Hubble vs Maze: Features, AI Research & Pricing

Hubble vs Maze at a glance

Both platforms support multiple research methods. Compare the details that shape your day-to-day workflow: how you run interviews, reach participants, collect feedback, and work with AI.

Dimension

Hubble

Maze

AI-moderated interviews

Custom discussion guides, adaptive follow-ups, and visual stimuli.

Goal-based interviews with structured or freeform discussion; available on Enterprise plans.

In-product feedback

Surveys triggered by product events and targeted using behavior or user attributes.

In-Product Prompts with URL targeting and Amplitude cohorts.

Participant recruitment

Your own participants, Respondent, and User Interviews.

Your own participants and Maze Panel, which lists Prolific and Respondent.

MCP workflows

Published workflows cover study drafts, recruitment preparation, and research analysis.

in Beta Mode

Enterprise pricing

Custom pricing; confirm seats, usage, research methods, and recruitment in your proposal.

Plan-dependent capabilities; confirm research methods, usage, and panel credits in your proposal.

Feature availability and recruitment options depend on your plan, study type, and selected provider.

WHY CONSIDER HUBBLE

Three workflows that differentiate Hubble vs Maze

See how Hubble supports the work around your studies—from reaching the right people to collecting feedback in context and preparing your next research project.

MCP

Put AI to work across your research workflow

Use AI to help build studies, coordinate recruitment, and synthesize findings. Hubble connects research tasks into a workflow your team can direct from an AI assistant.

In-product survey triggered after a product action for a targeted audience

IN-PRODUCT SURVEYS

Ask the right users, at the right moment

Trigger in-product surveys around meaningful user actions and target audiences by behavior, plan type, or custom attributes. Collect feedback in the context of the experience you’re researching.

Recruitment routes from your participants, Respondent, and User Interviews into a study

PARTICIPANT RECRUITMENT

Powerful Recruitment for external and internal participants

Find participants through two established research recruitment providers, then manage scheduling, participation, and payments inside Hubble.

AI assistant request turned into a draft study and recruitment draft ready for review

"Hubble offers one of the industry's fullest MCP capabilities, participant pool integrations and other AI-first features which were important factors we considered before choosing to switch to Hubble."

Donald Cox

Senior UX Researcher, Ping Identity

Switched from Maze

G2 index

Hubble

Maze

Usability?

8.9

7.6

Implementation?

8.9

8.0

Relationship?

9.2

7.9

Results?

8.7

7.4

Source: G2 Fall 2026 Usability, Implementation, Relationship and Results Index reports for User Research. Scores out of 10.

FEATURE COMPARISON

Hubble vs Maze: Key Features

How the two platforms compare across research methods, participants, AI and plans.

Capability

Maze

RESEARCH METHODS

Prototype usability testing

Live website testing

Surveys

Card sorting and tree testing

Human-moderated interviews

Enterprise only.

Silent observer room for moderated sessions

Stakeholders watch live and chat privately, unseen by participants.

Native mobile testing and screen recording

Available through Hubble’s mobile testing workflow.

Available through the Maze Participate app.

Five-second and first-click tests

AI-MODERATED RESEARCH

AI-moderated interviews

Discussion guides and adaptive follow-ups.

Goal-based interviews with adaptive follow-ups; Enterprise only.

Visual stimuli in AI interviews

Supports visual assets and prototypes.

Supports images and website or prototype links.

Interview transcription and AI analysis

Transcripts, summaries, and key themes.

Transcripts, summaries, and themes; Enterprise only.

PARTICIPANTS AND IN-PRODUCT FEEDBACK

Participant CRM

Participant CRM and invitations.

Only available for unmoderated studies

External recruitment

Respondent and User Interviews.

Maze Panel, including Prolific and Respondent. Respondent participants supported for moderated studies only.

In-product feedback

Surveys with custom-event and user-attribute targeting.

In-Product Prompts with URL targeting and Amplitude cohorts.

AI ASSISTANT WORKFLOWS

MCP integration

Beta stage with no create capability

Documented MCP workflow

Study creation, recruitment preparation, and analysis.

Research retrieval, transcripts, summaries, and further analysis.

