Hubble vs dScout: Key Feature Comparison and Pricing

Hubble vs Dscout at a glance

Both platforms combine research methods, recruitment, and AI. Explore how they compare in study design, interview controls, and finding the right participants for your research.

Dimension

Hubble

Dscout

Research emphasis

Product research combining usability testing, AI-moderated interviews, surveys, and participant management.

Diary and longitudinal research, alongside usability testing, interviews, and surveys.

Unmoderated study design

Combine prototype tests, website tasks, card sorting, tree testing, timed first-impression tests, and survey questions.

Build usability tests and media-rich surveys with prototype tasks, card sorting, tree testing, and photo or video responses.

AI interview controls

Write questions and follow-ups, then choose strict guide adherence or deeper AI-generated probing.

Set questions and objectives, with configurable AI probing depth and topics.

Participant recruitment

Recruit through User Interviews and Respondent, or invite your own participants.

Recruit through Dscout’s Scout panel and partner panels, including Respondent, or invite your own participants.

WHY TEAMS CHOOSE HUBBLE

Build research around the questions that matter

Bring study design, participant recruitment, and AI-assisted analysis into one workflow, with control over how you ask questions and collect feedback.

FLEXIBLE STUDY DESIGN

Your research question. Your study flow.

Combine prototype tasks, card sorting, tree testing, timed first-impression tests, and survey questions in one study. Choose the tasks and sequence that help you understand both what users do and why.

In-product survey triggered after an export event

AI INTERVIEW CONTROLS

Set the guide & choose how deep to go.

Write your questions and follow-ups, then choose whether the AI follows your guide strictly or explores answers with its own probes. Keep conversations focused while leaving room for unexpected insights.

Mobile test with screen recording, task prompt and research note

INTEGRATED PARTICIPANT RECRUITMENT

Find your audience. Run your research.

Recruit through User Interviews and Respondent, or invite your own participants. Manage screening, scheduling, and incentive payouts within Hubble to keep recruitment connected to your research.

AI-moderated interview in Spanish with English transcript

“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."

Liz Hurley

Experience Design Manager, Boston Children's Hospital

Current Hubble Customer

G2 index

Hubble

dScout

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 Dscout: Key Features

Compare research methods, study controls, participant workflows, and AI capabilities side by side. Availability may depend on your plan, selected modules, and study type.

Capability

Hubble

Dscout

RESEARCH METHODS & STUDY DESIGN

Moderated interviews and scheduling

Surveys

"Media-rich surveys" available

Figma prototype testing

Heatmaps, advanced analytics, and recordings

Heatmaps and recordings

Live website testing

Mobile testing and screen recording

Card sorting

Tree testing

Timed first-impression testing

Configurable image exposure time

?Equivalent native timed task not verified

Multiple task and question types in one study

Combine research tasks and survey questions

Combine tasks and media-rich questions

Diary study

AI INTERVIEWS

AI-moderated interviews

Custom questions and discussion guides

Write primary questions and follow-ups

Define questions and research objectives

AI follow-up controls

Choose strict guide adherence or deeper AI-generated probing

Configure probing depth and topics

Visual stimuli in AI interviews

Works with image files and while participants interact with live apps

PARTICIPANT RECRUITMENT & MANAGEMENT

Bring your own participants

Participant CRM / private panels

Hubble Participant CRM

Dscout Private Panels

Respondent recruitment integration

User Interviews recruitment integration

?Not verified

Proprietary participant panel

Recruitment through partner panels

Dscout Scout panel

Tremendous payouts for your own participants

Connect your Tremendous account

Through Private Panels

ANALYSIS & AI WORKFLOWS

Recording transcription and AI summaries

AI-assisted themes and analysis

AI-assisted study creation

Through AI Studio

MCP read and write workflows

Create study plans, build surveys and unmoderated studies, launch recruitment, and analyze findings

Build and launch usability studies, recruit participants, and analyze findings; requires AI Studio

PLANS AND SECURITY

Pricing structure

Seat-based or study-based proposals

Custom subscriptions with consumable credits

Single sign-on

Role-based access controls

SOC 2 Type II

How we compared these platforms

This comparison is published by Hubble and draws on publicly available product documentation and Hubble product information, reviewed in October 2026. It is not an independent hands-on benchmark. Features may require specific plans, modules, or configurations. “Not verified” means the capability was not confirmed in the documentation reviewed.

SWITCHING FROM DSCOUT

Start with one study. See how Hubble fits.

Choose a study that reflects your team’s everyday research. Test the workflow from recruitment to reporting, and decide which parts of your research program make sense to move.

Map the research you want to bring over

Review your methods, recruitment needs, and stakeholder expectations. Identify where Hubble fits your usability testing, interviews, and surveys, and whether diary studies need to remain in Dscout.

Prepare your participants and study materials

Review available exports, participant attributes, consent requirements, and discussion guides. Work with our team to confirm what can be imported and what needs to be recreated in Hubble.

Run a pilot from recruitment to insights

Launch a representative study in Hubble. Evaluate the participant experience, AI-assisted analysis, and reporting with your team before expanding to more projects.

Your questions about Hubble vs Dscout, answered

What is the main difference between Hubble and Dscout?

Hubble brings usability testing, AI-moderated interviews, surveys, and participant recruitment into a connected product research workflow. Dscout offers overlapping methods, with particular strengths in diary and longitudinal studies that capture experiences over time. The right choice depends on the studies your team runs and the controls you need.

Does Hubble support diary studies like Dscout?

Hubble does not currently offer a dedicated diary-study workflow. Dscout supports repeated participant entries, multipart activities, and study pacing over time. If diary studies are central to your research program, Dscout is the stronger fit for that method.

How do Hubble and Dscout compare for unmoderated usability testing?

Both support prototype and live website testing, mobile testing, card sorting, and tree testing. Hubble lets you combine research tasks, timed first-impression tests, and survey questions in one study. Dscout also supports varied tasks and media-rich responses. Compare the task types, study logic, and results views your team needs.

Do both platforms offer AI-moderated interviews?

Yes. In Hubble, you can write primary questions and follow-ups, then choose whether the AI follows your guide strictly or probes deeper with its own questions. Dscout lets you define questions and objectives and configure AI probing depth. Both offer controls for shaping the conversation.

Can I recruit participants or bring my own?

Yes. Hubble integrates with User Interviews and Respondent, and its participant CRM lets you manage your own contacts and connect Tremendous for payouts. Dscout offers its Scout panel, partner recruitment including Respondent, and options for bringing your own participants. Dscout also supports Tremendous through Private Panels.

Can I use Hubble or Dscout through an AI assistant?

Yes. Both offer MCP connections with read and write capabilities. Hubble supports workflows such as creating study plans, building and publishing studies, launching recruitment, and analyzing findings. Dscout supports building and launching usability studies, recruiting participants, and analyzing results through MCP, available with AI Studio.

How does pricing compare between Hubble and Dscout?

Hubble offers seat-based or study-based proposals. Dscout offers custom subscriptions with consumable credits. To compare costs, request quotes for the same research volume, methods, recruitment needs, incentives, and team access. Confirm which AI capabilities and security controls are included in each proposal.

How should I approach switching from Dscout to Hubble?

Start with a representative usability study, interview, or survey. Review which participant information and study materials can transfer, and confirm what needs to be recreated. Run the study from recruitment through reporting before moving more projects. If you rely on diary studies, account for that workflow separately.

Start with one study. See how Hubble fits.

Map the research you want to bring over

Prepare your participants and study materials

Run a pilot from recruitment to insights

Your questions about Hubble vs Dscout, answered

See how Hubble fits your workflow