Research Platform Comparison
Maze vs. Ballpark: Which Research Platform is Right for Your Team?
Maze helps companies build the right products faster by making user insights available at the speed of product development.
TL;DR
Both Maze and Ballpark support surveys, prototype and website testing, card sorting, participant recruitment, and AI-moderated and researcher-led interviews.
Beyond this, Maze offers native tree testing, live mobile testing, in-product surveys, interview scheduling, wider integration options, and customizable reports with findings linked to source quotes and clips.
Maze vs. Ballpark: Introduction
Both Maze and Ballpark use AI to run and analyze research. This comparison looks at how each platform supports the full research workflow, from study creation and participant recruitment to analysis, reporting, and product decision-making.
Ballpark is an AI-powered research platform for consumer, brand, and product research. Teams can run surveys, video and voice studies, Figma prototype tests, website tests, copy tests, card sorts, live interviews, and task-based studies. Ballpark also offers AI study creation, AI-led interviews, AI-generated reports, and highlight reels. Coach, Ballpark’s AI assistant, analyzes data across your workspace. Plus, you get access to over 3M participants when recruiting for research studies.
Maze is an AI-first end-to-end research platform that turns business questions into the right user or market research study, so anyone across an organization can test assumptions before they shape a decision. Maze provides research methods including AI-moderated interviews and researcher-moderated interviews, usability testing, prototype and live website testing, surveys, card sorting, and tree testing. At the start of your study, you can recruit from millions of B2B and B2C participants through the Maze panel, and at the end of your study you get a clear, automated report. Maze AI helps plan studies, automate interviews, generate follow-up questions, summarize findings, identify key themes, and connect qualitative and quantitative insights across the research workflow.
In this detailed comparison, we’re covering how both platforms compare to each other in key points such as:
- AI research approach: How each platform uses AI for study creation, interviews, follow-up questions, analysis, and reporting
- Feature breadth: Whether the platform supports standalone research projects or a broader research workflow
- Participant recruitment: How each tool helps teams recruit participants and manage research audiences
- Integrations: How each platform connects with design, product, collaboration, and research tools
- Pricing: How each platform structures access for growing teams and enterprise programs
Platform comparison (from G2 user reviews)
Maze | Ballpark | |
|---|---|---|
Overall rating (G2) | 4.5 / 5 out of 100+ reviews | 4.6 / 5 out of 60+ reviews |
Ease of use | 9.4 / 10 | 9.2 / 10 |
Ease of setup | 9.0 / 10 | 9.2 / 10 |
Integrations |
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Pricing |
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Best for… | Best for product and design teams who want to run continuous, end-to-end research—from prototype to live product—in one place | Best for consumer, brand, and marketing teams running fast, high-volume research |
Maze vs. Ballpark: Main differences
What really sets Maze and Ballpark apart for teams doing research?
AI-moderated interviews
AI-moderated interviews Ballpark’s AI interviewer adds AI-moderated conversations to unmoderated studies and can be combined with prototype tests, card sorts, surveys, or other study types. Maze's AI moderator is built for depth and rigor at scale. It uses 25 research-quality metrics, asks dynamic follow-up questions, supports 20+ languages, and traces every insight back to the exact participant quote across all study types.
Breadth of research methods
While Ballpark supports core methods like surveys, prototype testing, card sorting, and AI interviews, Maze offers a more complete research toolkit. Alongside the methods offered by Ballpark, Maze also enables teams to conduct native tree testing, live website and mobile usability testing (with a custom-built app), and native AI-generated prototype testing.
Reporting functionalities
Ballpark gives teams shareable AI summaries, highlight reels, and quick, study-level reports. Maze offers additional flexibility in how teams organize and share findings, with customizable report layouts for highlighting what matters most, Slack sharing for easy collaboration, and Notion embeds for keeping your research repository fresh.
