Hubble vs Marvin

Hubble vs Marvin at a glance

Hubble brings study design, participant recruitment, and analysis into one research workflow. Marvin emphasizes qualitative analysis and a centralized research repository, with tools for live intercepts and interviews. Compare where each platform fits your team’s research needs.

Dimension

Hubble

Marvin

Research focus

Run end-to-end research from study setup and recruitment through testing, analysis, and reporting.

Centralize customer knowledge, conduct interviews, and analyze findings across research and feedback sources.

Study design and methods

Unmoderated prototype, survey, live website/app, mobile, and information architecture testing, plus AI-moderated interviews, live interviews, and in-product surveys.

Live Intercept, AI-moderated interviews, and live interviews. Import data from other tools for additional research methods.

AI-moderated interviews

Custom discussion guides, adaptive follow-ups, visual stimuli, and AI interviews within broader study flows.

Custom discussion guides, adjustable probing, and prototype feedback connected to the research repository.

Participant recruitment

Built-in recruitment through User Interviews and Respondent, with screening, scheduling, and incentive payouts. Invite and manage your own participants through Hubble’s participant CRM.

No built-in participant recruitment. Bring your own users or recruit through external providers, then manage participant records through Marvin’s Research Panel and integrations.

Analysis and knowledge management

Analyze study results with behavioral metrics, AI summaries, and reports; search across studies through MCP.

Organize research with shared tags, analyze interviews and imported feedback, and make findings searchable across a centralized repository.

WHY CONSIDER HUBBLE

Build, recruit, and run research in one place

Hubble connects the work of running research from choosing your methods and finding participants to collecting evidence and sharing findings.

FLEXIBLE STUDY DESIGN

Choose the methods your research needs

Build surveys, test prototypes and live websites, evaluate mobile experiences, and explore information architecture with card sorting and tree testing. Combine tasks and questions in one study, or run AI-moderated and live interviews to dig deeper.

In-product survey triggered after an export event

INTEGRATED PARTICIPANT RECRUITMENT

Find your audience. Keep recruitment connected.

Recruit through User Interviews and Respondent, or invite your own users through Hubble’s participant CRM. Manage screening, scheduling, participation, and incentive payouts alongside your studies, keeping recruitment and research execution in one workflow.

Mobile test with screen recording, task prompt and research note

AI ACROSS YOUR WORKFLOW

Turn research questions into studies and findings

Use AI to help draft studies, build surveys and usability tests, and synthesize results. Through Hubble’s MCP connection, work from a compatible AI assistant to prepare studies, launch recruitment, and explore findings with your team directing each step.

AI-moderated interview in Spanish with English transcript

“We have continued our partnership with Hubble because compared to other competing platforms, it gives us all the AI tools that we need to collect continuous user research insights for our fast-moving design team.”

Moxie Wanderlust

Head of Design, G

Current Hubble Customer

G2 index

Hubble

Marvin

Usability?

8.9

8.3

Implementation?

8.9

8.2

Relationship?

9.2

8.8

Results?

8.7

8.2

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

FEATURE COMPARISON

Hubble vs Marvin: Key Features

Compare research methods, participant recruitment, AI workflows, and knowledge management. The table distinguishes tools for running studies from capabilities for analyzing imported research. Availability may depend on your plan and study type.

Capability

Hubble

Marvin

RESEARCH METHODS & STUDY DESIGN

AI-moderated interviews

Custom guides, adaptive follow-ups, and visual stimuli

Custom guides, adjustable probing, and visual stimuli

Live moderated interviews

Moderated studies with participant scheduling

Live interviews with recording, AI notes, and stakeholder observation

Native survey builder

Standalone surveys and questions within broader studies

Import surveys from external tools for analysis

Dedicated Figma prototype testing

Prototype tasks with heatmaps, recordings, and navigation analysis

Prototype feedback within AI interviews; dedicated task analytics not verified

Dedicated live website testing

Website tasks with participant recordings

Website feedback within AI interviews; embedded URLs must be supported

Dedicated mobile testing

Mobile testing and screen recording

AI interview prototype testing requires a desktop browser

Card sorting

Native card-sorting tasks

Can analyze card-sort results imported from supported tools

Tree testing

Native tree-testing tasks

No native tree-testing study builder

Timed first-impression testing

Configurable image exposure time

No native timed first-impression task

Multiple research tasks in one study

Combine usability tasks, survey questions, and AI interviews

Interview guides can include questions and prototype feedback

In-product feedback

Surveys and NPS prompts triggered by events and user attributes

Live Intercept for in-context qualitative feedback

PARTICIPANT RECRUITMENT & MANAGEMENT

Bring your own participants

Integrated external participant recruitment

Recruit through User Interviews and Respondent

Recruit externally and distribute Marvin study links

Panel targeting and screening

Audience targeting and custom screeners through recruitment integrations

Managed through external recruitment providers

Panel incentive payouts

Manage payouts within the recruitment workflow

Managed externally; completion redirects support panel tracking

Participant CRM / contact management

Profiles, attributes, segments, and participation history

Research Panel with participant records, custom fields, and cohort filters

ANALYSIS & KNOWLEDGE MANAGEMENT

Recording transcription and AI summaries

AI-assisted themes and reporting

Analyze responses and generate study reports

Analyze interviews and imported feedback; create insight reports

Behavioral usability analysis

Prototype heatmaps, navigation analysis, and recordings

Interview recordings and imported usability data; equivalent native metrics not verified

