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Overview

Maze is a continuous product discovery platform powered by AI. The platform is designed to enhance product research workflow by delivering continuous user insights, thereby aiding in informed product decision-making and business growth.

An integral feature of Maze is its intuitive builder that enables the incorporation of AI-powered tools for effective product research throughout the development process.

Users can also leverage Maze's automated analytics to create customizable, visually-rich reports to facilitate quicker and more informed decisions. The platform offers various testing capabilities including Prototype Testing, Live Website Testing, and Feedback Surveys, among others.

With Maze, recruiting participants for research becomes simplified as it provides access to a global panel of participants. It also allows targeting specific user segments via in-product prompts, URL, or email campaigns.

Essential AI features like dynamic follow-up, contextual suggestions, and bias detection improve the precision and efficiency of your research. Maze also integrates with existing technology stacks, integrating seamlessly with tools like Figma, Sketch, and Amplitude.

For enhanced security, Maze provides enterprise-level protection including encrypted transmission of customer data, access control, and GDPR compliance among others.

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Pros and Cons

Pros

Continuous user insights delivery

Automated analytics for reports

Customizable, visually-rich reporting

Global participant access

Specific user segment targeting

Prototype, Live Website, Feedback Surveys Testing

Dynamic follow-up feature

Contextual suggestions

Bias detection

Integrations with Figma, Sketch, Amplitude

Enterprise-level data protection

Encrypted transmission of customer data

GDPR compliant

Access control

Intuitive builder for product research

Seamless tech stack integration

Automated visually-rich reports

Informed product decision-making

Workflow enhancement

Efficient recruitment of research participants

URL, Email targeting campaigns

In-product prompts

Tree testing

Participant Management

Automated Reports

Feedback and Satisfaction Resources

Path Analysis feature

Video Recording

Access Workspaces

Single Sign On (SSO) Access

Efficiency and Precision enhancement

Design Metrics feature

Heatmaps feature

Customizable templates gallery

Enterprise, Financial Services, Insurance, Tech & Software, Agencies features

Access to pre-built mazes

Integrations with existing tech stack

Continuous Product Discovery

Library of research templates

Panel of participants

Drag-and-drop builder

Data-informed decisions

Role-based workspace access

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Cons

Doesn't support non-visual data

Limited integration options

Data only encrypted in-transit

No disclosure of storage location

Assumes universal participant availability

No real-time collaboration

Dependent on third-party platforms

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Q&A

What is Maze?

Maze is an AI-powered continuous product discovery platform designed to enhance product research workflow. It enables users to construct effective product research actions throughout the development process using intuitive building tools powered by AI. Alongside, users can generate visually-rich, customizable reports through Maze's automated analytics for making swift and informed decisions. Maze offers different testing capabilities and simplifies the process of recruiting participants for research, targeting specific user segments, and integrates smoothly with tools like Figma, Sketch, and Amplitude.

How does Maze integrate with Figma, Sketch, and Amplitude?

Maze integrates smoothly with Figma, Sketch, and Amplitude. This seamless integration ensures that you can effectively and efficiently incorporate Maze into your existing technology stack, enhancing your research process without disrupting established workflows.

What are the testing capabilities of Maze?

Maze offers a variety of testing capabilities. These include Prototype Testing, where you can gather user insights on your product's prototype before full-blown development begins; Live Website Testing, where you evaluate the user-friendliness of your website in real time; and Feedback Surveys, which allow you to gather qualitative data from users, giving you deeper insight into their experiences and preferences.

How can I use Maze's automated analytics for my reports?

Maze's Automated Analytics allow you to create customizable reports adorned with rich visuals. These reports furnish a clearer understanding of your product's reception among users and aid in making informed product decisions. The analytics focus on users' interaction with the product, providing you with precise and actionable user insights.

How can I recruit participants for research using Maze?

Maze simplifies the process of recruiting participants for research. It offers access to a worldwide panel of participants. Furthermore, it allows you to target specific user segments through in-product prompts, URL, or email campaigns, making the recruitment process more efficient and targeted.

What AI features does Maze offer to enhance research efficiency?

