Research Platform Comparison
Maze vs. Ballpark: Which is right for research with your users?
Maze helps companies build the right products faster by making user insights available at the speed of product development.
Maze vs. Ballpark: Introduction
When it comes to research with your users, choosing the right platform can make all the difference to your team. Maze and Ballpark are two known product research platforms, but which is the better choice for your organization?
Ballpark offers unmoderated research with surveys, usability tests, copy tests, live interviews, and more. It combines screen/audio/video capture with AI-assisted summaries and offers quick recruitment through integrations with Prolific and User Interviews.
Maze is an AI-first end-to-end platform that empowers teams with both qualitative and quantitative insights from a comprehensive set of research methods. Alongside interview studies, prototype testing, website testing, surveys, card sorting, and tree testing, Maze supports teams with participant recruitment and management and automated reporting. Maze AI helps streamline key research tasks, and Maze’s AI moderator enables teams to scale interviews across time zones without losing participant trust and insight quality.
In this detailed comparison, we’re covering how both these platforms compare to each other in key points such as:
- User-friendliness: How easy will this platform be to onboard with my team or organization? Will this help democratize our user research?
- Versatility: Is this a true end-to-end platform? Does it facilitate both quantitative and qualitative research methods? How well does this platform integrate with the design tools we use?
- Product decision making: How easily and quickly can we analyze results and customize insight reports to make important decisions?
Platform comparison (from G2 user reviews)
Maze | Ballpark | |
|---|---|---|
Overall rating (G2) | 4.5 / 5 out of 100+ reviews | 4.6 / 5 out of 20+ reviews |
Ease of use | 9.0 / 10 | 9.2 / 10 |
Ease of setup | 9.4 / 10 | 9.2 / 10 |
Pricing |
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Maze vs. Ballpark: Main differences
What really sets Maze and Ballpark apart for teams doing research?
AI-moderated interviews
Maze’s AI moderator runs asynchronous interviews, asks dynamic follow-up questions, and automatically generates summaries, sentiment analysis, and key themes, helping teams scale.
Breadth of research methods
Maze offers a wider range of research tasks than Ballpark, including prototype testing and moderated interviews, providing real user experience insights crucial to refine your design or product.
Reporting functionalities
Reporting in Maze is more robust - categorize information in detail to uncover patterns, review and comment insights with stakeholders directly, and embed the visual-rich report in your productivity tools.
Maze vs. Ballpark: Feature comparison
Features
Ballpark
Maze
Axure, Figma
Figma
Axure, Figma
Bolt, Figma Make, Lovable, Replit
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Bolt, Figma Make, Lovable, Replit
Amplitude, Atlassian, Miro, Notion, Slack
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Amplitude, Atlassian, Miro, Notion, Slack
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Maze vs. Ballpark: AI capabilities
Features
Ballpark
Maze
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Maze vs. Ballpark: Takeaways
At the end of the day, it comes down to which platform aligns better not only with your budget but mainly with your workflow and vision as a team.
Ballpark focuses on unmoderated research with surveys, prototype and live website usability tests, copy and visual tests, and live interviews. With recruitment through Prolific and User Interviews, it delivers rapid, directional insights. However, it does not support methods like tree testing, advanced branching logic in surveys, or in-product surveys.
Maze is a better fit for those who need a blend of qualitative and quantitative research to inform everyday product decisions. With AI-powered tools for both moderated and unmoderated studies integrated within the same platform, Maze has more question types than Ballpark and provides advanced branching logic. This allows users to create highly customized and dynamic paths in their tests, depending on respondent answers, and create richer, automated reporting with aggregated insights.
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Using Maze has supercharged our product design process and made it possible to drive faster turnaround times, speeding up product iteration and making for a better, faster user experience.
Yuna Akazawa
Product Designer at Braze
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By switching to Maze, we've consolidated four tools, including UserTesting, into one. Our workflow has been simplified, and we're saving on budget. We've even been able to extend more licenses across the team at the same cost.
Heidi Brown
Director of Product Design and User Research at Classy
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Using Maze has supercharged our product design process and made it possible to drive faster turnaround times, speeding up product iteration and making for a better, faster user experience.
Yuna Akazawa
Product Designer at Braze
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By switching to Maze, we've consolidated four tools, including UserTesting, into one. Our workflow has been simplified, and we're saving on budget. We've even been able to extend more licenses across the team at the same cost.
Heidi Brown
Director of Product Design and User Research at Classy
Why product and design teams choose Maze over Ballpark
AI-generated prototype testing, done right
Import AI-generated prototypes from tools like Figma Make, Bolt, Replit, and Loveable, and validate them with real users. Test usability, track clicks, and compare user paths, all before investing valuable resources.
Works with:
Robust, customizable reporting
Maze's reports are automated, visually-rich, and fully customizable. Filter and categorize information in detail to uncover patterns and share valuable insights with stakeholders.
Integrations that power your research workflow
Maze offers a wide range of integrations across design, productivity, video, and calendar tools, including Figma, Notion, Slack, Zoom, and Google Calendar, making it easier to connect research with daily workflows.
Frequently asked questions
How can I start using Maze?
How can I start using Maze?
You can get started with Maze by signing up for a free account—no credit card needed. It’s a quick way to explore the platform and run your first study. If you’re looking for a tailored walkthrough or want to see how Maze fits into your team’s workflow, you can also book a demo with our team.
Who is Maze for?
Who is Maze for?
Maze is built for product teams, UX researchers, designers, and anyone involved in making user-informed decisions. Whether you're part of a startup running lean tests or an enterprise scaling research across departments, Maze gives you the tools to collect insights quickly, collaborate easily, and deliver better experiences.
What kind of teams use Maze?
What kind of teams use Maze?
Maze is used by product, design, research, and marketing teams at companies of all sizes—from early-stage startups to global enterprises. It’s especially valuable for teams practicing continuous discovery, looking to scale research, or aiming to democratize insights across functions. Whether you're validating prototypes, testing live flows, or running interviews, Maze supports cross-functional teams working to build better products.
Does Maze use AI?
Does Maze use AI?
Maze has a breadth of AI-powered functionalities designed to elevate your product research and enabling you to collect more insights, faster, and with more precision than ever before.
Can I request a demo?
Can I request a demo?
Absolutely! Tell us a little about your company here and we’ll connect you with someone in our team.
Does Maze have advanced AI functionalities?
Does Maze have advanced AI functionalities?
Maze AI enhances the entire research workflow from planning studies to running them and interpreting results. Maze includes features like AI Moderator for automated interviews, Perfect Questions for bias-free question design, dynamic follow-ups for contextual probing, and automated themes for instant summaries. It also supports AI prototype testing through integrations with Figma Make, Bolt, and Loveable.
How do Maze and Ballpark compare in AI functionalities?
How do Maze and Ballpark compare in AI functionalities?
While both platforms support AI-generated summaries, sentiment analysis, and question phrasing, Maze goes further with dynamic follow-up questions, question quality checks, and AI project naming. Plus, the AI moderator runs asynchronous interviews and asks follow-up questions based on participant responses. Maze AI generates summaries, sentiment detection, and key themes. Maze also supports AI-generated prototype testing through tools like Figma Make, Bolt, Loveable, and Replit, helping teams test ideas early.
Bring a customer-focused mindset to your organization
Maze gives product teams a scalable way to uncover user insights at speed and feed them across the entire product development cycle.