Count customer signals or decisions reviewed
Use one recent, representative period and count the actual records, steps, safeguards, or decisions reviewed.
Customer Discovery & User Research
Checks evidence about who recommends, approves, pays for, and can block a purchase.
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Use counts, rates, time, or costs from one stated period. Every numeric input changes the calculation, and the context shapes the explanation.
Your calculated result
Planning score
Use one recent, representative period and count the actual records, steps, safeguards, or decisions reviewed.
Compare supported items with unsupported claims or segment gaps rather than relying on a general confidence rating.
The result shows coverage, gap pressure, and follow-up capacity so the weakest evidence can shape the next action.
It calculates a planning signal from customer signals or decisions reviewed, items supported by behavioural evidence, unsupported claims or segment gaps, and available follow-up capacity.
No. It is a transparent planning estimate or risk signal. Use appropriate statistical analysis and qualified review when formal inference is required.
Use aggregated counts where possible, collect only necessary information, obtain informed consent, and follow applicable privacy and research policies.
Recalculate when the audience, sample, source evidence, method, constraints, or decision changes materially.
| Capability | MVPHub | Dovetail | User Interviews |
|---|---|---|---|
| Decision Authority Validator input-based calculation | ✓ | — | — |
| Formula and assumptions shown immediately | ✓ | — | — |
| Focused next-step guidance | ✓ | — | — |
Decision Authority Validator provides one focused calculation and next step. Dovetail supports broader research analysis and repository workflows, while User Interviews supports participant recruitment workflows.