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testcritic

Prolific vs Maze

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

From $8 per participant/hour minimum incentive, plus platform fee

Paid

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

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.

Maze has withdrawn public pricing — its pricing page is now a feature-comparison table where every paid tier resolves to a form, so the Starter figures quoted by third-party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.

Free tier

No subscription; pay per participant.

Free plan with a limited number of studies and responses per month.

Open source

Self-hostable

No-code authoring

Languages

Codeless
Codeless

Platforms

Web
WebiOSAndroid

Fits teams

Solo / side projectStartupScale-up / mid-marketEnterprise
StartupScale-up / mid-marketEnterprise

Adoption

Widely used

Prolific · since 2014

Widely used

Maze · since 2018

Strengths

  • Notably better data quality than generic survey panels.
  • Fine-grained prescreening across hundreds of demographic attributes.
  • No subscription — pay only for what you run.
  • 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.

Limitations

  • 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.
  • 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.

Best for

Survey-based and quantitative studies where data quality matters and budget is limited.

Product and design teams validating flows early and often.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.