Maze Alternative

The maze alternative for B2B SaaS teams that need qualitative UX findings, not just click paths

Q: Is AI feedback as reliable as real participant testing?

For directional decisions like is this flow confusing? or where do users stall?, AI personas configured with the right domain context are faster and more consistent than a small cohort of generic participants. For research requiring lived experience or emotional nuance, combine Tessary with occasional moderated sessions.

Maze tells you where users clicked and whether they completed a task. It does not tell you why. Tessary replaces Maze by running AI personas with the right domain expertise through your prototype. Structured qualitative UX findings come back in minutes, with no recruiting required.

Start testing with Tessary →

Output

Qualitative UX findings, not click data

Recruiting

No recruiting, no scheduling

Starting price

Free, no credit card required

The Problem

What Maze gets right (and where it falls short)

Maze built a solid product for quantitative prototype testing. Figma integration works. Setup is fast. Task completion rates and click paths are easy to share with stakeholders.

But G2 reviewers consistently flag the same limitation: once research projects need structured studies, deeper insight, or actual conversations with users, that's where Maze falls short. A second pattern in reviews: Maze reporting leaves something to be desired, with no ability to combine multiple reports into a single document.

Click data without context

Task completion rates tell you what happened. They do not tell you why a user hesitated on step three or why they abandoned the flow entirely. Qualitative reasoning is not in the report.

Generic participants can't test B2B tools

A developer tool, a data platform, or an enterprise workflow product requires testers with the right domain knowledge. A general participant pool cannot meaningfully evaluate whether your UX makes sense to your actual user.

Maze is moving upmarket

Maze's 2026 Research Maturity Model targets enterprise teams building research operations at scale. The expanded AI Moderator adds screen sharing and evaluative interview flows — capabilities built for research ops teams. If you're a PM at a Series B SaaS company running two-week sprints, Maze is building away from you.

Side by Side

Tessary vs. Maze

	Tessary	Maze
Output type	✓ Qualitative UX findings	Click data and task completion rates
Domain expertise	✓ AI personas match your actual user type	Generic participants or panel
Speed to findings	✓ Minutes	Setup time, plus participant wait
Recruiting required	✓ No	Optional, but adds time and cost
Works on	✓ Figma prototypes and live URLs	Primarily prototypes
Reporting	✓ Structured findings per session, shareable	Aggregate click metrics, limited cross-study
Starting price	✓ Free tier: $0/mo · Team: Early Access	From $99/mo, scales with seats
Best for	✓ B2B SaaS PMs who need qualitative depth	Designers running quantitative click tests

When Maze is the better fit

→ You need quantitative click-path data or task completion rates across 50+ participants.
→ Your research program is run by a dedicated research ops team, not individual PMs.

How It Works

From prototype to structured findings in minutes

No scheduling. No incentives. No waiting for participants.

Configure a persona

Describe your actual user: their role, domain, and goals. A product designer at a financial data SaaS gets a different persona than a procurement manager at a logistics platform.

Run the test

The AI agent navigates your Figma prototype or live URL in a real browser, the way your actual user would — with their domain knowledge, not a generic participant's.

Read structured findings

You get a report of what the persona struggled with, where it hesitated, what it missed, and why, organized for immediate action. No transcription. No synthesis session.

Why Teams Switch

Why B2B SaaS teams replace Maze with Tessary

Domain-matched testing

A generic participant pool cannot meaningfully test a developer tool, a data platform, or an enterprise workflow product. Tessary's AI personas are configured for your exact user context.

Qualitative findings without research ops

You do not need a dedicated research team to get structured usability findings. A PM can set up and run a test in minutes and share the results before the sprint ends.

Findings before the sprint ends

Maze quantitative data requires interpretation. Tessary returns a structured report you can act on the same day, before your sprint closes.

Also evaluating UserTesting?

See Tessary vs. UserTesting →

FAQ

Common questions

What does Maze do that Tessary doesn't?

Maze gives you quantitative click data: task completion rates, misclick rates, and heatmaps. If you need statistical data across a large panel, Maze can supply that. Tessary does not produce click metrics. Tessary produces qualitative findings: the reasoning behind a hesitation, the confusion behind a drop-off. That is what B2B SaaS teams need to make design decisions before a sprint closes.

Does Tessary work with Figma like Maze does?

Yes. Paste your Figma share link and Tessary runs AI personas directly on the prototype, with no export, no plugin, and no additional setup. It also works on live URLs, which Maze is not primarily designed for.

Is AI feedback as reliable as real participant testing?

For directional decisions like "is this flow confusing?" or "where do users stall?", AI personas configured with the right domain context are faster and more consistent than a small cohort of generic participants. For research requiring lived experience or emotional nuance, combine Tessary with occasional moderated sessions.

How long does it take to switch from Maze?

There is nothing to migrate. Tessary works from a URL. Paste your Figma share link or staging URL and your first test is running within minutes. No export, no plugin install, no onboarding call required.

How much does Tessary cost compared to Maze?

Tessary has a free tier with 3 sessions per month (no credit card required). Paid plans are on our pricing page. Maze's paid plans start at $99/month and scale with seat count and research volume.

Get Started

Replace Maze with qualitative depth.

You no longer have to choose between speed and insight. Tessary tests your prototype with the right personas and returns structured UX findings in minutes, without recruiting anyone.

Start testing with Tessary →

No credit card required. No recruiting. No waiting.