Maze vs. Ballpark: Feature comparison
Features
Ballpark
Maze
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Bolt, Figma Make, Lovable, Replit
Requires a workaround
Bolt, Figma Make, Lovable, Replit
Axure, Figma
Figma and Marvel
Axure, Figma
Atlassian, FigJam, Miro, Notion, Slack
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Atlassian, FigJam, Miro, Notion, Slack
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—
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Coming soon
Google Meet, Microsoft Teams, Zoom
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Google Meet, Microsoft Teams, Zoom
Google/Outlook Calendar, Exchange, Office 365, iCloud
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Google/Outlook Calendar, Exchange, Office 365, iCloud
Maze vs. Ballpark: AI capabilities
Features
Ballpark
Maze
Coming soon
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Maze vs. Ballpark: Participant recruitment
Features
Ballpark
Maze
6M+ Vetted B2B and B2C Panelists
3M+ participants
6M+ Vetted B2B and B2C Panelists
130+ countries
130+ countries
130+ countries
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1 Credit = $5.00 USD (Based on standard bundle pricing of 50 credits for $250)
1 Credit = $1.00 USD (with bundles starting at 50 credits for $50). 1 credit per minute, so a five-minute test requires 5 credits per participant.
1 Credit = $5.00 USD (Based on standard bundle pricing of 50 credits for $250)
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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. Add or remove slides, reorder sections, and edit text to adapt the story to your stakeholder. Share via link, embed in Notion or FigJam, or download as PDF. Every theme is traceable back to the source quote or clip.
Integrations that power your research workflow
Maze integrates with leading design, analytics, productivity, video conferencing, and calendar tools. These include Figma, Notion, Slack, Miro, Atlassian, Zoom, and Google Calendar, making it easier to connect research with daily workflows.
Maze vs. Ballpark: Takeaways
Both platforms use AI to run and analyze research. The difference is how deeply each integrates into your team’s workflow and vision.
Ballpark is built for rapid, simple testing. It supports surveys, prototype testing, website testing, copy tests, and AI interviews with AI-assisted summaries and highlight reels. With access to 3 million participants, it's designed for fast, flexible consumer and brand research.
Maze is a better fit for those who need a blend of qualitative and quantitative research to inform everyday product decisions. It offers traditional and AI-moderated interviews, prototype testing, live website and mobile testing, card sorting, tree testing, in-product prompts, and surveys. Maze panel enables teams to recruit B2B and B2C participants, while in-product prompts give you the option to recruit users while they’re using a live website.
Maze also provides AI capabilities to support researchers throughout the workflow with dynamic follow-up questions, automated themes, sentiment analysis, and traceable insights. Reports are fully customizable and shareable with heatmaps, path analysis, misclicks, and behavioral metrics combined with qualitative insights.
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 Lovable.
How do Maze and Ballpark compare in AI functionalities?
How do Maze and Ballpark compare in AI functionalities?
Both platforms use AI to run and analyze research. Ballpark's AI interviewer runs fast, goal-driven interviews as part of a task flow. Its AI study creator turns learning goals into surveys in seconds. Coach AI is a study builder and conversational assistant; you can ask it questions to list patterns across studies.
Maze AI is built for research rigor at scale. The AI moderator is evaluated against 25 quality metrics to prevent bias. It supports over 20 languages and can test live UI frames during interviews. Perfect Question identifies bias, illegibility, and grammatical errors in your questions and suggests rephrased versions. Automated themes link back to the exact quote or video timestamp. Reports are customizable and shareable as presentation decks.
Why choose Maze over Ballpark for user research?
Why choose Maze over Ballpark for user research?
If you’re looking for a Ballpark alternative, choose Maze for an AI-first platform that can run research at scale across your whole product lifecycle. Maze brings together researcher-moderated interviews, AI‑moderated interviews, prototype testing (including AI-generated prototypes), live website and mobile testing, card sorting, tree testing, surveys, and in‑product prompts in one place.
Maze also helps you find and manage the right participants over time. With Maze panel you can recruit from millions of B2B and B2C users in 130+ countries. Maze AI then sits across this workflow. It helps you generate and optimize questions, run AI‑moderated interviews, and turn sessions into traceable themes, clips, and customizable reports your stakeholders can act on.
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.