Maze vs Prolific
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free tier available
Free tierFrom $8 per participant/hour minimum incentive, plus platform fee
PaidWhat drives the bill
The metric that actually scales your invoice.
Maze has withdrawn public pricing — its pricing page is now a feature-comparison table where every paid tier resolves to a form, so the Starter figures quoted by third-party sites are not verifiable. Panel recruitment is billed separately from the platform subscription.
You set the incentive subject to a fair-pay floor of $8/hour ($12 recommended), then Prolific adds a platform fee — around 42.8% for commercial customers, 33.3% for academic and non-profit. Budget the fee: it is a large fraction, not a rounding error. Still far cheaper than moderated-research platforms.
Free tier
Free plan with a limited number of studies and responses per month.
No subscription; pay per participant.
Open source
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
Maze · since 2018
Widely used
Prolific · since 2014
Strengths
- Test a Figma prototype with real users before building anything.
- Quantitative metrics make results defensible in a product review.
- Usable free tier for evaluation and small studies.
- Notably better data quality than generic survey panels.
- Fine-grained prescreening across hundreds of demographic attributes.
- No subscription — pay only for what you run.
Limitations
- Unmoderated only — you cannot ask a follow-up question.
- Prototype testing measures a happy path, not the messy reality of a live product.
- Bring-your-own-participants works well; the built-in panel is smaller than UserTesting's.
- Recruitment only; you supply the study and the tooling.
- Skewed towards students and younger, online-native participants.
- Not suited to recruiting senior enterprise decision-makers.
Best for
Product and design teams validating flows early and often.
Survey-based and quantitative studies where data quality matters and budget is limited.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.