcome positive and negative feedback.
03
Share better evidence
Bring stakeholders findings that more accurately represent the user experience.
The result
Better questions create better evidence.
- More candid usability feedback
- Fewer validation-focused questions
- Clearer evidence for design decisions
- More trustworthy stakeholder readouts
Let users tell you what you did not expect.
Use CogBias to create more neutral UX research questions.