Use cases

Buyer jobs tied to RAADZ study starters

Each job maps to methodology-led starters in the workspace: peer-choice for market perception, own-choice comparison for private preference on the same tasks, and reporting built around alignment and divergence. This is not a generic survey template library.

Concept, offer & packaging

Which direction should we advance, and will it read the same way in-market once norms and shelf context apply?

Why RAADZ fits

Peer-choice surfaces market perception of likely winners; own-choice comparison calibrates private preference on the same stimuli. Alignment vs divergence tells you whether to scale, iterate, or re-test before production bets lock.

What you get

Side-by-side views, segment cuts, and stakeholder-ready narratives grounded in the RAADZ Method, not a single flattened winner score.

Message, creative & claims

Which message actually moves people, and which one do they believe ‘people like us’ would rally behind?

Why RAADZ fits

Creative testing often confuses socially easy picks with motivating ones. Peer-choice keeps market perception visible; own-choice comparison shows where those stories split before media and claims work hardens.

What you get

Structured comparisons across messages or claims with clear flags where visibility or norms likely shape self-report.

Pricing & value framing

Is resistance personal, or do respondents believe the broader market will not adopt at that level?

Why RAADZ fits

Peer-choice helps separate private willingness from beliefs about wider adoption. That supports value narrative, tiers, and offers when price is both personal and reputational.

What you get

Diagnostics that pair private preference with perceived market behavior, with proportional caveats for finance and product marketing.

Competitive brand preference

Where do we win on consideration and preference, and is that win about personal pull, perceived mainstream choice, or both?

Why RAADZ fits

Run competitive sets with peer-choice at the core; own-choice comparison exposes when a brand looks like the market’s pick but is not personally preferred, or the reverse.

What you get

Preference and consideration readouts tuned for strategy workshops and tracker design, not generic share charts alone.

Brand trust & relevance snapshot

How do buyers see us, and how do they think others see us?

Why RAADZ fits

Separate private association from perceived category or public-facing perception. Especially useful for positioning, recovery narratives, and hypotheses for the next wave.

What you get

Comparison maps and summaries that brief brand and communications leads with clear alignment vs divergence language.

Naming screen

Which names survive legal and strategy filters, and which ones people believe will actually win in-market?

Why RAADZ fits

Shortlists benefit from the same disciplined pairing: market perception of likely adoption next to private preference, before you commit creative and trademark spend.

What you get

Ranked, comparable reads across a controlled set of candidates with divergence callouts for downstream qual or validation.

Feature prioritization

What should we build, and what do people believe peers would prioritize?

Why RAADZ fits

Roadmap bets need both desirability and beliefs about normative demand. Peer-choice is primary for perceived market behavior; own-choice comparison shows where personal appeal does or does not match.

What you get

Ranked comparisons with divergence flags for product, design, and marketing alignment before commitments harden.

Perception-sensitive topics

Where self-report may be incomplete, how do we still learn responsibly?

Why RAADZ fits

Peer-choice changes elicitation for market perception; pairing with own-choice on the same tasks keeps interpretation grounded, auditable, and proportional.

What you get

Careful summaries that highlight hypotheses and next validation steps, without overclaiming ‘true preference’ from a single lens.

Public opinion & policy stance

How does personal stance relate to expectations about public mood or constituency behavior?

Why RAADZ fits

When the decision depends on both private views and beliefs about broader sentiment, structured peer-choice alongside own-choice comparison supports policy and communications planning.

What you get

Wave-ready tables and narratives tuned for teams who need defensible, stakeholder-facing reads.

Exploratory programs

We need direction before we fund a larger program, without drowning in novelty charts.

Why RAADZ fits

Use divergence patterns to prioritize what to validate next: commercially focused follow-up or qual, not exploration for its own sake.

What you get

Short, decision-oriented readouts with suggested tests or depth work: enough to support the next bet without pretending to replace it.

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