Anchor one design decision
Define the specific study, screen, flow, or content decision for the Prototype Fidelity Selector.
Free MVP Design / UX / UI tool
Recommends paper, low, medium, or high fidelity based on learning goals and implementation risk.
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Enter evidence from one design, workflow, study, or audience. The result is calculated locally in your browser.
Your calculated result
Planning score
Define the specific study, screen, flow, or content decision for the Prototype Fidelity Selector.
The method uses prototype learning question, learning complexity (0–100), visual decision risk (0–100), interaction risk (0–100), stakeholder communication need (0–100) rather than generic rating questions.
Use the generated structure or calculation as a draft, then validate the weakest evidence with representative users.
It uses prototype learning question, learning complexity (0–100), visual decision risk (0–100), interaction risk (0–100), stakeholder communication need (0–100) to produce an input-linked UX output, evidence signal, and next action.
No. It structures supplied evidence and planning assumptions. Validate important decisions with representative users, assistive technology, source data, and qualified review.
Yes. Every entered quantity, bounded choice, or written evidence field changes the calculation, structured output, explanation, or recommendation.
No. The calculation runs in your browser. Do not enter participant names, recordings, credentials, or other sensitive information.
| Capability | MVPHub | Microsoft Excel | Airtable |
|---|---|---|---|
| UX-method-specific inputs | ✓ | — | — |
| Transparent input-linked result | ✓ | — | — |
| Weakest-evidence next action | ✓ | — | — |
| No formula or base setup required | ✓ | × | × |
Prototype Fidelity Selector provides a focused browser-based result. Microsoft Excel and Airtable can be configured for related work; this comparison does not assess pricing or overall capability.