Usability Testing · Reviewed 26 Oct 2026

Maze

AI-powered user research platform for continuous product insights.

from $99 · free tier · maze.co ↗

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Maze at a glance

Overview

01

Summary

The useful answer before the supporting detail.

Maze is an AI-powered user research platform that unifies recruiting, testing, and analysis, helping teams turn research into a system of learning S57. Product teams use it to gather continuous insights across the product cycle, from problem discovery to solution validation S8 S110. It provides practical value by enabling teams to test prototypes, run surveys, and analyze results with research-grade AI, reducing annual research costs by up to 75% S1.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Maze is a user research and testing platform S57.
  • Core purpose: It helps teams continuously learn from real users and make confident product decisions S1 S57.
  • Intended users: User-centric teams, including researchers, designers, and product managers S8.
  • Product scope: A platform that brings recruiting, testing, and analysis together S57.
  • Positioning: Maze positions itself as an AI-powered research platform for continuous insights S8.
  • Claimed distinction: It claims to reduce annual research costs by 75% S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Product teamsValidate prototypes and test ideas with real users to inform product decisions S1.
UX researchersRun qualitative and quantitative research to understand customer needs and market opportunities S1.
DesignersTest design concepts and gather feedback to improve user experience S119.
Marketing teamsMeasure customer satisfaction and test new ideas to refine messaging S19.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Prototype testingTest ideas and prototypes with real users to validate designs S1.
SurveysCreate and run surveys to measure customer satisfaction and gather feedback S19.
Participant panelAccess a global panel of over 6 million participants for recruiting S1.
AI-powered analysisUse research-grade AI to analyze data and generate insights S1.
Maze MCPConnect research data to AI tools like AI modeland ChatGPT for insights S18.
Automated reportingGenerate reports automatically to share findings S1.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
Maze MCPAI interfaceConnects research data to MCP-compatible AI apps like AI model, ChatGPT, AI model, and Copilot for insights S18.
Panel integrationIntegrationProvides access to a global panel of over 6 million participants for recruiting S1.
Community integrationIntegrationAllows connecting your own community for research S1.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free$0 S84Essential prototype testing and surveys S841 study a month, 5 seats S84
Starter$99 per month S84Unmoderated toolkit and recordings S841 study a month, 5 seats S84
EnterpriseContact sales S84Custom study quantities, unlimited seats, moderated and AI-moderated interviews, mobile, card sorting and tree testing S84Custom S84

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
youtube.com225.5customer insights analysis, example of new product development
qualtrics.com111customer insights analysis
kapiche.com112customer insights analysis
ca.indeed.com112example of new product development
qualaroo.com113customer insights analysis
tcgen.com113example of new product development
clootrack.com114customer insights analysis
mitti.com114example of new product development
databox.com115customer insights analysis
diginsights.com116example of new product development

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

13

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 0.4%
MonthSource
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresAI Moderatorhttps://maze.co/
featuresAI Moderatorhttps://maze.co/platform/
featuresVideo stimuli in AI conversationshttps://maze.co/product-updates
featuresYou can now add videos to AI conversations in Maze. Participants watch the full video, then the AI asks what stood out and follows up on how they reacted.https://maze.co/product-updates
featuresProbe the reaction. The AI digs into what people noticed, what message they took away, and how the video shaped their view of the brand.https://maze.co/product-updates
featuresOne setup, two study types. Use the same video in AI-moderated studies and in unmoderated studies with an AI conversation block.https://maze.co/product-updates
featuresRead Morehttps://maze.co/product-updates
pricingContact saleshttps://maze.co/pricing/

These are first-party product claims, not independent measurements of AI-search visibility.

14

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap2 first-page appearances across customer insights analysis, example of new product development

Website intelligence — Collected evidence

Website evidence gaps

  • integrations: no usable public page was collected; verify whether the site publishes this evidence.
  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

15

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Should I Use ItMaze Review 2026: Pricing, Pros & Cons / Should I Use ItGrounded web searchG2, but frequently flag confusing pricing and seek cheaper options for small-scale prototype testing. > “Maze is legit.” Reddit, r/ProlificAc > “Maze is a great UX resea…” ... > “I'm a bit confused by Ma…” Reddit, r/UXDesign (pricing thread)
ToolradarMaze Reviews, Pricing & Alternatives (2026) - 4.6/5Grounded web search## Ratings Across the Web 4.6(121 reviews) Maze holds an aggregate rating of 4.6 out of 5 from 121 reviews across G2, last checked September 17, 2026. G2 121 reviews 4.6/5 Ratings aggregated from independent review platforms. Learn more
CheckThatMaze Pricing 2026: Total Cost & Competitors ComparedGrounded web searchMaze holds a 4.5/5 on G2 from 111+ reviews and a 7.9/10 on TrustRadius from 38 reviews, with Software Advice scoring its value for money at 4.13/5. ... - Lower cost per test at scale: Users report that Maze made usability testing accessible at scale while
My AI GuideMaze.co Review 2026: AI User Research and Prototype TestingGrounded web searchit is the cleanest end-to-end research platform for product teams who want unmoderated ... . The Figma sync and tester panel mean a designer can run a real usability test on a Tuesday afternoon and have a stakeholder-ready report by Wednesday morning.
AI Industry ReviewsMaze Review · AI Industry ReviewsGrounded web search7.8/10 Overall Score Maze is a strong research pick when rapid prototype testing and continuous discovery matter more than a pure insights repository. Breadth for product teams earns Recommend in this peer set.

