January 5, 2026
3 min

7 Alternatives to Maze for User Testing & Research (Better Options for Reliable Insights)

Maze has built a strong reputation for rapid prototype testing and quick design validation. For product teams focused on speed and Figma integration, it offers an appealing workflow. But as research programs mature and teams need deeper insights to inform strategic decisions, many discover that Maze's limitations create friction. Platform reliability issues, restricted research depth, and a narrow focus on unmoderated testing leave gaps that growing teams can't afford.

If you're exploring Maze alternatives that deliver both speed and substance, here are seven platforms worth evaluating.

Why Look for a Maze Alternative?

Teams typically start searching for Maze alternatives when they encounter these constraints:

  • Limited research depth: Maze does well at at surface-level feedback on prototypes but struggles with the qualitative depth needed for strategic product decisions. Teams often supplement Maze with additional tools for interviews, surveys, or advanced analysis.
  • Platform stability concerns: Users report inconsistent reliability, particularly with complex prototypes and enterprise-scale studies. When research drives major business decisions, platform dependability becomes critical.
  • Narrow testing scope: While Maze handles prototype validation well, it lacks sophistication in other research methods and the ability to do deep analytics. These are all things that comprehensive product development requires. 
  • Enterprise feature gaps: Organizations with compliance requirements, global research needs, or complex team structures find Maze's enterprise offerings lacking. SSO, role-based access and dedicated support come only at the highest tiers, if at all.
  • Surface-level analysis and reporting capabilities: Once an organization reaches a certain stage, they start needing in-depth analysis and results visualizations. Maze currently only provides basic metrics and surface-level analysis without the depth required for strategic decision-making or comprehensive user insight.

What to Consider When Choosing a Maze Alternative

Before committing to a new platform, evaluate these key factors:

  • Range of research methods: Does the platform support your full research lifecycle? Look for tools that handle prototype testing, information architecture validation, live site testing, surveys, and qualitative analysis.
  • Analysis and insight generation: Surface-level metrics tell only part of the story. Platforms with AI-powered analysis, automated reporting, and sophisticated visualizations transform raw data into actionable business intelligence.
  • Participant recruitment capabilities: Consider both panel size and quality. Global reach, precise targeting, fraud prevention, and verification processes determine whether your research reflects real user perspectives.
  • Enterprise readiness: For organizations with compliance requirements, evaluate security certifications (SOC 2, ISO), SSO support, role-based permissions, and dedicated account management.
  • Platform reliability and support: Research drives product strategy. Choose platforms with proven stability, comprehensive documentation, and responsive support that ensures your research operations run smoothly.
  • Scalability and team collaboration: As research programs grow, platforms should accommodate multiple concurrent studies, cross-functional collaboration, and shared workspaces without performance degradation.

Top Alternatives to Maze

1. Optimal: Comprehensive User Insights Platform That Scales

All-in-one research platform from discovery through delivery

Optimal delivers end-to-end research capabilities that teams commonly piece together from multiple tools. Optimal supports the complete research lifecycle: participant recruitment, prototype testing, live site testing, card sorting, tree testing, surveys, and AI-powered interview analysis.

Where Optimal outperforms Maze:

Broader research methods: Optimal provides specialized tools and in-depth analysis and visualizations that Maze simply doesn't offer. Card sorting and tree testing validate information architecture before you build. Live site testing lets you evaluate actual websites and applications without code, enabling continuous optimization post-launch. This breadth means teams can conduct comprehensive research without switching platforms or compromising study quality.

Deeper qualitative insights: Optimal's new Interviews tool revolutionizes how teams extract value from user research. Upload interview videos and AI automatically surfaces key themes, generates smart highlight reels with timestamped evidence, and produces actionable insights in hours instead of weeks. Every insight comes with supporting video evidence, making stakeholder buy-in effortless.

AI-powered analysis: While Maze provides basic metrics and surface-level reporting, Optimal delivers sophisticated AI analysis that automatically generates insights, identifies patterns, and creates export-ready reports. This transforms research from data collection into strategic intelligence.

