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testcritic

Maze vs Great Question

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 tier

From $129 per seat/month (self-serve; $1,290/year annually)

Free tier

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Maze has withdrawn public pricing — its pricing page is now a feature-comparison table where every paid tier resolves to a form, so the Starter figures quoted by third-party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

Self-serve is $129 per seat/month, or $1,290 a year paid annually; enterprise is quoted. Recruitment from external panels is billed on top of the subscription.

Free tier

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

Free trial rather than a lasting free plan.

Open source

Self-hostable

No-code authoring

Languages

Codeless
Codeless

Platforms

WebiOSAndroid
Web

Fits teams

StartupScale-up / mid-marketEnterprise
StartupScale-up / mid-marketEnterprise

Adoption

Widely used

Maze · since 2018

Emerging

Great Question · since 2020

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.
  • One workflow instead of separate recruiting, scheduling, testing and repository tools.
  • Recruits from your own CRM, which reaches real customers rather than panel participants.
  • Handles incentive logistics.

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.
  • Breadth means individual modules are less deep than specialists.
  • Smaller vendor than the enterprise incumbents.
  • Own-customer recruiting needs clean CRM data to work.

Best for

Product and design teams validating flows early and often.

Research-ops teams consolidating a fragmented toolchain.

All of these integrate with: Slack.

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