HUBBLE VS GREAT QUESTION

Hubble vs Great Question: Which User Research Platform Is Right for You?

Compare Hubble and Great Question across AI-moderated interviews, usability testing, participant recruitment, in-product feedback, and pricing. Find the right platform for the way your team researches.

Hubble vs Great Question at a glance

Both platforms bring research methods, participant management, and AI into one place. The differences become clearer when you look at specific research workflows.

Dimension

Hubble

Great Question

AI interview languages

Multiple supported languages.

English at launch, according to its published AI moderation FAQ.

In-product feedback

Native web SDK surveys with event and attribute targeting.

Surveys and panel-based distribution; an equivalent native survey SDK was not verified in the documentation reviewed.

Mobile screen recording

Screen recording through Hubble’s mobile testing workflow.

Its documented mobile prototype and website tests capture microphone and camera, but not the screen.

Participant recruitment

Your own users, Respondent, and User Interviews.

Your own users, Respondent, and User Interviews, subject to plan.

MCP / AI Assistant

MCP integration for working with research in AI assistants.

MCP integration covering study creation, recruitment, and analysis.

WHY TEAMS ARE CHOOSING HUBBLE

Why teams choose Hubble over Great Question

Hubble and Great Question are both growing research platforms
for top research teams.

IN-PRODUCT RESEARCH

Feedback in the moment

Trigger surveys right after key product events and target users by behavior, plan or attributes, while the experience is still fresh.

In-product survey triggered after an export event

MOBILE TESTING

Real devices, real sessions

Test native apps and mobile web on participants’ own phones. Watch screen recordings with spoken feedback to see where people hesitate.

Mobile test with screen recording, task prompt and research note

MULTILINGUAL AI INTERVIEWS

AI interviews beyond English

Run AI-moderated interviews in supported languages, with your discussion guide and adaptive follow-ups, so participants can answer in the language they think in.

AI-moderated interview in Spanish with English transcript

Built to turn customer feedback into product decisions

“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

Great Question

Usability

8.9

7.9

Implementation

8.9

7.9

Relationship

9.2

8.3

Results

8.7

7.8

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

FEATURE COMPARISON

Hubble vs Great Question: Key Features

Compare the methods, participant workflows, and AI capabilities your team will actually use. Availability can depend on your plan and selected modules.

Capability

Great Question

RESEARCH METHODS

Moderated interviews and scheduling

All plans

Surveys

All plans

Prototype testing

Figma, with heatmaps and recordings and full support for AI-generated prototypes

Figma, Lovable, v0, Replit and Claude prototypes

Live website testing

All plans

Mobile screen recording

Native apps and mobile web

Mic and camera only in documented workflows

Card sorting and tree testing

Enterprise

Focus groups

Enterprise

Concealed identity studies

All plans

Observer rooms

Unlimited observers on all plans

AI MODERATION

AI-moderated interviews

Enterprise add-on

Multilingual AI interviews

Multiple supported languages

English at launch

Per its published FAQ

IN-PRODUCT FEEDBACK

SDK surveys with event and attribute targeting

Web SDK

Not verified

PARTICIPANTS

Participant CRM

Respondent recruitment

Fully integrated via API

Self-serve

User Interviews recruitment

Segment and filter participants

Automated incentives

Via Tremendous

Candidate eligibility rules

Salesforce CRM sync

Enterprise

ANALYSIS AND AI WORKFLOWS

AI summaries, transcription and thematic analysis

AI Repository module

Centralized research repository

Highlights, AI tagging and video reels

Cross-project synthesis and Ask AI

MCP integration

Enterprise

INTEGRATIONS

Slack and Figma

20+ native integrations

PLANS AND SECURITY

SSO

Enterprise, with SCIM

Encrypted data and GDPR DPA

HIPAA compliance

Enterprise add-on

Dedicated CSM and custom SLAs

Enterprise

Pricing structure

Seat-based or study-based

$129/seat/month self-serve (5 seats max); custom modular Enterprise

Note: Comparative analysis based on publicly available information as of September 2026.

How we compared these platforms

This comparison is published by Hubble and is based on publicly available product, support, and pricing documentation. It is not an independent hands-on benchmark. Features may require specific plans, modules, or add-ons. “Not verified” indicates that we could not confirm a capability in the documentation reviewed, rather than a confirmed absence.

[1] Hubble in-product research, mobile testing, AI-moderated interviews, participant CRM, MCP, pricing

[2] Great Question features

[3] Great Question AI-moderated interviews

[4] Great Question pricing and plan comparison (last updated by Great Question 29 Sep 2026)

SWITCHING FROM GREAT QUESTION

Start with one study. Build your transition around it.

Moving research platforms should start with your team’s workflows, not a promise to migrate everything overnight. Review what can transfer, identify what needs rebuilding, and validate your setup with a first study.

1

Map your research workflow

Walk us through the studies you run, the participants you recruit, and the findings your stakeholders need. We’ll help identify the right Hubble setup.

2

Prepare your participants and templates

Review your available exports, participant attributes, consent requirements, and recurring study templates. Confirm what can be imported and what needs to be recreated.

3

Launch a pilot study in Hubble

Run a representative study in Hubble and review the participant experience, analysis, and sharing workflow before expanding to the rest of your program.

Frequently asked questions

What is the biggest difference between Hubble and Great Question?

Both platforms combine research methods, participant management, and AI capabilities. Hubble is worth evaluating when your program needs contextual in-product surveys, mobile screen recording, and multilingual AI interviews alongside usability testing. Great Question brings together a research CRM, mixed-method studies, and a centralized research repository. The right choice depends on your team’s workflows and requirements.

Does Great Question offer AI-moderated interviews?

Yes. Great Question offers AI-moderated interviews with adaptive follow-up questions and also advertises screen-aware moderation for prototype and website tasks. Its published AI moderation FAQ lists English at launch. When comparing platforms, evaluate supported languages, discussion-guide controls, participant experience, and the specific testing workflows you need—not simply whether AI moderation exists.

Can both platforms recruit my existing customers?

Yes. Hubble and Great Question both support research with your own participants and provide participant-management capabilities. Both also offer access to Respondent and User Interviews for external recruitment, with availability and charges depending on the selected plan and provider.

Do Hubble and Great Question both have an MCP integration?

Yes. Both platforms offer MCP integrations for working with research through compatible AI assistants. Evaluate the specific actions, access controls, and plan requirements your team needs rather than treating MCP availability as a differentiator on its own.

How does pricing compare?

Hubble offers seat-based or study-based proposals. Great Question offers self-serve seat pricing and custom Enterprise pricing. Compare quotes using the same requirements, including research methods, AI moderation, recruitment, incentives, and security controls.

Can Hubble help us move from Great Question?

We can help you assess your current workflow, prepare participant data, and recreate the study templates you need in Hubble. Start with a pilot study and confirm the migration scope before moving your broader research program. Historical recordings, repository content, and participant records should be reviewed individually rather than assumed to transfer automatically.

See how Hubble fits your workflow

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