Global participant recruitment: Access to over 100 million verified participants across 150+ countries enables sophisticated targeting for any demographic or market. Optimal's fraud prevention and quality assurance processes ensure participant authenticity, something teams consistently report as problematic with Maze's smaller panel.

Enterprise-grade reliability: Optimal serves Fortune 500 companies including Netflix, LEGO, and Apple with SOC 2 compliance, SSO, role-based permissions, and dedicated enterprise support. The platform was built for scale, not retrofitted for it.

Best for: UX researchers, design and product teams, and enterprise organizations requiring comprehensive research capabilities, deeper insights, and proven enterprise reliability.

2. UserTesting: Enterprise Video Feedback at Scale

Established platform for moderated and unmoderated usability testing

UserTesting remains one of the most recognized platforms for gathering video feedback from participants. It excels at capturing user reactions and verbal feedback during task completion.

Strengths: Large participant pool with strong demographic filters, robust support for moderated sessions and live interviews, integrations with Figma and Miro.

Limitations: Significantly higher cost at enterprise scale, less flexible for navigation testing or survey-driven research compared to platforms like Optimal, increasingly complex UI following multiple acquisitions (UserZoom, Validately) creates usability issues.

Best for: Large enterprises prioritizing high-volume video feedback and willing to invest in premium pricing for moderated session capabilities.

3. Lookback: Deep Qualitative Discovery

Live moderated sessions with narrative insights

Lookback specializes in live user interviews and moderated testing sessions, emphasizing rich qualitative feedback over quantitative metrics.

Strengths: Excellent for in-depth qualitative discovery, strong recording and note-taking features, good for teams prioritizing narrative insights over metrics.

Limitations: Narrow focus on moderated research limits versatility, lacks quantitative testing methods, smaller participant pool requires external recruitment for most studies.

Best for: Research teams conducting primarily qualitative discovery work and willing to manage recruitment separately.

4. PlaybookUX: Bundled Recruitment and Testing

Built-in participant panel for streamlined research

PlaybookUX combines usability testing with integrated participant recruitment, appealing to teams wanting simplified procurement.

Strengths: Bundled recruitment reduces vendor management, straightforward pricing model, decent for basic unmoderated studies.

Limitations: Limited research method variety compared to comprehensive platforms, smaller panel size restricts targeting options, basic analysis capabilities require manual synthesis.

Best for: Small teams needing recruitment and basic testing in one package without advanced research requirements.

5. Lyssna: Rapid UI Pattern Validation

Quick-turn preference testing and first-click studies

Lyssna (formerly UsabilityHub) focuses on fast, lightweight tests for design validation; preference tests, first-click tests, and five-second tests.

Strengths: Fast turnaround for simple validation, intuitive interface, affordable entry point for small teams.

Limitations: Limited scope beyond basic design feedback, small participant panel with quality control issues, lacks sophisticated analysis or enterprise features.

Best for: Designers running lightweight validation tests on UI patterns and early-stage concepts.

6. Hotjar: Behavioral Analytics and Heatmaps

Quantitative behavior tracking with qualitative context

Hotjar specializes in on-site behavior analytics; heatmaps, session recordings, and feedback widgets that reveal how users interact with live websites.

Strengths: Valuable behavioral data from actual site visitors, seamless integration with existing websites, combines quantitative patterns with qualitative feedback.

Limitations: Focuses on post-launch observation rather than pre-launch validation, doesn't support prototype testing or information architecture validation, requires separate tools for recruitment-based research.

Best for: Teams optimizing live websites and wanting to understand actual user behavior patterns post-launch.

7. UserZoom: Enterprise Research at Global Scale

Comprehensive platform for large research organizations

UserZoom (now part of UserTesting) targets enterprise research programs requiring governance, global reach, and sophisticated study design.

Strengths: Extensive research methods and study templates, strong enterprise governance features, supports complex global research operations.

Limitations: Significantly higher cost than Maze or comparable platforms, complex interface with steep learning curve, integration with UserTesting creates platform uncertainty.

Best for: Global research teams at large enterprises with complex governance requirements and substantial research budgets.

Final Thoughts: Choosing the Right Maze Alternative

Maze serves a specific need: rapid prototype validation for design-focused teams. But as research programs mature and insights drive strategic decisions, teams need platforms that deliver depth alongside speed.

