Comparing research platforms
Maze vs. Lyssna: Which UX research platform is right for you?
Explore the differences between Maze and Lyssna, from user testing and participant tools to AI-powered reporting and continuous discovery for product and design teams.
Maze vs. Lyssna: Introduction
You’re not short of options when it comes to finding a user research platform, but choosing the right one depends on your specific needs. Maze and Lyssna are two popular options—but how do they compare?
Lyssna, formerly UsabilityHub, is an unmoderated user research platform. It supports surveys, five-second tests, card sorting, and prototype validation. However, it lacks key moderated testing methods, mobile app studies, in-app video conferencing, and more. It’s best suited for smaller teams who want fast, lightweight feedback rather than continuous research.
Maze is an AI-enabled end-to-end user research platform that supports both moderated and unmoderated research for uncovering qualitative and quantitative user insights. From Prototype and Live Website Testing to Card Sorting, Tree Testing, and Interview Studies, Maze simplifies research with AI-powered solutions and automated reports. Combined with a global participant recruitment panel and management platform (Maze Panel and Maze Reach), and integrations with design tools like Figma, Adobe XD, and Sketch, Maze helps teams collect insights at the pace of product development.
In this Maze vs. Lyssna comparison, we break down how Maze and Lyssna compare in:
- User-friendliness and ease of use: Which platform is easier to onboard and scale across your team?
- Versatility and functionality: Does it support a comprehensive range of research methods and integrations?
- Product decision-making: How quickly can you analyze results and act on insights?
Maze vs. Lyssna comparison (from G2 reviews)
Maze | Lyssna | |
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Overall rating | 4.5/5 | 4.5/5 |
Ease of use | 9.0 / 10 | 9.2 / 10 |
Ease of setup | 9.4 / 10 | 9.2 / 10 |
Key integrations |
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Pricing |
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Maze vs. Lyssna: Main differences
What really sets Maze and Lyssna apart for teams doing user research?
AI-driven research automation
Lyssna offers limited AI features, such as text summaries, follow-up questions, and transcription. These help speed up analysis but still require manual interpretation. Maze provides a suite of AI-powered research tools that includes these features and more. Ask the right questions at the right time with Maze AI’s Perfect Question and Dynamic Follow-Ups; scale interview studies with Maze’s AI moderator; and analyze findings with Automated Themes and AI summaries. It’s AI support across the entire research process to help teams make confident product decisions faster.
Mobile-first research capabilities
Lyssna supports tests on desktop browsers. Lyssna users are unable to test directly on mobile devices. Maze’s dedicated mobile app, Maze Participate, captures user behavior across live apps, mobile websites, and prototypes. This makes it possible to run realistic mobile studies with full-device screen, audio, and video recordings—alongside desktop testing.
Automated, custom reporting
Lyssna provides recordings and AI text summaries, but leaves teams to piece insights together manually. Maze reports are created automatically following research studies and are fully customizable. For qualitative studies, reports provide AI-powered thematic and sentiment analysis, transcripts, and highlights. For quantitative studies, reports deliver task metrics like completion rates, time on task, and path analysis. Together, these insights give stakeholders the clarity they need to align quickly and move forward with confidence.
Maze vs. Lyssna: Feature comparison
Features
Lyssna
Maze
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Atlassian, FigJam, Miro, Notion, Slack
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Atlassian, FigJam, Miro, Notion, Slack
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Zoom, Teams, Google Meet
Zoom, Teams
Zoom, Teams, Google Meet
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Maze vs. Lyssna: Takeaways
Choosing between Maze and Lyssna depends on your team’s research needs, workflow, and vision.
Lyssna offers a wide range of unmoderated user testing methods, including surveys, five-second tests, card sorting, tree testing, prototype validation, and usability testing. However, its recent AI updates are limited to summaries and follow-ups, and it lacks advanced features like AI interview moderation, mobile testing, in-product prompts, and participant management. Reporting and analytics also remain basic, especially when compared to Maze.
Maze, on the other hand, is a complete user research platform that combines moderated and unmoderated methods in one place. It supports Interview Studies, Live Website Testing, Prototype Testing, Card Sorting, Tree Testing, Feedback Surveys, and In-Product Prompts—alongside mobile studies with Maze Participate. AI-powered features such as the AI Interview Moderator, Perfect Question, AI Follow-Ups, Automated Themes, and Maze Reports give teams faster, deeper analysis across qualitative and quantitative data. With participant recruitment through Maze Panel, management in Maze Reach, integrations with leading design and collaboration tools, and sharing options like Clips and custom reports, Maze enables continuous discovery at scale.
Lyssna is often chosen by smaller teams for quick, lower-cost testing, but it lacks the innovation and scale that Product teams now expect. Maze brings AI-powered insights, mobile testing, flexible recruitment, and integrations into one platform, helping teams embed research into every stage of product development.
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"Maze takes the guesswork out of understanding user problems, letting you focus on what matters most."
Henrique Johansson Tramontina
Principal Product Designer at Hopper
Why product and design teams are making the switch to Maze
In-Product Prompts for real-time feedback
Maze enables teams to collect user feedback directly inside live products and websites. With targeted surveys like NPS, CSAT, or PMF, you capture sentiment as users interact, turning every touchpoint into an opportunity for insight.
Verified participants, global reach
Maze Panel provides a vetted, global participant pool with advanced targeting across 150+ countries, while Maze Reach acts as a CRM for building and managing your own database. Together, they ensure you’re testing with the right people, every time.
AI-powered research at scale
Maze embeds AI across the research workflow: Maze’s AI moderator runs and analyzes interviews, Perfect Question reduces bias, AI Follow-Up digs deeper into responses, and Automated Themes and Sentiment Analysis group patterns in minutes. With AI-powered reports, teams move from raw feedback to confident decisions in hours.
Frequently asked questions
Can Maze do moderated testing?
Can Maze do moderated testing?
Yes! Maze supports moderated testing through Interview Studies, allowing teams to schedule, run, and analyze moderated interviews with built-in transcription and AI-powered analysis. Maze users can also deploy Maze’s AI moderator to conduct user interviews. Maze Panel makes recruitment for moderated testing easy, and Maze Reach enables teams to easily manage participants and studies.
Which has more advanced AI functionalities: Maze or Lyssna?
Which has more advanced AI functionalities: Maze or Lyssna?
Maze offers more advanced AI functionalities than Lyssna. Both offer AI text summaries, but Maze also supports bias-free question guidance, AI moderation for interviews, thematic and sentiment analysis, and automated custom reporting.
Which platform is better for remote user research: Maze or Lyssna?
Which platform is better for remote user research: Maze or Lyssna?
Although both Maze and Lyssna support remote testing, Maze offers more remote user research methods—making it the superior option.
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.