Platform comparison

Maze vs Sprig: Which is right for research with your users?

Maze is a Sprig alternative that helps scale continuous product research across your entire company.

A tale of two platforms

Investing in research with your users fuels high adoption, activation, and retention. Put simply, it enables you to ship a better product to your users, and more frequently. A lot of the impact research creates is influenced by the platform you choose, which is why it's important to choose wisely.

Maze and Sprig are two great options for your research, but which is the better choice for your organization?

Maze empowers everyone in product teams to continuously collect user insights at an expert-level. It enables testing anything from prototypes to ideas, and allows you to round up valuable user feedback to help deliver truly customer-centric products—all in one place.

Sprig is a product research platform enabling teams to create customer-informed products and is mostly focused on usability testing and in-product feedback.

Maze vs Sprig: Overview

Name

Main applications

Price

G2 Rating

Available on

Main applications

Sprig

Automated analysis Usability testing

Free to start Custom Enterprise plans

4.6/5 out of 15+ reviews

Browsers, app

Automated analysis Usability testing

Maze

Prototype testing Usability testing Participant management

Free to start Pro Plan from $75/month Custom Enterprise plans

4.5/5 out of 90+ reviews

Browsers

Prototype testing Usability testing Participant management

Maze vs Sprig: Main differences

What really sets Maze and Sprig apart for teams doing research?

Breadth of research methods

Sprig has more limited survey question types. Maze offers a more varied range of block types, including card sort, 5-second test, tree test, and opinion scale.

Design integrations

Unlike Sprig, Maze offers deep integrations with popular design tools, such as Figma, Sketch, and InVision to validate designs early on.

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 visually-rich report in your productivity tools.

Maze vs Sprig: Feature comparison

Features

Maze

Sprig

Maze

Tester panel

Tester management database

Surveys

Deep integrations with design tools

Adobe XD, Figma, InVision, Sketch

Figma

Adobe XD, Figma, InVision, Sketch

Prototype testing

Moderated interview analysis

Video / screen session recording

In-product surveys

Tree testing

Heatmaps

Card sorting

5-Second testing

Conditional logic

Classy (2)

"Maze's ease of use has allowed us to run smaller, right-sized studies and eliminate barriers to connecting with customers. This has empowered our team to create better experiences."

Heidi Brown, Director of Product Design and User Research at Classy

For product research from A-Z, choose Maze

Whether you’re just getting started or looking to scale your research, Maze will lead you towards always delivering a truly user-centric product.

Why product and design teams are making the switch to Maze

Intuitive experience

It’s hard enough to source test participants—you don’t want any more friction to get research campaigns completed. Maze is an easy-to-use platform whose tests can be carried out on any device with no apps, scripts, or plugins installed.

Prototype testing, done right

Integrate with leading design tools and validate usability across your prototypes with real users, from click tracking to multiple user path goals. All before investing valuable resources.

Works with:

Figma
Sketch
Adobe XD
InVision

Robust, customizable reporting

Data insights are only as valuable as they are understandable. Maze's reports are automated, visually rich, and fully customizable. Plus, you can easily embed them in your favorite tools.

Scaleable research practice

Ultimately, Maze saves time and budget collecting data without compromising quality. Empower your product team with actionable insights and deliver value to your customers more often.

Maze vs Sprig: Takeaways

Both Maze and Sprig are great options to conduct research and improve your product by learning with your users. 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.

Maze is a better fit for teams who want to inform everyday decisions, such as validating concepts and de-risking designs and prototypes early on. With Maze, you can filter and categorize insights in beautiful data-driven reports, and enable a mindset of continuous discovery and improvement while delivering value to your customers.

No more dead ends in research—bring a customer-focused mindset to your organization

Frequently asked questions

Who is Maze for?

Anyone working in a product team should be empowered to do research—whether you’re a designer, researcher, product manager, or other.

Maze is used by teams that want to empower everyone to collect actionable user insights to make informed decisions, and share learnings across their whole organization.

What kind of teams use Maze?

Maze is used by product, design and research teams that want actionable user insights to make informed decisions with their users, for their users.

Teams from all sizes and industries use Maze, including Financial Services, Travel, Insurance, Technology/Software, Healthcare, and Retail.

What’s continuous discovery and why does it benefit my company?

Continuous product research fuels high adoption, activation, and retention—simply put, it enables you to ship more value to your users, and more frequently. Maze empowers anyone who does research to autonomously run expert-level, unmoderated research—facilitating a discovery mindset in product teams so you can build the right product, with your users, for your users.

Can I request a demo?

Absolutely! Tell us a little about your company here and we’ll connect you with someone in our team.

Do you have comparisons with other platforms?

Yes. Read on to discover all comparisons of Maze with other platforms.