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyItaú Unibancocustomer case study — Itaú Unibanco partnered with Maze to enhance their usability testing process, scaling from dozens to hundreds of annual studies and reducing time-to-insight by 75%. (Customers / Maze)
Case studyBrazecustomer case study — In this case study, we’ll show you how the design team at Braze used Maze to validate new designs of their SMS product offering through A/B testing. (How Braze validated designs using A/B testing / Maze Creators)

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

16

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownership> We have incorporated Maze into our product development process to allow our users to drive our product rather than us driving our assumptions.source
Contact and supportYou should also consider recruiting research participants to test the product on different devices. Paige explains: “If prior research has shown that behavior differs greatly between those who use a product on their phonsource
Legal and privacyFor more information on how Google's third-party cookies operate and handle your data, see: Google Privacy Policysource
Security and complianceEncrypted transmissionsource
Uptime and status pageNot published on the collected pages.—

Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

17

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
What is UX Design and What Do UX Designers Do? A Guide to User Experience DesignGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
10 Steps to Create a Usability Testing Plan / MazeGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Essential Elements to Create a UX Research Plan / MazeGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Building the future of research / MazeRoadmapPublic product roadmap. (source)Not dated
Product Development / Resources & Inspiration / Maze CollectionRoadmapPublic product roadmap. (source)Not dated

Not found in the collected public sources: changelog or release notes, status page, separate help center or knowledge base.

Technical

18

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Maze is a web-based platform S57.S57
Platforms and appsAccessible via web browser S57.S57
API and extensibility (API, SDK, webhooks, MCP, plugins)Maze MCP connects to any MCP-compatible AI app S18.S18
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsMaze leverages AWS's security measures for high availability S57.S57
Release activityFall 2025 Roundup highlights latest releases S109.S109
19

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
TLS certificateAmazon, valid, expires 2027-01-02
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerNetlify
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-807.awsdns-36.net, ns-1436.awsdns-51.org

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s). A gap here means the lookup was unavailable, not that the finding is negative.

20

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 96/100
  • Critical issues: 0
  • Warnings: 12
  • Notices: 1

Issues

SeverityIssueValueAffected URL
noticeMeta description length should be reviewed177https://maze.co/
warningPage should have one primary H14https://maze.co/
warningPage should have one primary H12https://maze.co/platform/
warningPage should have one primary H12https://maze.co/platform/mcp/
warningPage should have one primary H12https://maze.co/features/research-panel/
warningPage should have one primary H12https://maze.co/features/in-product-prompts/
warningPage should have one primary H12https://maze.co/features/ai-moderator/
warningPage should have one primary H12https://maze.co/features/ai-study-builder/
warningPage should have one primary H13https://maze.co/features/prototype-testing/
warningPage should have one primary H12https://maze.co/features/interview-studies/
warningPage should have one primary H13https://maze.co/features/surveys/
warningPage should have one primary H13https://maze.co/features/live-website-testing/
warningPage should have one primary H12https://maze.co/features/mobile-testing/

Crawled pages

StatusTitleH1sWordsResponseURL
200Maze \User Research and Testing Platform41299140 ms
200The User and Market Research Platform \Maze21180288 ms
200Integrate Maze with your product toolkit \Maze11033473 ms
200Figma Prototype Testing with Maze \Maze + Figma1502532 ms
200Slack Integration with Maze \Maze + Slack1407633 ms
200Maze MCP \Connect your research with your AI tools2832197 ms
200Maze Panel \Recruit participants for user research2869125 ms
200In-Product Prompts \Maze2682477 ms
200AI-Moderated Interviews for User Research \Maze21515885 ms
200AI Study Builder for User Research \Maze21035515 ms
200Prototype Testing \Maze31008443 ms
200Interview Studies \Maze21048482 ms
200Surveys \Maze31059236 ms
200Website Testing \Maze31009488 ms
200Mobile Testing \Maze2980592 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

21

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct36.3%
search11.9%
search organic10.6%
search paid1.3%
social1.7%
social organic1.6%
social paid0.2%
referrals7.3%
paid referrals39.7%
mail2.7%
gen ai0.4%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

22

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors. Evidence gaps include lack of detailed pricing for Enterprise, no explicit data export options, and no independent review ratings. Open questions remain about the full scope of AI features and their availability across plans.

23

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 14 of 15 collected pages from maze.co, including product, pricing, features, and customer pages. Static and browser rendering crawls were used; deep page fetch was disabled. External proof search was performed but no independent reviews were scraped. Limitations include missing pages and potential marketing bias in source content.

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