Research organization and retrieval

Organize studies and search findings across studies through MCP

Centralized Knowledge Hub with repository-wide search and Ask AI

Shared research taxonomy

Global tags and categories for organizing research

Global tags and categories for organizing research

Analysis of data from external tools

Custom upload recordings for advanced AI-assisted analysis

Imports from survey, research, sales, and support tools

Ongoing distribution of insights

Study reports and access to findings through MCP

Reports, clips, highlight reels, and topic subscriptions

AI CREATION & MCP WORKFLOWS

AI-assisted research setup

Generate studies and refine questions

Generate and customize discussion guides

MCP research retrieval

Search studies and retrieve cited findings

Search customer knowledge and retrieve cited findings

MCP write capabilities

Build and publish supported studies, launch recruitment, and analyze results

Create projects, discussion guides, and reports; update project overviews

PLANS & SECURITY

Free plan

Limited study responses and features

Limited uploads and access to core features

Paid pricing

Custom Enterprise proposals

Starter, Pro, and Enterprise; contact sales

SAML single sign-on

Enterprise

Compliance add-on for Pro; included with Enterprise

Role-based access controls

SOC 2 Type II

How we compared these platforms

This comparison is published by Hubble and draws on public product documentation and Hubble product information reviewed in October 2026. It is not an independent hands-on benchmark. “—” indicates that the native workflow described is not offered; related functionality may be available through imports or external tools. “Not verified” means an equivalent capability was not confirmed in the documentation reviewed. Features, limits, and pricing may vary by plan.

MOVING FROM MARVIN

Start with one study. See where Hubble fits.

Whether you’re moving research workflows to Hubble or adding it alongside Marvin, start with a study that reflects your team’s needs. Evaluate study design, recruitment, and analysis while deciding where your research repository fits.

Map the research you want to run

Identify the surveys, usability tests, and interviews your team needs, along with your participant requirements. Decide which workflows to bring into Hubble and whether to keep Marvin for ongoing analysis and knowledge management.

Prepare your study materials and participants

Gather discussion guides, prototypes, survey questions, and participant lists. Review consent requirements and available exports with our team to confirm what can be imported and what needs to be recreated.

Run a pilot from recruitment to findings

Launch a representative study in Hubble. Review the participant experience, results, and reporting with your team. If you plan to keep Marvin, explore how findings can be transferred and organized before expanding the workflow.

Frequently asked questions

What is the main difference between Hubble and Marvin?

Hubble focuses on running product research from study design and participant recruitment through testing, analysis, and reporting. Marvin focuses on qualitative analysis and organizing customer knowledge in a centralized repository, with tools for live intercepts and interviews. Their capabilities overlap, but they serve different research needs.

How do Hubble and Marvin compare for usability testing and surveys?

Hubble provides native tools for surveys, Figma prototype tests, live website testing, mobile testing, card sorting, tree testing, and timed first-impression tests. Marvin supports prototype and website feedback within AI interviews and can analyze research imported from other tools, but does not offer the same range of dedicated study builders.

Do both platforms offer AI-moderated interviews?

Yes. Both support custom discussion guides, adaptive follow-up questions, and visual stimuli. Hubble lets teams include AI interviews within broader studies containing research tasks and survey questions. Marvin connects AI interview responses to its repository for analysis alongside other customer feedback.

How does participant recruitment differ?

Hubble integrates with User Interviews and Respondent for participant targeting, screening, scheduling, and incentive payouts. You can also invite your own users through Hubble’s participant CRM. Marvin does not provide built-in external recruitment; teams bring their own participants or recruit through external providers and share a study link.

Do Hubble and Marvin both have an MCP integration?

Yes. Hubble’s MCP connection supports creating and publishing supported studies, launching recruitment, and analyzing findings through compatible AI assistants. Marvin’s MCP connection supports searching customer knowledge and creating projects, discussion guides, and reports. Available actions depend on account access and permissions.

How does pricing compare?

Both offer free plans with limits and paid options available through sales. Hubble provides custom Enterprise proposals, while Marvin offers Starter, Pro, and Enterprise plans. Compare quotes based on team access, research volume, AI usage, recruitment fees, incentives, and required security features.

Can we use Hubble alongside Marvin?

Yes, the platforms can serve complementary roles: Hubble for study execution and participant recruitment, and Marvin for broader qualitative analysis and knowledge management. If you plan to move research between them, confirm supported exports, import formats, and any manual steps before establishing your workflow.

Can Hubble help us move from Marvin?

Hubble’s team can help you evaluate which research workflows to bring over and prepare a pilot study. Review participant lists, discussion guides, existing research, and consent requirements to confirm what can transfer and what needs rebuilding. You can also keep your existing repository in Marvin while running new studies in Hubble.

Start with one study. See where Hubble fits.

Map the research you want to run

Prepare your study materials and participants

Run a pilot from recruitment to findings

Frequently asked questions

See how Hubble fits your workflow