


“Hubble enables our team to collect high-quality research insights from the right target participants through a comprehensive set of user research capabilities. By combining participant recruitment, moderated and unmoderated research, and AI-powered synthesis into a single platform, we've been able to streamline our research workflows, increase the speed of insight generation, and deliver rich actionable findings."



Paid plans





Configurable image exposure time
Five-second testing
Combine research tasks and survey questions
Multi-section studies require a paid plan and count toward in-depth study allowances
Paid plans; availability depends on the task and recruitment source

Target by user actions and attributes
Voice and video responses with an AI moderator

Participant profiles, attributes, saved segments, and research history
Connect your Tremendous account
Subject to plan and transcription allowances
Query findings across studies
Query findings across studies; paid plans
Read and write workflows
Recruitment and session-management workflows
Enterprise
Enterprise
Enterprise
Growth and Enterprise

This comparison is published by Hubble and draws on publicly available product, support, and pricing documentation reviewed in October 2026. It is not an independent hands-on benchmark. Features may require specific plans, integrations, or configurations. “Not verified” means an equivalent capability was not confirmed in the documentation reviewed; it does not establish that the capability is unavailable.
Choose a study that reflects your team’s everyday research. Explore Hubble’s workflow from recruitment to reporting, then decide where it fits your broader research program.
Start with a familiar usability test, survey, or interview. Identify what you want to evaluate, such as AI-moderated follow-ups, participant recruitment, or managing your own research panel.
Gather your tasks, prototypes, screeners, and participant criteria. Review available Lyssna exports and work with our team to confirm what can be imported into Hubble and what needs to be recreated.
Launch your study and assess the participant experience, analysis, and reporting with your team. Compare the effort, costs, and usefulness of the findings before moving more of your research to Hubble.
Both platforms support usability testing, surveys, moderated interviews, and participant recruitment. Hubble also offers conversational AI interviews, event-triggered in-product surveys, and a built-in participant CRM. Lyssna combines design and usability testing with self-service plans, integrated panel recruitment, and AI-assisted analysis. The right fit depends on your research methods and participant workflows.
Both support Figma prototype testing, live website testing, card sorting, tree testing, and timed first-impression tests. Both also let you combine research tasks and survey questions. In Lyssna, multi-section studies require a paid plan and count toward its in-depth study allowance. Compare the task types, recordings, study controls, and reporting available with each plan.
Hubble offers conversational AI interviews with voice and video responses, custom discussion guides, and adaptive follow-ups. Lyssna documents AI-generated follow-ups for long-text answers in tests and surveys, with up to two follow-ups per question. An equivalent conversational AI interviewer was not verified in Lyssna’s documentation. Lyssna does support audio recording and human-moderated interviews.
Hubble integrates with User Interviews and Respondent, letting teams recruit through either provider within their research workflow. Lyssna offers its own participant panel and an external partner panel for eligible unmoderated studies. Both let you invite your own participants. Audience availability, targeting options, and supported methods depend on the recruitment source.
Both platforms let you run studies with your own participants. Hubble also provides a participant CRM with profiles, attributes, saved segments, and research history, plus a Tremendous connection for incentive payouts. Lyssna supports recruitment through study links, while your contact database and incentives for self-recruited participants are managed outside the platform.
Both offer MCP connections for querying and analyzing research through compatible AI assistants. Hubble also supports actions such as creating and publishing studies and managing recruitment workflows, subject to permissions. Lyssna’s MCP connection is read-only: it can search and synthesize existing research but cannot create or edit studies.
Hubble offers a Free plan and custom Enterprise proposals. Lyssna offers Free, Growth, and custom Enterprise plans, with panel recruitment charged separately. Compare total costs for your expected seats, studies, responses, recruitment, and incentives. Also confirm which AI features, recording capabilities, and security controls are included.
Start with one representative usability test, survey, or interview. Gather your study materials and review available exports, then confirm with Hubble’s team what can be imported and what needs to be recreated. Run a pilot and compare the participant experience, research effort, costs, and reporting before moving more projects.