Designing stronger concept tests with peer-choice
A practical checklist for centering predicted choice in concept and message work, and using own-choice as a calibration lens.
- concept testing
- playbook
Concept tests fail for predictable reasons: concepts are too similar, scales are too blunt, or the study captures stated preference without capturing how people think the market will behave.
A disciplined upgrade is to build each forced-choice or ranking task around peer-choice (what respondents believe others would choose) and add own-choice where it sharpens interpretation:
- Peer-choice: Which concept do you think most people in the target audience would choose?
- Own-choice: Which concept would you choose?
When the two align, you have a cleaner story for stakeholders. When they diverge, you have a focused set of follow-up questions: Is the winning concept socially “safe” but not personally compelling? Is an underdog concept seen as niche, or simply unfamiliar?
RAADZ standardizes peer-choice as the methodological core, keeps the comparison consistent across waves, and helps teams summarize divergence patterns without drowning in cross-tabs.