Hubble Blog | AI for UXR

RESOURCES

Blog

Get research tips, industry trends and practical resources about usability testing, from research methods to design insights.

All

AI for UXR

All

UX Research Foundations

Participant Recruitment

How to Run End-to-End User Research with AI Agents

Agentic user research goes beyond using AI for individual tasks. Learn how AI agents and Hubble’s MCP can connect research planning, study creation, recruitment, moderation, analysis, and insight synthesis.

MCP for UX Research: How to Prompt AI Agents Across the Workflow

The most useful workflows often feel less like issuing a single perfect prompt and more like bouncing ideas back and forth until the study direction or interpretation becomes sharper.

MCP Governance for UX Research: Securing AI Access to Research Data

AI agents can now read your research repository over MCP. Three questions to ask about access control before you connect, and how Hubble answers them.

MCP for UX Research: What It Is and Why It Matters

By giving AI access to approved research systems and specific tools, MCP-enabled AI can take on a more active role to assist your research.

How to Build User Research Plans with Hubble's MCP

Hubble's MCP integration lets AI assistants query your research repository as you plan, so studies get built on prior evidence instead of half-remembered findings.

When to Use AI-Moderated Interviews, and When Not To

This guide covers where the method works, where it falls short, and how to decide between an AI moderator, a human, or both.

15 Best AI Moderated Interview Tools in 2026

Discover the top 15 AI moderated interview tools of 2026, compared on features, pricing, and how well each fits into the research your team already runs.

Leveraging AI Across the UX Research Workflow

This article takes a practical look at how AI can be applied across the UX research process, from planning and study design to facilitation and data analysis.

UX and AI: Understanding the Trade-offs of Leveraging AI

AI enables research to move closer to the pace of product development, allowing researchers to focus on high impact work and iterate research.

How to Write an Effective Discussion Guide for AI-Moderated Research

AI moderation allows researchers to set up an unmoderated study where an AI interviewer facilitates the dialogue, asks natural follow-up questions, and collects rich qualitative insights in minutes.

AI Interviews: How to Customize Probing for Different Research Goals

Learn how to adapt your probing strategies for Exploratory Research, Usability Testing, and Product Feedback — and how AI-moderated interviews can help you do it at scale.

Contextualizing AI Moderators: The Key to Meaningful AI Interviews

In this webinar session, we explore how adding context can transform the way AI moderators conduct interviews.

Designing Smarter AI Interviews: Balancing Structure with Flexibility

Learn how to design AI-moderated interviews that balance structured guidance with flexible, adaptive conversation for insightful research

Probing for AI Interviews: How to Uncover Deeper Insights

In this webinar, we explore how adding context—like background information, study goals, and participant details—can make AI moderators significantly smarter and more human-like.

How to Run End-to-End User Research with AI Agents

Agentic user research goes beyond using AI for individual tasks. Learn how AI agents and Hubble’s MCP can connect research planning, study creation, recruitment, moderation, analysis, and insight synthesis.

MCP for UX Research: How to Prompt AI Agents Across the Workflow

The most useful workflows often feel less like issuing a single perfect prompt and more like bouncing ideas back and forth until the study direction or interpretation becomes sharper.

MCP Governance for UX Research: Securing AI Access to Research Data

AI agents can now read your research repository over MCP. Three questions to ask about access control before you connect, and how Hubble answers them.

MCP for UX Research: What It Is and Why It Matters

By giving AI access to approved research systems and specific tools, MCP-enabled AI can take on a more active role to assist your research.

How to Build User Research Plans with Hubble's MCP

Hubble's MCP integration lets AI assistants query your research repository as you plan, so studies get built on prior evidence instead of half-remembered findings.

When to Use AI-Moderated Interviews, and When Not To

This guide covers where the method works, where it falls short, and how to decide between an AI moderator, a human, or both.

15 Best AI Moderated Interview Tools in 2026

Discover the top 15 AI moderated interview tools of 2026, compared on features, pricing, and how well each fits into the research your team already runs.

Leveraging AI Across the UX Research Workflow

This article takes a practical look at how AI can be applied across the UX research process, from planning and study design to facilitation and data analysis.

UX and AI: Understanding the Trade-offs of Leveraging AI

AI enables research to move closer to the pace of product development, allowing researchers to focus on high impact work and iterate research.

How to Write an Effective Discussion Guide for AI-Moderated Research

AI moderation allows researchers to set up an unmoderated study where an AI interviewer facilitates the dialogue, asks natural follow-up questions, and collects rich qualitative insights in minutes.

AI Interviews: How to Customize Probing for Different Research Goals

Learn how to adapt your probing strategies for Exploratory Research, Usability Testing, and Product Feedback — and how AI-moderated interviews can help you do it at scale.

Contextualizing AI Moderators: The Key to Meaningful AI Interviews

In this webinar session, we explore how adding context can transform the way AI moderators conduct interviews.

Designing Smarter AI Interviews: Balancing Structure with Flexibility

Learn how to design AI-moderated interviews that balance structured guidance with flexible, adaptive conversation for insightful research

Probing for AI Interviews: How to Uncover Deeper Insights

In this webinar, we explore how adding context—like background information, study goals, and participant details—can make AI moderators significantly smarter and more human-like.

AI Interviews Explained: How AI Compares to Moderated & Unmoderated

AI moderation is more scalable than human moderation while remaining more dynamic and conversational than unmoderated testing.

2026 State of User Research in the Age of AI and Agentic Systems

AI agents are ushering in a transformative shift by not only accelerating research, but changing how it is done.

Top 11 AI Tools for User Research (and How To Use Them)

New AI tools for research are available in the market and existing UX research tools, like Hubble, are adding AI capabilities to their platform.