Hubble
User research tools
Conversational AI survey platforms
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Hubble and its alternatives fit your requirements.
$120 per seat per month
Free Trial unavailable
Free version
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What is Hubble
Hubble is a user research platform used to collect and analyze product feedback through moderated and unmoderated studies, including surveys and interview-style workflows. It supports product, UX, and research teams that need to run recurring research, recruit or manage participants, and synthesize findings for stakeholders. The product emphasizes structured research operations (study management, participant handling, and reporting) alongside AI-assisted question flows for faster feedback collection. It is typically used for concept validation, usability feedback, and ongoing product discovery.
End-to-end study workflow
Hubble supports common research steps from study setup through data collection and reporting in a single workflow. This reduces reliance on separate tools for scheduling, survey distribution, and results sharing. Teams can standardize how studies are run, which helps with repeatability across product areas.
AI-assisted conversational surveys
Hubble includes conversational, adaptive questioning that can follow up based on participant responses. This can increase depth compared with fixed-form surveys when teams need qualitative context quickly. It also helps researchers iterate on question paths without rebuilding entire instruments.
Centralized insights and reporting
Hubble provides a central place to store study outputs and share findings with stakeholders. This supports cross-team visibility and reduces loss of research artifacts across chat, email, and slide decks. It can be useful for maintaining continuity across multiple studies and product cycles.
Vendor details are unclear
Publicly verifiable information about the product’s owning company (legal entity name, headquarters, and founding year) is not consistently available from authoritative sources. This can complicate procurement tasks such as vendor due diligence, security reviews, and contract validation. Buyers may need to confirm corporate details directly with the seller.
AI outputs require validation
Conversational and AI-assisted survey flows can introduce variability in how questions are asked and interpreted. This may affect comparability across respondents and studies if governance is not in place. Teams often need review steps and clear research protocols to ensure methodological consistency.
May not replace specialist tools
Depending on the research program, teams may still need dedicated tools for advanced panel management, large-scale quantitative analysis, or deep qualitative coding. Organizations with mature research operations may find gaps in niche capabilities compared with more specialized platforms. Integration needs (data export, BI, CRM, or product analytics) can also drive additional tooling.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 (per user/month) — No credit card required | Single seat; 10 responses per month; 1 prototype per study; AI Study Generation; AI Rephrasing; Figma integration; Research templates. |
| Pro | $120 per seat/month (billed monthly) | Everything in Free plus: 100 responses per month; Video & audio recording; Custom question bank; 1 AI report per month; Can add up to 3 seats at $120 each; Intended for small teams. |
| Enterprise | Custom pricing (contact sales) | Everything in Pro plus: Custom seats & responses; Moderated studies; Custom templates; Unlimited AI reports; Customized NDA; Study randomization; Access to User Interviews/Respondent/AI Agent participants; SSO (Okta/Microsoft SAML); Role-based access control; Access to SOC2 Type II and other security docs. |
