Hubble

Overview

Hubble is an enterprise user research platform positioned for AI Business & Management scenarios involving user feedback collection and research analysis. It supports teams in systematically obtaining user experience insights through unmoderated research, prototype testing, AI-assisted interviews, and participant recruitment, helping product, design, and research teams validate hypotheses more efficiently, identify problems, and optimize decision-making.

Compared with a single survey or feedback tool, Hubble places greater emphasis on collecting high-quality, contextual information from real target users, and integrates research execution, data organization, and insight extraction into the same platform, making it suitable for enterprise teams that need to conduct user research continuously.

Key Features

• Unmoderated User Research

  • Supports quickly launching research tasks that do not require real-time researcher participation
  • Can be used to collect user feedback and behavioral data at scale and in a standardized way

• Prototype Testing

  • Validates the usability of product prototypes
  • Helps teams identify interaction and experience issues early in the design stage

• Website and Mobile App Testing

  • Supports experience testing for websites and mobile applications
  • Suitable for evaluating key flows, page structure, and task completion

• Survey Questionnaires and Task Configuration

  • Allows customization of questions and research tasks
  • Makes it easier to flexibly design test flows for different research goals

• AI Moderated Interviews (AI-Assisted Interviews)

  • Used to conduct more in-depth qualitative research
  • Helps teams uncover needs, motivations, and pain points from user expression

• Moderated Interview Research

  • Supports manually moderated interview scenarios
  • Suitable for exploring complex issues, validating concepts, or deeply understanding user behavior

• Information Architecture Research

  • Includes Card Sorting and Tree Testing
  • Can be used to validate navigation structure, classification logic, and information organization methods

• Participant Recruitment

  • Provides recruitment capabilities for consumers and professional users
  • Supports obtaining better-matched research participants through an enterprise-grade participant pool

• Research Organization and Analysis

  • Summarizes, extracts, and analyzes research results
  • Helps teams generate key findings and actionable conclusions to support product strategy development

Pricing

At present, the content captured from the official homepage does not explicitly disclose specific plan pricing.
Users can learn more through the following methods:

• Sign up for a trial (Get started)
• Contact the sales team (Talk to Sales)

If your team has enterprise-level research needs, it is recommended to communicate directly with official sales to confirm the feature scope, recruitment capabilities, and suitable plan.

Frequently Asked Questions

• Which teams is Hubble suitable for?
  It is suitable for product managers, UX researchers, design teams, growth teams, and enterprise organizations that need to systematically conduct user research.

• What scenarios is Hubble mainly used for?
  Common scenarios include prototype validation, website/app usability testing, user interviews, survey collection, information architecture validation, and research result analysis.

• Does Hubble support recruiting research participants?
  Yes. Information on the official website shows that it provides enterprise-grade participant recruitment capabilities, which can be used to obtain consumer or professional respondents.

• Does Hubble include AI features?
  Yes. The official website clearly mentions support for AI-assisted interviews and emphasizes that its platform is designed for user research needs in the AI era.

• Is Hubble just a simple feedback tool?
  Not only that. In addition to collecting feedback, it also covers the full process including research execution, interviews, testing, recruitment, and research analysis.