Optimal stands out by combining Maze's prototype testing capabilities with the comprehensive research methods, AI-powered analysis, and enterprise reliability that growing teams require. Whether you're validating information architecture through card sorting, testing live websites without code, or extracting insights from interview videos, Optimal provides the depth and breadth that transforms research from validation into strategic advantage.

If you're evaluating Maze alternatives, consider what your research program needs six months from now, not just today. The right platform scales with your team, deepens your insights, and becomes more valuable as your research practice matures.

Try Optimal for free to experience how comprehensive research capabilities transform user insights from validation into strategic intelligence.

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Optimal vs SurveyMonkey

UX and product teams struggle with fragmented workflows when using traditional survey-only platforms like SurveyMonkey. Teams end up juggling multiple tools for surveys, usability testing, information architecture, and participant recruitment, creating data silos and ballooning costs.

Optimal unifies the entire UX research workflow in a single platform with unlimited seats, integrated recruitment, and purpose-built UX tools.

Beyond Surveys: Complete UX Research vs Single-Method Tool

SurveyMonkey does one thing well: Surveys.  It's built for market research, employee feedback and event registrations. But most UX teams need additional methods to complete their research including: card sorting, tree testing, prototype testing, and usability studies. SurveyMonkey offers none of these, forcing you to purchase additional platforms.

Optimal provides the complete UX toolkit. Surveys, card sorting,  tree testing, first-click testing,  prototype testing, and interviews, all in one platform with integrated analysis.

17 years of UX expertise. Optimal isn't a generic survey tool adapted for research. Every feature is purpose-built for understanding user behavior and optimizing digital experiences, proven by companies like Netflix and Uber.

Per-Seat Pricing vs Unlimited Seats

SurveyMonkey's per-seat model creates scaling challenges. Every new team member who needs research access means another line item in your budget. As your research practice matures and more people across product, design, and marketing want to run studies, costs multiply. 

Optimal's unlimited seat model changes the economics. Pay for usage, not headcount. Whether you have 5 researchers or 50 people conducting studies across product, design, and marketing teams, the cost stays the same. No budget negotiations when a new PM wants to run a study. No choosing between cost and collaboration.

Hidden costs multiply with seat-based pricing. Beyond per-user fees, SurveyMonkey charges for responses beyond plan limits. A growing team means higher seat costs AND higher overage fees as research scales.

Unlimited seats enable research democratization. When anyone can conduct research without impacting the budget, UX thinking spreads across your organization, without procurement approvals for each new seat.

Participant Recruitment: Built-In vs Bring Your Own

SurveyMonkey requires DIY recruitment. You get distribution tools (email, links, QR codes) but no participants. You must build your own panel or purchase SurveyMonkey Audience separately, with additional per-response fees that vary by audience type.

Launch research in minutes with Optimal. Design your study, specify demographics, and recruit qualified participants immediately. No vendor coordination, no delays, no managing multiple relationships.

Quality and reach matter. Optimal's recruitment includes quality checks and access to niche audiences (healthcare professionals, developers, executives) that require expensive custom recruitment through SurveyMonkey.

Fully Managed or DIY Recruitment: Flexibility to Suit Your Needs. Optimal offers fully managed recruitment as well as DIY recruitment and an on-demand panel. Whether you prefer hands-on control or a completely managed process, we have you covered. With Managed Recruitment, our dedicated in-house team handles everything from briefing to delivery. The team sources from a global pool of vetted participants across multiple trusted providers and selects the panel to ensure that you can quickly connect with your target users. Need to refine targeting mid-project? No problem. We’ll refine your criteria seamlessly to keep your study on track, no matter the changes.With SurveyMonkey, you’re left to build your own panel or purchase SurveyMonkey Audience separately, with extra per-response fees based on audience type, which can quickly escalate costs.

Advanced Targeting: Precision Recruitment for Your Exact Needs. At Optimal, we empower you with the ability to recruit precisely the audience you need, even for niche or hard-to-reach groups. Unlike SurveyMonkey Audience, where targeting is limited to preset criteria, Optimal Managed Recruitment gives you the flexibility to create custom, free-form targeting criteria. Whether you're seeking healthcare professionals, developers, or executives, we’ll ensure you get the exact participants required to deliver actionable insights.

