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WEBINAR

Integrating AI into Research: A Practical Guide

A Real-World Look at Making AI Work for Your Research Team

Integrating AI into Research: A Practical Guide

In this practical, no-nonsense session, Betsy from Voxpopme and Shomir from Dexcom share how they’re actually using AI in their day-to-day research—not hypotheticals, but real tools and workflows that make a difference.

They walk through how AI fits into each step of the research process—from writing briefs and designing studies to summarizing interviews, analyzing survey data, and building reports. You’ll hear how they’re saving time, increasing quality, and keeping stakeholders in the loop, all while staying thoughtful about when to trust AI (and when not to).

Whether you’re AI-curious or already experimenting, you’ll walk away with practical ideas you can try right away—no coding required.

What You’ll Learn:

  • How to choose the right AI tools that actually work for your team (and stay compliant).

  • Ways to use AI for writing research proposals, discussion guides, and stakeholder updates.

  • Smart shortcuts for analyzing qual and quant data—without losing the human insight.

  • How to keep your team aligned while fieldwork is happening, thanks to AI-generated summaries.

  • The power of “summary of summaries”—yes, that’s a thing.

  • Real examples of what not to do with AI (because hallucinations are real).

Betsy Shaak

AI’s not here to do your job—it’s here to help you move faster and think deeper. If it gets you 60% of the way there, you can spend your energy where it counts.

Betsy Shaak Head of Product

When it comes to bringing AI into your research workflow, don’t go it alone—make sure to loop in your IT and security teams early to stay compliant and aligned. Use AI to take the hassle out of note-taking by turning stakeholder meetings into ready-to-go research briefs. It can also help you design studies, brainstorm new methods, and even build surveys faster. As your research unfolds, AI makes it easier to keep stakeholders updated with quick summaries, organize and analyze open ends or interview data, and build reports that highlight key insights—complete with clips or reels if needed. Just remember: AI is powerful, but it’s not perfect. Always double-check the outputs to make sure they reflect the real story behind your data.

Ready to see what using AI in research actually looks like?

This is your behind-the-scenes look at how real teams are making it work. Tune in to hear how they’re finding time-saving wins, improving quality, and bringing stakeholders along for the ride—with just the right balance of automation and human smarts.

Watch the replay!