STUDY OPERATIONS AND REPORTING

Interview scheduling

Built-in scheduling with calendar sync.

AI study builder

Draft studies, screeners, and questions with AI.

Enterprise only; AI rephrasing on Starter.

Automated reports and sharing

Shareable reports and highlight clips with public sharing

Enterprise only.

Figma prototype integration

Supports multiple Figma integrations

SECURITY AND ADMIN

SSO and role-based access

Capabilities vary by plan and workflow. The descriptions above summarize published documentation; they are not a claim that every feature is included in every subscription.

Compare the full cost of your research workflow

Start with the same requirements for both platforms: team access, research methods, study volume, recruitment, incentives, and security.

HUBBLE

A proposal built around your team

Hubble offers custom Enterprise pricing. Ask for a proposal that reflects the seats, research methods, participant recruitment, and support your team needs.

MAZE

Confirm the package behind the features

Maze makes capabilities available by plan, with AI-moderated studies listed for Enterprise. Review the included methods, usage allowances, and panel credits when comparing proposals.

Confirm whether recruitment, incentives, and additional usage are included or billed separately.

Discuss your research needs

About this comparison

Hubble publishes this comparison using publicly available product, support, and pricing information. It is not an independent product benchmark. Features, packaging, and availability can change; confirm the details relevant to your team with each provider.

Hubble: [2] AI-moderated interviews, [4] in-product research, [6] pricing and features, [8] MCP study creation and recruitment, [10] mobile testing, [13] participant CRM

Maze: [3] AI-moderated studies, [5] in-product prompts, [7] research panel, [9] MCP, [11] mobile testing, [12] pricing and features, [14] transcript downloads

EVALUATING A MAZE ALTERNATIVE

Start with a study, not a full migration

Choose a real research project and use it to evaluate Hubble’s setup, participant experience, and analysis before deciding how much of your program to move.

Choose a representative project

Pick a study that reflects how your team actually works, including its research method, audience, and stakeholder requirements.

Prepare your study materials

Review your questions, prototypes, participant lists, and consent requirements. Confirm which materials can be reused and which need to be rebuilt.

Evaluate the workflow end to end

Run the study and assess recruitment, participant experience, analysis, and sharing before expanding your use of Hubble.

Frequently asked questions

What is the difference between Hubble and Maze?

Both platforms support multiple research methods. Hubble brings together usability testing, AI-moderated interviews, participant management, and contextual in-product surveys. Compare the specific workflows you need—especially recruitment sources, feedback targeting, AI tools, and plan access—rather than relying only on feature names.

Does Maze offer AI-moderated interviews?

Yes. Maze offers AI-moderated studies on Enterprise plans, including adaptive follow-ups, multiple languages, and visual stimuli. Hubble also offers AI-moderated interviews. Evaluate both using your own research objectives, discussion guide, and participant audience.

Can both platforms collect in-product feedback?

Yes. Hubble supports surveys triggered by custom events and targeted using behavior or user attributes. Maze offers In-Product Prompts with URL targeting and Amplitude cohorts. Compare the targeting rules and participant experience required for your use case.

How does participant recruitment compare?

Hubble supports your own participants and recruitment through Respondent and User Interviews. Maze supports your own participants and a panel that lists Prolific and Respondent. Provider availability and recruitment costs should be checked for your study type and audience.

Do Hubble and Maze both support MCP?

Hubble offers a production MCP integration that supports study creation, recruitment preparation, and analysis from compatible AI tools. Maze’s MCP is still in beta and focuses on accessing and analyzing existing research.

How should we compare pricing?

Request proposals based on the same research program: seats, study volume, AI interviews, recruitment, incentives, and security requirements. Compare what is included and how additional usage is billed, rather than comparing starting prices alone.

Compare the full cost of your research workflow

A proposal built around your team

Confirm the package behind the features

Start with a study, not a full migration

Choose a representative project

Prepare your study materials

Evaluate the workflow end to end

Frequently asked questions

What is the difference between Hubble and Maze?

Does Maze offer AI-moderated interviews?

Can both platforms collect in-product feedback?

How does participant recruitment compare?

Do Hubble and Maze both support MCP?

How should we compare pricing?

See how Hubble fits your next study