Transparent, All-Inclusive Pricing: No Hidden Fees, No Surprises. Optimal has no hidden recruitment fees or per-question charges. The cost of recruitment is all-inclusive, with no additional costs for screening questions or response limits. By contrast, pricing can quickly add up with SurveyMonkey’s additional costs for screening questions, question types, and length of surveys. As an example, for matrix/scale questions, each row of a question counts as a separate question, increasing the overall cost.

Optimize Your Screeners: Expert Support for Better Results. Optimal's Managed Recruitment helps you optimize your screeners for free. Our team ensures that your screeners filter participants effectively and can even help you write them if needed. We optimize for quality and feasibility, ensuring the best-fit participants.

Why Choose Optimal? 

SurveyMonkey excels as a general-purpose survey platform, but UX and product teams quickly hit its limits. Per-user pricing and panel recruitment costs scales expensively, there are no UX-specific research methods, and recruitment requires separate coordination.

Optimal delivers more value for less:

  • Unlimited seats vs per-user fees 
  • Fully Managed or DIY Recruitment flexible options to meet your needs
  • Complete UX toolkit including surveys, usability testing, card sorting, and more
  • Purpose-built for UX with 17 years of research expertise

For teams serious about understanding users and building better products, Optimal eliminates workflow complexity while providing significantly more capability per dollar.

Ready to see the difference? Start your free trial.

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5 Alternatives to Askable for User Research and Participant Recruitment

When evaluating tools for user testing and participant recruitment, Askable often appears on the shortlist, especially for teams based in Australia and New Zealand. But in 2025, many researchers are finding Askable’s limitations increasingly difficult to work around: restricted study volume, inconsistent participant quality, and new pricing that limits flexibility.

If you’re exploring Askable alternatives that offer more scalability, higher data quality, and global reach, here are five strong options.

1. Optimal: Best Overall Alternative for Scalable, AI-Powered Research 

Optimal is a comprehensive user insights platform supporting the full research lifecycle, from participant recruitment to analysis and reporting. Unlike Askable, which has historically focused on recruitment, Optimal unifies multiple research methods in one platform, including prototype testing, card sorting, tree testing, and AI-assisted interviews.

Why teams switch from Askable to Optimal

1. You can only run one study at a time in Askable

Optimal removes that bottleneck, letting you launch multiple concurrent studies across teams and research methods.

2. Askable’s new pricing limits flexibility 

Optimal offers scalable plans with unlimited seats, so teams only pay for what they need.

3. Askable’s participant quality has dropped

Optimal provides access to over 100+ million verified participants worldwide, with strong fraud-prevention and screening systems that eliminate low-effort or AI-assisted responses.



Additional advantages

  • End-to-end research tools in one workspace
  • AI-powered insight generation that tags and summarizes automatically
  • Enterprise-grade reliability with decade-long market trust
  • Dedicated onboarding and SLA-backed support

Best for: Teams seeking an enterprise-ready, scalable research platform that eliminates the operational constraints of Askable.

2. UserTesting: Best for Video-Based Moderated Studies

UserTesting remains one of the most established platforms for moderated and unmoderated usability testing. It excels at gathering video feedback from participants in real time.

Pros:

  • Large participant pool with strong demographic filters
  • Supports moderated sessions and live interviews
  • Integrations with design tools like Figma and Miro


Cons:

  • Higher cost at enterprise scale
  • Less flexible for survey-driven or unmoderated studies compared with Optimal
  • The UI has become increasingly complex and buggy as UserTesting has been expanding their platform through acquisitions such as UserZoom and Validately.


Best for: Companies prioritizing live, moderated usability sessions.

3. Maze: Best for Product Teams Using Figma Prototypes

Maze offers seamless Figma integration and focuses on automating prototype-testing workflows for product and design teams.

Pros:

  • Excellent Figma and Adobe XD integration
  • Automated reporting
  • Good fit for early-stage design validation

Cons:

  • Limited depth for qualitative research
  • Smaller participant pool

Best for: Design-first teams validating prototypes and navigation flows.

