Comparing research platforms
Maze vs. Sprig
Maze, a Sprig alternative, helps companies build the right products faster by making user insights available at the speed of product development.
Maze vs. Sprig: Introduction
When it comes to research with your users, choosing the right platform can make all the difference to your team. Sprig and Maze are two popular research platforms in the market, but which is the better choice for your organization?
Sprig is a product research platform helping companies capture and analyze user feedback primarily through live intercept testing methods—like surveys and session replays—for real-time insights.
Maze is an AI-first end-to-end platform enabling the collection of both qualitative and quantitative insights, allowing you to make more confident decisions at the pace of product development. It provides solutions for participant recruitment and management, AI-powered research methods and support, and auto-generated reports with in-depth, easy-to-share insights.
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 | Sprig | |
|---|---|---|
Overall rating (G2) | 4.5 / 5 out of 110+ reviews | 4.5 / 5 out of 100+ reviews |
Ease of use | 9.0 / 10 | 8.8 / 10 |
Ease of setup | 9.4 / 10 | 8.6 / 10 |
Pricing |
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Maze vs. Sprig: Main differences
What really sets Maze and Sprig apart for teams doing research?
Breadth of research methods
Maze offers a more varied range of testing options than Sprig, including website testing, prototype testing, card sorting, tree testing, and moderated interview studies.
Reporting functionalities
Reporting in Maze is far more robust—categorize information in detail to uncover patterns, review and comment insights with stakeholders directly, and embed the visually-rich report in your productivity tools.
Research democratization
Maze is an enterprise-ready, user-friendly platform, enabling every designer, product team, and researcher company-wide to make product decisions based on user insights.
Maze vs. Sprig: Feature comparison
Features
Sprig
Maze
Axure, Figma
Figma, Sketch, Adobe XD, Axure, and more
Axure, Figma
Tester panel
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Bolt, Figma Make, Loveable, Replit
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Bolt, Figma Make, Loveable, Replit
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Google Meet, Microsoft Teams, Zoom
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Google Meet, Microsoft Teams, Zoom
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Maze vs. Sprig: AI Capabilities
Features
Sprig
Maze
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Maze vs. Sprig: Takeaways
At the end of the day, it comes down to which platform aligns better not only with your budget, but with your workflow and vision as a team.
If you're mostly looking to collect real-time product feedback, Sprig provides an easy way to launch surveys and collect real-time user feedback in your product. It also enables you to recreate user flows to capture friction points.
On the other hand, Maze is an intuitive, cost-effective choice for teams that need a blend of qualitative and quantitative research to inform everyday product decisions. Alongside surveys and website testing, Maze empowers teams with interview studies, prototype testing, card sorting, and more. Maze AI offers comprehensive AI research optimization and analysis capabilities, and Maze’s AI moderator enables teams to scale research without missing out on insights.
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The way Maze operates really speaks to the way user research is done today and matches the way I think about research. Maze lets us use mixed methods in one study. Also, the reporting functionality and AI theming really stand out.
Janet Taylor
Senior Director of Product Design and Research at Homebase
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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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The way Maze operates really speaks to the way user research is done today and matches the way I think about research. Maze lets us use mixed methods in one study. Also, the reporting functionality and AI theming really stand out.
Janet Taylor
Senior Director of Product Design and Research at Homebase
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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
Why product and design teams choose Maze over Sprig
Prototype testing, done right
Integrate with leading design tools and validate usability across your traditional and AI-generated prototypes with real users, from click tracking to multiple user path goals. 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.
Participant management
Integrated participant management
Pull in people from your own product toolstack, build your own research participant database, and understand your users at a much deeper level. Like a CRM—just for product research.
Maze AI
The future of user research
Elevate your company's product research with innovative, AI-powered capabilities that enable you to collect more insights, faster, and with more precision than ever before.
Frequently asked questions
Why choose Maze over Sprig for user research?
Why choose Maze over Sprig for user research?
Product managers, designers, and researchers pick Maze over Sprig as Maze allows for easy rollout and adoption at all levels. It combines quantitative (time on task, completion/abandonment/error/etc rates) and behavioral usability data (clickstreams and heatmaps) to get seeper insights.
Plus, Maze's reports are automated, visually rich, and fully customizable. You can filter and categorize information in detail to uncover patterns and share valuable insights with stakeholders.
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.
How do Maze and Sprig compare in AI functionalities?
How do Maze and Sprig compare in AI functionalities?
Compared to Sprig, Maze offers a broader AI support. Maze’s AI moderator automates user interviews, asks follow-up questions, captures responses, and works across time zones. Maze AI then analyzes the results, pulling out sentiment, themes, and summaries automatically. It also helps with writing better questions, checking for bias, and even naming projects. Maze also supports AI-generated prototype testing through tools like Figma Make, Bolt, Loveable, and Replit, so teams can test early ideas without investing in development.
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.