Every example below is rendered by the same report components the product uses for real studies — model-fit banners, executive summaries, utilities charts, pricing curves, and cross-tabs — computed live from small sample datasets. No screenshots, no retouching.
Everything on this page is labelled Sample data: the numbers are illustrative datasets, not client results. Base sizes (n=) are shown on every example, the same way the product shows them.
See the workflow
Follow the path from study design through quality review and stakeholder handoff. These visuals are illustrative; availability labels and method limits reflect the current product.
Build the instrument, preview the mobile experience, and resolve readiness issues before fielding.
Move from a research question to a respondent-ready study without losing method or accessibility checks.
See how studies run
Review price ranges, segment differences, offer comparisons, and the caveats that qualify each finding.
Give product, finance, and go-to-market teams one evidence trail for the launch decision.
Explore pricing research
Inspect completion, attention, duplicate, timing, and segment signals without silently rejecting respondents.
Make exclusions reviewable and keep the impact of every quality decision visible.
Review quality controls
Bring recommendations, evidence, segment comparisons, caveats, approval state, and export controls together.
Help stakeholders act without detaching a recommendation from its method, sample, or uncertainty.
See sample outputs
Review specialist fit, conflicts, availability, request status, and the source trail around each contribution.
Keep expert judgment distinct from population evidence while preserving human review and consent choices.
Explore expertise workflowsA choice-based conjoint study for a meal-kit subscription. This is the same model-fit banner, executive summary, and part-worth utilities chart that appear on the product's shareable findings pages — rendered live from a sample dataset.
Based on 214 respondents · HB estimation · Generated from analytics payload
Sample dataset · n = 214 respondents · experimental HB output · illustrative model fit R² = 0.71, holdout hit rate 66%. Figures describe this sample dataset only; they do not certify method validation.
A Price Sensitivity Meter for a team analytics add-on, priced per workspace per month. The four cumulative curves and their intersection points (PMC, OPP, IDP, PME) come straight from the product's Van Westendorp report component.
Sample dataset · n = 186 respondents · four price questions per respondent · acceptable range $17.40–$22.50. Figures describe this sample dataset only.
A best–worst scaling (MaxDiff) prioritization of eight mobile-banking features. These illustrative normalized preference shares compare items within this sample. They are not choice-count ratios or purchase forecasts.
Sample dataset · n = 203 valid respondents · each respondent completed 10 best–worst tasks. Figures describe this sample dataset only.
A quarterly NPS read broken down by plan tier, using the product's cross-tabulation table. Counts are shown per cell; NPS per tier is % promoters minus % detractors.
Scroll horizontally to view all comparison columns.
| Free | Starter | Professional | Enterprise | |
|---|---|---|---|---|
| Promoters (9–10) | 38 | 52 | 61 | 49 |
| Passives (7–8) | 41 | 38 | 27 | 21 |
| Detractors (0–6) | 33 | 24 | 14 | 14 |
Sample dataset · n = 412 responses · smallest tier base n = 84 · product percentage guards suppress bases below 15 and flag 15–29 as low-base. Figures describe this sample dataset only.
Results move out of the platform through clearly scoped export paths — each one labelled with its current availability.
Export structured response data for spreadsheet and BI workflows.
Generate formatted report outputs with charts and findings.
Export statistical-package-ready files.
Share presentation-ready or branded stakeholder outputs.
Why sample data?
We do not publish client results, and we do not dress up mock numbers as case studies. These datasets exist so you can judge the actual deliverable — the charts, the caveats, the base-size discipline — before you field a single question. Inside the product, demo datasets carry the same kind of explicit labelling.
Pricing, prioritization, product configuration, satisfaction — a decision-first map of every method behind the examples above.
Cross-tabs, significance testing, base-size guards, and export paths — the reporting layer these sample results are rendered with.
Sample sizes stay visible, thin bases are flagged, and caveats ship next to the numbers. See the standards these examples follow.
Start free with a demo dataset, pick a template, and see your own results in these same reports.