From responses to decision support
How peer-choice-centered design and disciplined comparison help teams move from data tables to clear next questions.
- analysis
- insights
More data rarely solves indecision on its own. Teams stall when dashboards answer “what happened” but not “what we should do next.”
RAADZ treats peer-choice as the spine of the study design, with own-choice as a comparison lens where it adds interpretability. That structure creates natural breakpoints: segments where predicted choice and private preference diverge, items where peer prediction stabilizes while own-choice swings, and hypotheses about social visibility or category norms.
Assistive analysis is there to accelerate synthesis: highlighting those breakpoints, framing caveats, and keeping claims proportional to evidence. The output is meant to support decisions: what to test again, what to deprioritize, and what deserves qualitative follow-up.