4. Lyssna (formerly UsabilityHub): Best for Fast Design Feedback

Lyssna focuses on quick-turn, unmoderated studies such as preference tests, first-click tests, and five-second tests.

Pros:

  • Fast turnaround
  • Simple, intuitive interface
  • Affordable for smaller teams

Cons:

  • Limited participant targeting options
  • Narrower study types than Askable

Best for: Designers and researchers running lightweight validation tests.

5. Dovetail: Best for Research Repository and Analysis

Dovetail is primarily a qualitative data repository rather than a testing platform. It’s useful for centralizing and analyzing insights from research studies conducted elsewhere.

Pros:

  • Strong tagging and note-taking features
  • Centralized research hub for large teams

Cons:

  • Doesn’t recruit participants or run studies
  • Requires manual uploads from other tools like Askable or UserTesting

Best for: Research teams centralizing insights from multiple sources.

Final Thoughts on Alternatives to Askable

If your goal is simply to recruit local participants, Askable can still meet basic needs. But if you’re looking to scale research in your organization, integrate testing and analysis, and automate insights, Optimal stands out as the best long-term investment. Its blend of global reach, AI-powered analysis, and proven enterprise support makes it the natural next step for growing research teams. You can try Optimal for free here.

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Unlocking UX excellence: Practical use cases for Optimal's UX research platform

In today's digital landscape, delivering exceptional user experiences is no longer optional – it's essential for success. At Optimal, we're committed to empowering UX professionals and organizations with the best-in-class tools and methodologies to create outstanding digital products and experiences. 

In this blog post, we'll explore practical use cases that demonstrate how Optimal's research platform can drive meaningful improvements across various UX scenarios.

Use case 1: Make Collaborative Design Decisions or A/B Test a Design

Refining an existing product? Launching a new website? Rebranding? Optimal's user research platform empowers your team to make informed, collaborative decisions. Here's how to leverage our tools for impactful results:

1. Qualitative Insights: Establish organizational priorities

  • Use Qualitative Insights to develop a comprehensive list of top tasks or goals from your organization's perspective.
  • Engage stakeholders across departments to ensure alignment on key objectives.

2. Surveys: Validate user priorities and pain points

  • Deploy a targeted survey to confirm users' top tasks and identify existing issues.
  • Gather quantitative data to support or challenge organizational assumptions about user needs.

3. First-click Testing: Conduct preference testing

  • Use First-Click Testing to evaluate the effectiveness of different design options.
  • This method provides valuable insights for A/B testing decisions, ensuring designs resonate with your target audience.

4. Qualitative Insights: Deep dive into user preferences

  • Conduct follow-up interviews or focus groups using our Qualitative Insights to gain a deeper understanding of user preferences and experiences with different design options.
  • Explore the 'why' behind user choices to inform more nuanced design decisions.

5. Prototype Testing: Validate interaction flows and usability


  • Use Prototype Testing to observe how users interact with early-stage designs.
  • Test navigation, UI components, and task flows to ensure your prototypes align with user expectations—before costly development begins.

6. Interviews: Capture rich, contextual feedback


  • Conduct live, moderated Interviews directly within Optimal to explore user reactions and behaviors.
  • Use screen recordings and notes to uncover deeper insights behind user choices and refine design decisions with confidence.

By embedding user insights at every stage, your team can confidently design experiences that don’t just look good but work for real people. Optimal empowers you to make faster, more informed decisions that drive meaningful outcomes across your organization.

Use case 2: Developing effective content strategies

Developing a robust content strategy is crucial for intranets, help documents, websites, and product copy. Optimal's user research and insights platform empowers you to create content that resonates with your audience and drives engagement. Here's how to leverage our tools for effective content strategy development:

1. Card Sorting: Organize content intuitively

  • Use Card Sorting to understand how users naturally categorize and group your content.
  • Gain insights into users' mental models to inform your content hierarchy and organization.
  • Apply findings to create a content structure that aligns with user expectations, enhancing findability and engagement.

