Maze is a rapid user research platform that allows product and design teams to test prototypes, run usability studies, conduct surveys, and validate design decisions with real users — directly integrated with Figma, Sketch, and other design tools. It compresses the user research cycle from weeks to days by enabling unmoderated testing at scale.
Product Overview
Maze's core value is speed: traditional moderated user testing requires recruiting participants, scheduling sessions, conducting interviews, and analysing recordings — a process that takes weeks and limits how often teams can validate decisions. Maze's unmoderated testing approach allows teams to publish a prototype test that hundreds of users complete in their own time, generating quantitative task completion data alongside qualitative open-ended feedback within 24–48 hours. Its Figma integration is seamless — designers import their prototype directly from Figma into Maze with one click, define tasks and success criteria, and launch a test without any re-creation of the design. Maze's analytics dashboard presents task completion rates, time-on-task, misclick rates, and heatmaps of where users clicked — giving teams statistically significant data to validate design decisions with confidence. For qualitative research, Maze's card sorting and tree testing tools help teams validate information architecture decisions before building.
Key Features
- Prototype Testing: Import Figma or Sketch prototypes directly and test with real users — unmoderated task completion testing at scale.
- Task Analytics: Measure completion rates, time-on-task, and misclick rates — quantitative data to validate design decisions with confidence.
- Click Heatmaps: See exactly where users click on each prototype screen — identify confusion and unexpected navigation patterns instantly.
- Card Sorting & Tree Testing: Validate information architecture and navigation labels with users — ensure the product structure matches user mental models.
- Panel Access: Recruit from Maze's own user panel if you don't have your own research participants — launch studies without existing audience.
Best For
Product managers and UX designers at technology companies that want to run rapid, unmoderated user research studies — validating prototypes, testing information architecture, and gathering user feedback without the scheduling overhead of moderated testing.
Pricing
Free (1 study/month). Starter: $99/month. Team: $249/month. Organisation: custom. Free trial available.
Key Integrations
Figma, Sketch, InVision, Marvel, Notion, Jira, Slack, HubSpot, Segment, Zapier
Pros
- Figma integration enables prototype testing without any asset re-creation
- Unmoderated testing compresses the research cycle from weeks to 24–48 hours
- Quantitative task completion data provides statistical confidence that qualitative interviews cannot
- Built-in panel removes the participant recruitment bottleneck for teams without existing audiences
Cons
- Unmoderated testing cannot probe unexpected user behaviour with follow-up questions — moderated research still required for complex insights
- Panel quality varies — specialist or enterprise audiences may require additional recruitment effort
- Free tier is limited to 1 study/month — meaningful research requires a paid subscription
RevOps Jobs-to-Be-Done
- Rapid Prototype Usability Testing — Test Figma or InVision prototypes with real users by sending a Maze test link — collecting task completion rates, misclick rates, and time-on-task without scheduling moderated sessions. KPI: Usability issues discovered before development saves 40× the cost of post-launch fixes
- Preference Testing and Concept Validation — Run preference tests showing two or more design options side-by-side, collecting quantitative preference data and qualitative reasoning from target users in hours. KPI: Design team validates concept direction in 48 hours vs. 2–3 week moderated research cycle
- Tree Testing for Navigation and Information Architecture — Test navigation structures without visual design by having users find specific content through your information architecture — identifying findability issues before building the interface. KPI: Navigation rearchitecture validated before development; post-launch findability issues reduced 60%
How It Fits Your Stack
Primary system of record: Design tools (Figma, InVision, Marvel) — Maze integrates with design tools for prototype import
Key integrations: Figma, InVision, Marvel, Notion, Slack, Jira
Data flows: Prototype imported from Figma → Maze test created → link distributed to test panel or own users → results collected → reports generated → insights shared with design and product teams
Security & Compliance
- SSO / SAML: SAML 2.0, Google OAuth
- RBAC / permissions: Yes
- Audit logs: No
- Certifications: SOC 2 Type II, GDPR
- Data residency: EU
Implementation & Ownership
- Time to first value: Same day — import Figma prototype, create test, launch
- Implementation complexity: Low
- Typical owners: UX Designer, UX Researcher, Product Manager
Free plan available for one project; built-in participant panel for finding test users; strongest for product and design teams doing regular iterative usability testing
Proof & Buyer Signals
Ratings: G2: 4.5/5 (250+ reviews); Capterra: 4.6/5 (100+ reviews)
What buyers praise:
- Fastest prototype testing tool
- Figma integration is seamless
- Good quantitative usability metrics
Common complaints:
- Panel costs can add up
- Advanced analytics require paid tier
- Less suited for concept exploration vs. task-based testing
Often Compared With
- UserTesting — UserTesting has video interviews with moderated testing; Maze is fully unmoderated and faster for quantitative usability metrics
- Sprig — Sprig collects research inside live products from real users; Maze tests prototypes before building — different stages of the design research lifecycle
- Dovetail — Dovetail is a research repository for storing and analyzing insights; Maze is the testing platform that generates the research data