Maze provides essential AI features to enhance the precision and efficiency of your research. These features include dynamic follow-up, which ensures that no meaningful user interaction is overlooked; contextual suggestions, which make your research process more smart and adaptable; and bias detection, which helps create a fair and objective perspective towards the product research results.

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What security measures does Maze have in place to protect customer data?

Maze provides enterprise-grade security measures to safeguard customer data. This includes encrypted transmission of customer data, meaning all customer data is securely transported via SSL. In addition, Maze also provides access control allowing you to set up passwords for tests and assign roles for study collaboration. Maze also meets GDPR compliance standards, ensuring data protection according to accepted principles.

Can Maze be incorporated into my existing technology stack?

Yes, Maze can be efficiently incorporated into your existing technology stack. It integrates seamlessly with tools like Figma, Sketch, and Amplitude, ensuring a frictionless addition to your workflow without disrupting established processes.

How does Maze contribute to improved product decision-making and business growth?

Maze helps improve business growth and product decision-making by providing continuously updated consumer insights. These insights, driven by various testing methods and AI-powered tools, guide informed decisions regarding product development. The automated analytics feature of Maze allows generation of visually-rich, customizable reports for quicker decision-making. All of these features contribute significantly to product innovation and business growth.

What does the Maze AI feature do?

Maze AI is an integral feature of the platform that enhances accuracy in research processes. It provides dynamic follow-up, contextual suggestions, and bias detection, improving both the precision and efficiency of your research. Maze AI intelligently uses algorithms to streamline workflows, detect patterns, suggest potential improvements, and reduce bias in results.

How does Maze use machine learning to improve product research workflow?

Maze employs a sophisticated AI algorithm to transform the product research workflow. By offering an intuitive builder that lets you incorporate AI-powered tools, Maze allows for a streamlined, focused, and more productive research operation. Features like dynamic follow-up, contextual suggestions, and bias detection help to refine and perfect the research process.

Can I customize the reports generated by Maze's automated analytics?

Yes, one of the key benefits of Maze's automated analytics is the ability to create customizable reports. You can tailor the reports' insights according to your needs, thus ensuring that your decision-making process is informed by the most relevant data.

What types of tests can Maze perform on live websites?

Maze can perform various types of tests on live websites. This includes evaluation of user interface, accessibility, mobile responsiveness, page speed, and SEO among others. It also includes feedback surveys, which are crucial in gathering qualitative user data and improving user experience.

How does Maze help in prototype testing?

Maze facilitates prototype testing by providing features for conducting user interaction studies on product prototypes. The rich data generated through such testing can guide the product development process, enabling improvements to be made in early stages, mitigating risks, and ensuring a high degree of usability and utility in the final product.

How does Maze facilitate feedback surveys?

Maze facilitates feedback surveys by simplifying the process of creating and distributing these surveys to global panels of participants or targeted user segments. Feedback surveys are critical for gathering direct and qualitative input from users. The feedback thus gathered can drive product improvements, influence product direction, and substantiate data-backed business decisions.

What is Maze's approach to GDPR compliance?

Maze upholds the principles of the General Data Protection Regulation (GDPR). It adopts industry-standard security measures including encrypted data transmission and access control. Also, Maze makes it easy for users to be compliant too, thus diligently ensuring data protection and user's privacy.

How does Maze's intuitive builder work?

Maze's intuitive builder provides you with an array of AI-powered tools to carry out effective product research throughout the development process. The builder is designed to create a cohesive research interface that seamlessly integrates into your existing workflow without much additional learning curve or process alteration.

How can Maze help with targeting specific user segments?

Maze offers features to target specific user segments during your research process. You can directly target these segments through in-product prompts, URL, or email campaigns, ensuring that your research gets to the right audience and generates the most relevant insights.

What type of visual reports can Maze produce?

Maze produces visually-rich, customizable reports via its automated analytics feature. These reports, enriched with user insights and feedback, provide a comprehensive understanding of the product's usability and performance from the user's perspective, thus aiding in well-rounded and insightful decision-making.

What is Maze's approach to bias detection in research?

Maze uses AI to detect potential bias in research–a factor that could significantly skew results and insights. By identifying such bias, Maze ensures your research outputs stay objective, reliable, and genuinely reflective of user interactions and expectations.

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