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Following a human-centered design process approach, Cloud Kicks is preparing a user feedback session for an app that is not performance as anticipated. In which two ways could confirmation bias be avoided? Choose 2 answers
Correct Answer: B,D
Recent Comments (The most recent comments are at the top.)
Zyon - Sep 17, 2025
Correct answers C and D. A. Interview users about the intended use of the product to support the questionnaire creation → ❌ Sounds reasonable, but framing questions around intended use risks steering answers toward what the team already assumes, reinforcing bias.
B. Obtain user feedback to reinforce known assumptions and support design decisions → ❌ This is confirmation bias itself — looking for validation instead of challenge.
C. Diversity feedback by ensuring it features as many unique perspective as possible → ✅ Correct. A wider and more diverse participant pool reduces the chance of bias by surfacing different experiences. 📖 Reference: Trailhead: User Research Basics (importance of participant diversity).
D. Review questions to remove assumptions about issues or problem not supported by quantitative data → ✅ Correct. Neutral, assumption-free questions avoid leading participants. 📖 Reference: NNGroup: Avoiding Leading Questions
Recent Comments (The most recent comments are at the top.)
Correct answers C and D.
A. Interview users about the intended use of the product to support the questionnaire creation → ❌ Sounds reasonable, but framing questions around intended use risks steering answers toward what the team already assumes, reinforcing bias.
B. Obtain user feedback to reinforce known assumptions and support design decisions → ❌ This is confirmation bias itself — looking for validation instead of challenge.
C. Diversity feedback by ensuring it features as many unique perspective as possible → ✅ Correct. A wider and more diverse participant pool reduces the chance of bias by surfacing different experiences.
📖 Reference: Trailhead: User Research Basics
(importance of participant diversity).
D. Review questions to remove assumptions about issues or problem not supported by quantitative data → ✅ Correct. Neutral, assumption-free questions avoid leading participants.
📖 Reference: NNGroup: Avoiding Leading Questions
A & D