Methodology
The RAADZ Method: peer-choice first, own-choice comparison where it sharpens the read
A patented, proprietary approach: peer-choice captures market perception; own-choice comparison, on the same tasks, captures private preference. The product standardizes alignment and divergence so teams see where self-report holds up, and where it may be filtered or incomplete.
In one sentence
RAADZ compares private preference (own-choice) with market perception (peer-choice) on the same tasks, helping teams see where self-report may hold up, and where social visibility, norms, or privacy concerns may distort it.
Peer-choice elicits market perception: what people like them would choose. That surfaces perceived norms, expected winners, and assumptions that do not always appear in private self-report alone.
Own-choice still matters: it is the disciplined lens for private preference on the same tasks. In many categories, people may soften self-report, avoid seeming unusual, protect privacy, or project what feels normal or acceptable.
RAADZ standardizes the pairing. When peer-choice and own-choice line up, teams gain confidence. When they diverge, teams get a structured signal that social desirability, false consensus, self-presentation, perceived stigma, or other effects may be shaping the read. That is worth validating before major spend.
Alignment vs divergence
When peer-choice and own-choice align, you often get a cleaner signal: private preference and market perception are pointing in the same direction.
When they diverge, that gap can be the most valuable output. It may signal social desirability bias, false consensus, fear of judgment, privacy concerns, self-presentation, or a mismatch between what feels personally appealing and what seems likely to win in the market.
RAADZ standardizes the pairing so those reads are repeatable wave to wave, not a one-off reconstruction in a spreadsheet.
What peer-choice is especially strong at surfacing
- What respondents believe is mainstream, acceptable, or “the one that wins” in the category.
- Gaps between private preference and perceived public or peer behavior, common in visible categories.
- How buyers imagine a target audience choosing, useful when your sample is a proxy for someone else.
Peer-choice is not mind reading and it does not replace good qualitative work. It is a structured way to capture perceived market behavior when direct answers alone may be incomplete, filtered, or overly polished.
Where assistive writing fits
Any writing assistance in RAADZ is secondary. The core value is the RAADZ Method, the response structure, and the comparison between peer-choice and own-choice where configured. Teams should always be able to see what was asked and how the findings were produced.
Where teams reach for this first
- Concept, message, and naming tests where “socially easy to pick” and “personally motivating” are not the same.
- Brand and category work where what people would choose for themselves and what they think others choose diverge.
- Public-opinion and issues research where personal stance and expectations of broader sentiment differ.
- Programs that already run choice tasks and want peer-choice standardized, without inventing a separate, misaligned study.
From fieldwork to decision support
RAADZ pairs question design with analysis and reporting workflows aimed at decisions: what the evidence supports, where it is thin, and which follow-up tests or qualitative work would reduce uncertainty before you commit spend, not chart volume for its own sake.
Methodology-led, not self-report-only
Why teams use the RAADZ Method instead of generic self-report-only tools
Self-report-only tooling
- One lens: self-reported private preference only
- Self-report can reflect social desirability bias, fear of judgment, privacy concerns, or the urge to give the 'right' answer
- Harder to explain when stated preference and real-world behavior do not line up
RAADZ decision support
- Peer-choice captures market perception: what respondents think people like them would choose
- Own-choice comparison on the same tasks shows alignment and divergence with private preference
- Same methodology-led structure wave to wave, so differences are tracked consistently over time
Objections and caveats
Ground rules
Is peer-choice always more informative than own-choice alone?
No. They answer different questions. Own-choice captures private preference. Peer-choice captures market perception: what respondents think people like them would choose. RAADZ is especially useful when self-report may be shaped by social desirability, false consensus, fear of judgment, self-presentation, or privacy concerns.
What does divergence imply?
A structured research lead: norms, familiarity, social visibility, or segment mix may be pulling peer-choice and own-choice apart. It is a reason to investigate and validate, not proof of one explanation.
Can this be gamed by respondents?
Any structured instrument can suffer inattention or strategic answering. RAADZ supports standard quality controls; claims should stay proportional to sample and design.
Field the RAADZ Method on your next wave
Start a free trial in the app, or book a walkthrough to align study design, starters, and rollout with your team.