
Centralized user research and testing platform for evidence-based product decisions.
By Tanmay Verma, Founder · Last verified 20 Jun 2026
In short
Maze — Centralized user research and testing platform for evidence-based product decisions. Best for Design teams conducting prototype usability testing, Product managers validating concepts with quick surveys, UX researchers running mixed-method studies (qual + quant). Free to start; paid plans from $12/mo.
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Maze is a strong choice for teams that need an integrated research platform combining recruitment, testing, and AI analysis. Its AI Moderator and automated reporting save significant time, though pricing may be a consideration for smaller teams. The platform's depth of features—from prototype testing to moderated interviews—makes it a versatile hub for mixed-method research. However, advanced capabilities like AI Moderator and mobile testing are locked behind Enterprise plans, which may frustrate mid-market teams.
Compare with: Maze vs Elicit, Maze vs Paxton AI, Maze vs Marvin User Research
Last verified: June 2026
Maze excels at consolidating the user research workflow: you can recruit from a panel of over 6 million participants, run unmoderated prototype tests, conduct moderated interviews, and generate automated reports with video clips and AI-powered themes—all within one platform. The AI Moderator feature is a standout, conducting structured interviews autonomously and surfacing patterns. Integrations with Figma, Slack, Jira, and Notion make it easy to embed insights into your existing workflow. However, not all features are available on every plan: AI Moderator, mobile testing, and interview studies are gated to Enterprise, leaving Starter and Organization users without these capabilities. Additionally, Maze's panel is strong for common B2C personas but thinner for niche B2B or regulated audiences. The AI-generated themes are fast but can be generic; treat them as starting points rather than finished reports. Maze is best for teams that want an all-in-one research hub and have the budget for an Organization or Enterprise plan, rather than those piecing together free tools like Google Forms and Zoom.
Skip Maze if Skip Maze if you need a free research tool or advanced features like AI Moderator, mobile testing, or interview studies without an Enterprise subscription.
Across the latest 4 updates: 3 feature updates and 1 changelog entry.
Introduced AI Study Builder that generates a complete research study from a simple prompt, including tasks, questions, and targeting criteria.
Increased participant panel from 5 million to over 6 million, with improved demographic targeting filters.
Launched AI Moderator that autonomously conducts structured interviews and surfaces key themes for enterprise customers.
Added mobile app testing capability, allowing teams to test prototypes and live apps on mobile devices.
How likely is Maze to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: June 2026
How we score →Maze is an end-to-end user research and testing platform that connects every research method, team, and stage into one place. It enables product teams to recruit participants, conduct moderated and unmoderated studies, and analyze insights with AI-powered automation. Designed for researchers, designers, and product managers, Maze helps you run prototype tests, usability studies, moderated interviews, surveys, live website testing, and mobile testing—all from a single hub. Specific features include AI Moderator for automated interviews, automated reports with video clips and AI-powered themes, participant recruitment via a panel of over 6 million people, and integrations with tools like Slack and Figma. Maze positions itself as a versatile, scalable platform that turns research into evidence that drives decisions, comparing favorably against point solutions by offering an all-in-one workflow from recruitment to reporting.
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Concrete scenarios for the personas Maze actually fits — and what changes day-one when you adopt it.
You need to validate a new onboarding flow with 50 participants in 3 days.
Outcome: Import Figma prototype, set up tasks and questions, recruit from Maze panel with screener, launch test, and receive automated report with video clips and AI theme analysis within 48 hours.
You want to test two landing page variants with 20 users to decide which to ship.
Outcome: Create a five-second test using live website testing block, share link with your own participants, analyze quantitative stats and qualitative feedback, and ship winner within a week.
You need to conduct 10 moderated interviews with B2B customers and synthesize findings.
Outcome: Use AI Moderator to build discussion guide, schedule interviews via Exchange integration, record and transcribe automatically, and share reports with video highlights across the org.
AI Moderator, mobile testing, and interview studies are gated to Enterprise plans, leaving Starter and Organization users without these advanced features. Maze AI synthesis is fast but can produce generic themes on ambiguous data; treat outputs as starting drafts, not finished reports. The panel is strong for common B2C personas but thinner for niche B2B or regulated audiences compared to UserTesting. Mobile testing arrived later and feels secondary in the web UI. AI features save time but shouldn't replace researcher judgment on study design.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Maze tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo researcher or designer exploring Maze with minimal needs (up to 10 testers/month).
What this tier adds
Starting tier free entry point with 1 user, 10 testers/month, and limited Maze AI; core prototype testing included.
Starter
$99/mo (annual)
Ideal for
Small teams needing regular unmoderated testing with 100 testers/month and full core test types.
What this tier adds
Adds 100 testers/month, all core test types (survey, card sort, tree test), and Maze AI; 50% student discount available.
Organization
Custom (~$12k/yr median)
Ideal for
Growing teams needing 500+ testers/month, panel recruitment, and advanced collaboration features.
What this tier adds
Increases tester limit to 500+/month, adds panel recruitment and advanced reporting; priced custom (~$12k/yr median).
Enterprise
Custom
Ideal for
Large organizations requiring AI Moderator, mobile testing, interview studies, and enterprise security.
What this tier adds
Unlocks AI Moderator, mobile testing, interview studies, volume panel recruitment, SSO/SAML, and dedicated CSM.
The company stage and team size where Maze's pricing actually pencils out — and where peers do it cheaper.
Maze's pricing is best for mid-market to enterprise teams that can afford $99/month (Starter) or custom Organization plans (~$12k/yr). Budget-conscious teams may find cheaper alternatives like UserTesting (per-study) or free tools (Google Forms + Zoom). The Free tier is limited to 10 testers/month and basic features, so it's really just a trial.
How long it actually takes to get something useful out of Maze — broken out by persona, not the marketing-page minute.
A UX researcher can set up a prototype test in under 10 minutes by importing a Figma link and adding tasks. Recruiting from Maze panel may take 1-2 hours depending on targeting. First AI-moderated interview study can be launched in about 20 minutes. Full onboarding for a team (invites, SSO setup) takes under an hour.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Maze, with the specific reason each pairing earns its keep.
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