Every VETT mission runs an industry-standard research framework. The methodologies themselves — Van Westendorp pricing, MaxDiff feature prioritization, NPS, brand-health funnel — are peer-reviewed in the academic literature. VETT runs those frameworks on synthetic respondents with deterministic analysis, which is what delivers a directional read in minutes.
Single-concept monadic acceptance for product ideas before you build.
Each persona evaluates the concept on uniqueness, relevance, believability, and purchase intent. Output: composite acceptance score, persona-level objections, demographic cuts.
Monadic concept acceptance — borrowed from BASES / ASSESSOR with synthetic-respondent simulation.
Compare 2–5 concepts head-to-head with rotation balancing.
Each persona evaluates one concept at a time in randomized order. Output: per-concept scores, head-to-head winner, demographic-segmented preference.
Sequential monadic with per-respondent randomized concept order - standard concept-comparison protocol.
Test ad copy, visuals, and messaging before you spend on media.
Per-ad scoring on attention, relevance, intended message, brand fit, and call-to-action clarity. Output: KPI panel, channel/format fit, message-association strength.
Ad effectiveness diagnostics — Millward Brown LinkPlus / System1-style framework adapted for synthetic personas.
Frame-by-frame attention prediction + emotion taxonomy on video and static creative.
Per-frame analysis of 24 emotions (Plutchik 8 + 16 nuanced), attention decay curves, distinctive brand asset score, channel-specific predicted dwell time, platform fit.
Attention prediction scored against published industry attention norms; emotion taxonomy extending Plutchik's peer-reviewed framework.
Exposed vs control incrementality across 9 brand-health KPIs.
Exposed vs control split; lift is measured from the two cells by deterministic analysis, not prescribed. Industry-standard 9-category framework.
Incrementality study with exposed/control simulation — based on Nielsen Brand Effect / Kantar Brand Lift methodology.
Find the price point that maximizes revenue.
Van Westendorp Price Sensitivity Meter (PSM) for acceptable price range + Gabor-Granger for direct willingness-to-pay distribution. Output: optimum price point, indifference price, marginal cheap/expensive thresholds.
Van Westendorp (1976) + Gabor-Granger (1965) — peer-reviewed pricing-research methodologies.
Let your audience tell you what to build next.
MaxDiff (best-worst scaling) for feature prioritization + Kano model for must-have / performance / delighter classification. Output: ranked feature list, Kano quadrant chart, must-have threshold.
MaxDiff (Sawtooth) + Kano model (1984) — gold-standard feature-prioritization frameworks.
NPS + CSAT + CES across any touchpoint.
Net Promoter Score (Reichheld), Customer Satisfaction Score, Customer Effort Score — all three on a single mission with touchpoint anchoring + recency window control.
Reichheld NPS (2003) + CSAT + CES — industry-standard satisfaction trio.
Benchmark against competitors across attribute dimensions.
Per-brand awareness funnel (aware → consider → prefer → recommend), attribute battery scoring across 6-12 attributes, competitive heatmap, share-of-voice estimate.
Brand health tracking — Kantar BrandZ / Millward Brown attribute-equity framework.
Test names, taglines, and positioning across audience.
Three test types: monadic (single name), paired comparison (head-to-head), or TURF reach (which combination of names captures the most audience). Output: per-name memorability, fit, and reach scores.
Monadic + paired comparison + TURF (Total Unduplicated Reach and Frequency) — established naming-research toolkit.
Why customers leave and what would bring them back.
Driver tree: surfaces the top reasons for churn ranked by mention rate + impact. Win-back: per-segment offer testing (discount, feature, service tier) to identify what would re-engage churned users.
Churn driver-tree analysis + win-back offer testing — combined retention-research framework.
K-means segmentation across psychographic + behavioral attributes.
Generate a population, run K-means clustering on the response matrix, surface 3-5 segments with prototype personas, decision drivers, and addressable size.
K-means clustering segmentation on psychographic and behavioural attributes, run when a study has at least 50 respondents.
Validate demand before expanding to a new geography.
Multi-market routing: per-country persona generation, parallel simulation, cross-market deltas on awareness, intent, willingness-to-pay, and category fit.
Combined market-entry framework with country-specific persona conditioning.
Start a mission and the setup advisor will pick the right one based on your research question.
Start a mission