Home / Directory / AI SaaS tooling / AI customer research & insights / Maze
Maze
Continuous product research platform for prototype testing, surveys, and moderated studies, helping product and UX teams turn participant sessions into shareable findings.
Product and UX teams that want to run prototype tests and surveys quickly, then share findings without building a separate research ops stack.
Teams that mainly need a deep interview repository with AI theme synthesis first, or enterprises locked into a large panel-only research suite.
Verdict
Maze is a good fit when the bottleneck is validating designs and flows with participants on a steady cadence. Practitioners like the study builder; buyers centered on long-form interview libraries may still prefer Dovetail.
Score Breakdown
How Maze scores in the categories that matter to its buyers.
Pricing
Maze publishes Free through Organization-class plans on maze.co/pricing. Figures below are USD list signals commonly reported for 2026; confirm seats and AI features on live checkout.
| Plan / SKU | Meter | Price (USD) | What stands out |
|---|---|---|---|
| Free | per month | $0 | Limited studies; pilot path |
| Starter | per month | Published seat tier | Core testing |
| Organization | per month | Scales with seats | Advanced studies; admin |
| Enterprise | annual | Custom quote | SSO; security path |
The Field at a Glance
How Maze compares with other AI customer research & insights vendors we reviewed, by Overall Score and relative typical engagement cost.
Maze scores 7.8 in AI customer research & insights, under Dovetail (8.0), level with Great Question (7.8), and ahead of Outset (7.7) and Sprig (7.4). Relative cost lands lower for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Prototype / unmoderated tests | Strong | Core Maze motion. |
| Surveys & card sorts | Strong | Common buyer story. |
| Insight sharing | Strong | Reporting path. |
| Deep interview repository | Mixed | Dovetail stores interview recordings, transcripts and tags. |
| In-product continuous surveys | Mixed | Sprig runs surveys inside the product. |
| Incident on-call | Poor | Maze does not cover incident on-call. |
Review Excerpts
Representative buyer views drawn from public information about Maze. Paid reviews and pay-for-play sites were excluded.
“Designers import a prototype and get task results from participants within a day.”
Representative buyer view
“Research and design share findings as reports that stakeholders can open without a login.”
Representative buyer view
“Teams with a large study archive find the repository thinner than purpose-built tools.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Maze’s company page
Company Facts
- Founded
- 2018 (CB Insights)
- Headquarters
- London, England, United Kingdom (CB Insights)
- Total funding raised
- $57.47M (CB Insights)
- Key investors
- Partech, Seedcamp, Amplify Partners, Emergence Capital, Justin Bauer (CB Insights)
- Website
- maze.co
Key Leadership
Jonathan Widawski
Co-founder and CEO
Methodology
This page is an independent evaluation of Maze for buyers comparing options in ai customer research & insights. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Maze did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai customer research & insights)
- Prototype & unmoderated testing
- Study builder speed
- Insight sharing & reporting
- Deep interview repository depth
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Maze is graded here as ai customer research & insights. Criteria scores can move as more review volume and product checks are added.