Anchor one decision
Describe the real customer, product, or market context for the Experiment Sample Size Estimator.
Free Product-Market Fit tool
Provides a practical sample-size range based on test type, baseline behavior, expected effect, and confidence needs.
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Rate four decision-specific factors. The weighted calculation runs locally in your browser.
Your calculated result
Planning score
Describe the real customer, product, or market context for the Experiment Sample Size Estimator.
Score four tool-specific factors from assumption-only to repeated proof. They contribute 30%, 25%, 25%, and 20%.
The tool calculates a weighted score and turns the lowest-rated factor into a concrete validation priority.
It calculates a weighted 0-100 confidence score from four workflow-specific factors: baseline evidence, expected-effect detectability, confidence requirement, segment representativeness.
Use 1 for an untested assumption and 5 only for repeated, recent evidence from relevant customers. Conservative ratings make the next-step recommendation more useful.
No. It is a structured planning signal based on your inputs, not a substitute for interviews, observed behavior, retention, revenue, or statistically appropriate experiments.
No. The calculation runs in your browser. Avoid entering confidential, personal, or commercially sensitive information.
| Capability | MVPHub | Microsoft Excel | Airtable |
|---|---|---|---|
| Workflow-specific guided inputs | ✓ | — | — |
| Transparent weighted calculation | ✓ | — | — |
| Weakest-signal recommendation | ✓ | — | — |
| No template setup required | ✓ | × | × |
Experiment Sample Size Estimator provides a focused, input-based result. Microsoft Excel and Airtable are general-purpose tools that can be configured for related analysis; this comparison does not assess pricing or overall capability.