Koji vs Maze: Which Research Tool Is Right for Your Team? (2026)

Koji and Maze both sit in the "product research" category — but they serve fundamentally different research needs. Here's a direct comparison to help you decide which belongs in your stack.

The short answer: Maze is built for quantitative usability testing — measuring task completion rates, click paths, and survey responses at scale. Koji is built for qualitative discovery — AI conducts open-ended voice and text interviews, then automatically surfaces themes, sentiment, and insights. They're often more complementary than competing, but if your budget only allows one, the choice comes down to whether you need metrics or meaning.

Quick Comparison

| Feature | Koji | Maze | |---------|------|------| | AI-moderated interviews | ✅ Voice + text conversations | ❌ Survey + task-based tests | | Automated thematic analysis | ✅ Themes, sentiment, key quotes | ❌ Metrics and quantitative data | | Voice interviews | ✅ Natural AI conversations | ❌ Not available | | Usability / task testing | ❌ Not the core use case | ✅ Click maps, heatmaps, task flows | | Prototype testing | ❌ | ✅ Figma integration | | Built-in participant panel | ❌ Bring your own | ✅ Access to panel participants | | One-click insight reports | ✅ Qualitative aggregate reports | ⚠️ Quantitative dashboards | | Tree testing / card sorting | ❌ | ✅ | | Free plan | ✅ 1 study, 5 interviews | ✅ Free plan available | | Starting paid price | €99/month | $99/seat/month | | Best for | Discovery interviews, churn analysis, qualitative depth | Usability testing, design validation, quantitative feedback |

Deep Dive: Koji

Koji is an AI-native platform where an AI interviewer conducts voice or text conversations with your participants and automatically synthesizes findings into themes, sentiment analysis, and insight reports.

What Koji Does Best

Open-ended discovery at scale. Koji shines when you need to understand why — why customers churn, why a feature isn't adopted, what job they're trying to do, what frustrated them about a competitor. These are questions that task-based testing can't answer.

No human moderator needed. The AI follows your research guide, probes naturally, and maintains consistent quality across 10 or 10,000 sessions. According to the Maze Future of User Research Report 2026, 69% of research teams now use AI in their workflow — and Koji is purpose-built for this shift.

Automatic synthesis. After each session, Koji extracts themes and key quotes. Once you have sufficient responses, a one-click report synthesizes insights across all participants — no manual coding, no affinity mapping. Research from Dscout shows analysis consumes 32.7% of total project time; Koji is designed to reclaim that time.

Accessible to the whole team. Koji's AI consultant guides study design, so product managers, founders, and customer success teams can run rigorous research without a research background.

Where Koji Has Limitations

Koji doesn't support prototype testing, click maps, or task-completion tracking. If you need to validate whether users can complete a specific flow in your product, you'll want a dedicated usability tool. Koji also requires you to bring your own participants — there's no built-in panel.

Deep Dive: Maze

Maze is a continuous product discovery platform that focuses on quantitative, metric-driven research. It's built for product and design teams who need fast, measurable feedback on designs and flows.

What Maze Does Best

Prototype and usability testing. Maze integrates directly with Figma, Sketch, and InVision, making it fast to set up prototype tests. Participants complete tasks while Maze captures click paths, heatmaps, time on task, and success rates.

Quantitative at scale. Maze excels when you need statistically significant data — A/B testing design options, measuring completion rates across user segments, or tracking usability metrics over time.

Tree testing and card sorting. For information architecture research — figuring out how users expect content to be organized — Maze's tree testing and card sorting features are well-regarded by UX practitioners.

Panel access. Maze offers access to a panel of participants, which removes the recruitment friction when you need quick feedback from a specific demographic.

Where Maze Has Limitations

Qualitative depth is limited. Maze surveys can collect open-ended text, but you won't get the conversational depth that reveals underlying motivations, mental models, or emotional context. A participant can click through your prototype successfully and you'll still not know why they almost gave up at step 3.

Analysis burden remains. Maze gives you metrics dashboards, but interpreting the meaning behind the data still requires human judgment. You may find yourself scheduling follow-up interviews to understand what the click data actually means.

Per-seat pricing. Maze charges per seat on paid plans, which can make it expensive for cross-functional teams where multiple stakeholders want access to research findings.

When to Choose Koji vs Maze

Choose Koji if:

• Your research goal is understanding motivations, needs, and mental models
• You're running discovery interviews, churn analysis, or feature validation through conversation
• You want AI to conduct interviews and synthesize findings automatically
• You don't have dedicated researchers and need a tool that guides you through the process
• You need depth, not metrics

Choose Maze if:

• You need to validate whether users can complete specific tasks in your product
• You're testing design alternatives and need quantitative comparison data
• You're doing information architecture research (tree testing, card sorting)
• You have Figma prototypes ready to test with measurable task flows
• You need metrics, not depth

Use both if:

• You run a full research program: use Koji for discovery and depth understanding, use Maze for design validation and task testing
• You need to first understand the problem space (Koji), then validate your solution (Maze)
• Your team includes both researchers running discovery and designers running validation

This is actually the most common setup for mature research teams: qualitative tools for depth, quantitative tools for validation.

Pricing Comparison

Koji: Free plan with 1 study and 5 interviews. Paid plans from €99/month — no per-seat charges, so the whole team can access insights.

Maze: Free plan available with basic features. Growth plan at $99/seat/month. Enterprise pricing available. At $99/seat, costs scale quickly for larger teams.

For early-stage teams or founders doing discovery research, Koji's economics are more favorable. For design-focused teams running usability studies on prototypes, Maze's free plan may be sufficient for getting started.

Final Verdict

Koji and Maze are more complementary than competing. Maze measures what users do; Koji understands why they do it.

If you can only choose one and your primary research need is understanding customer problems, motivations, and unmet needs — Koji is your tool. You'll get conversational depth, automatic synthesis, and insights that actually drive strategy, not just design iterations.

If your primary need is validating whether a specific design works before shipping it, Maze is the better fit.

The highest-impact research programs use both: Koji at the front of the process to discover the right problems to solve, and usability testing tools like Maze at the back to validate the solutions. That combination produces products that are both right and usable — a combination that's surprisingly rare.

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Start discovering with Koji for free. Run your first AI-moderated interview study today — no scheduling, no moderation, no manual analysis required.

Last verified: March 2026

Frequently Asked Questions

Is Koji a Maze alternative? Koji and Maze serve different primary use cases. Maze is for quantitative usability testing on prototypes and designs. Koji is for qualitative depth interviews. Most teams benefit from both rather than choosing one over the other.

Does Maze do interviews like Koji? Maze supports open-ended survey questions but is not designed for conversational depth interviews. Koji's AI conducts full voice or text conversations with natural follow-up questions — something Maze surveys cannot replicate.

Can Koji replace Maze for usability testing? No. Koji is not designed for task-based prototype testing, click maps, or heatmaps. If usability validation is your primary need, Maze (or a similar tool like Lookback or Userlytics) is a better fit.

Which tool is better for product managers? Koji is particularly well-suited for product managers who need to understand customer needs, motivations, and jobs-to-be-done — especially without a dedicated research team. Maze is better suited for designers validating specific design decisions.

Does Koji have a free plan? Yes. Koji's free plan includes 1 study and 5 interviews, giving you a meaningful starting point to run your first AI-moderated research study at no cost.