2. Tree Testing: Validate information architecture

  • Employ Tree Testing to confirm whether information placed within your proposed hierarchy is findable and understandable.
  • Identify areas where users struggle to locate content, enabling you to refine your structure for optimal user experience.
  • Iterate on your information architecture based on concrete user data, ensuring your content is easily accessible.
  • Test different content structures and then compare them with each other using the task comparison tool available in Optimal to understand which structure is most likely to drive users to perform the targeted actions.

3. Qualitative Insights: Analyze language perceptions

  • Leverage Qualitative Insights to conduct in-depth interviews or focus groups.
  • Explore user perceptions of terminology, language style, and content tone.
  • Gather rich insights to inform your content voice and style guide, ensuring your messaging resonates with your target audience.

4. Additional Applications of Qualitative Insights

   Expand your content strategy research by using Qualitative Insights to:

  • Review internal tools and processes to streamline content creation workflows.
  • Compare content experiences across desktop and mobile devices for consistency.
  • Gather event feedback to inform content for future marketing materials.
  • Analyze customer service and support interactions to identify common issues and FAQs.
  • Conduct usability testing on existing content to identify areas for improvement.

   Key questions to explore:

  • What's working well in your current content?
  • What's not resonating with users?
  • What are users' first impressions of your content?
  • How do users typically interact with your content?
  • How well does your content foster empathy and connection with your audience?

By systematically applying these research methods, you'll develop a content strategy that not only meets your organizational goals but also deeply resonates with your audience. Remember, content strategy is an ongoing process. Regularly use Optimal's tools to assess the effectiveness of your content, gather user feedback, and iteratively improve your approach for continued success.

Use case 3: Increase website conversion

Empower your team to boost conversion rates by leveraging Optimal's best-in-class user research and insights platform. Here's how you can unlock meaningful improvements:

1. Qualitative Insights & Surveys: Uncover user motivations

  • Conduct in-depth interviews or targeted surveys to gather rich, qualitative feedback about user experiences, motivations, and pain points on your site.
  • Add an intercept snippet to your existing website to survey users as they come to your website to get a clear understanding of user motivations in context.
  • Analyze responses to identify key themes and opportunities for optimization.

2. Tree Testing: Optimize navigation structure

  • Use our Tree Testing tool to evaluate the effectiveness of your site's navigation structure.
  • Identify areas where users struggle to find information, enabling you to streamline pathways to conversion.

3. Card Sorting: Enhance information architecture

  • Leverage Card Sorting tool to understand how users naturally categorize your site's information.
  • Apply insights to refine the layout of product features or benefits on your landing pages, aligning with user expectations.

4. Prototype Testing: Validate Design Changes

  • Develop prototypes of new landing pages or key conversion elements (like CTAs) using our Prototype Testing tool.
  • Conduct first-click tests to ensure your design changes resonate with users and drive desired actions.

5. Follow-up Qualitative Insights: Iterate and improve

  • After implementing changes, conduct follow-up interviews or surveys to gauge the impact of your optimizations.
  • Gather feedback on the improved user experience and identify any remaining pain points.

By systematically applying these research methods, you'll gain the actionable insights needed to create a more intuitive, engaging, and conversion-friendly website. Optimal empowers you to make data-driven decisions that not only boost conversions but also enhance overall user satisfaction.

Embracing mixed methods research

To truly unlock the power of user research, we recommend a mixed methods approach. By combining quantitative data from surveys and usability tests with qualitative insights from interviews and open-ended responses, you can gain a comprehensive understanding of your users' needs and behaviors.

For more information on mixed methods research and how it can enhance your UX strategy, check out our detailed guide: What is mixed methods research?

And that’s a wrap

Optimal's user research and insights platform provides the tools and methodologies you need to deliver exceptional digital experiences. By leveraging these use cases and adopting a mixed methods approach, you can make data-driven decisions that resonate with your users and drive business success.

Remember, great UX is an ongoing journey. Regularly employ these research methods to stay attuned to your users' evolving needs and preferences. With Optimal as your partner, you're equipped to create digital products and experiences that truly stand out in today's competitive landscape.

Ready to elevate your UX research? Explore Optimal's platform and start unlocking actionable insights today!

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