User Interviews

There's a gap in every research practice between the big study and the next big study—and most product teams just guess their way through it. In the latest article from The ResearchOps Review, Josh Morales shares how Miro built a continuous discovery program that gives product teams a regular, lightweight way to stay close to users without spinning up a full research project every time. 📌 Full story: https://lnkd.in/e23my8C2

🔎 10 UX Research roles hiring right now: 🇺🇸 UX Researcher - Kalshi 🇨🇦 Principal UX Researcher - Autodesk 🇺🇸 Lead Researcher - Scopely 🇨🇦 Senior UX Researcher - StackAdapt 🇺🇸 Director of Experience Research + Insights - Farmers Insurance 🇬🇧 User Researcher - Financial Times 🇺🇸 Research Operations Lead - Justworks 🇺🇸 Research Lead, New AI Products + Platforms - The New York Times 🇨🇦 Senior Research Operations Program Manager - Okta 🇺🇸 Director of Quantitative UX Research and AI Enablement - Target 💼 Hiring? Add your company in the comments! 👀 Full list of open UX Research roles - https://lnkd.in/eBAjVpT3

The unglamorous part of research is also the part that keeps everything from going sideways. These 5 templates make it all a little easier: 👉 Pre-Research Ethics Checklist 👉 Research Data Consent Form 👉 Participant Recruitment Platform Buyer's Guide 👉 Survey QA Checklist 👉 User Feedback Severity Scale Explore them all - https://lnkd.in/eX95QmRB

When everything is moving faster, trust becomes the work. In this episode of Awkward Silences, Erin May 🎙️ sat down with Jared Forney, Research Ops Principal at Okta, to talk about how ResearchOps can help teams navigate faster research, AI adoption, stakeholder pressure, and the very real need for stronger guardrails. 🎧 Episode out now - https://lnkd.in/e4bcbjrp

So you think you can spot an AI cheater? 🤔 In the latest article from The ResearchOps Review, Emma Spero ran a pilot study on her own team at Red Hat to find out how well researchers actually detect AI-assisted participants...and what to do when intuition isn't enough. 📌 Full story: https://lnkd.in/eVrcQu3b

Participant count is the visible part. But the real story? That's everything underneath: how participants are sourced, matched, verified, balanced, and supported. We're unpacking it all in the 2026 Panel Book, out now - https://lnkd.in/eUVc3RQg

Every year, thousands of research teams sit down to figure out what people actually think, want, and need. The findings shape products, services, healthcare decisions, financial tools, accessibility standards, and a whole lot more. None of it happens without the people willing to show up and tell the truth. 👋 Meet the 7 million - https://lnkd.in/eUVc3RQg

Most people pick a panel the same way they pick a font...a gut feeling, what's familiar, or what a colleague recommended once in 2019. No shame in those, but if you're due for a re-screen, add these to your list.

In this episode of Awkward Silences, we’re throwing it back to a conversation with Jess Holbrook, Head of UX Research at Microsoft AI, on what a decade of researching AI has taught him about UX. From staying grounded in human needs to knowing where automation can quietly undermine the work. A useful lens for anyone trying to make sense of where AI fits in research today. 🎧 https://lnkd.in/e3nvFytS

You're scoping a large panel study when someone says: "Could this be a use case for AI moderation?" ✅ Scale? Handled. ✅ Speed? Handled. ✅ Cost? Handled. But then you think: 🤔 What about that participant who goes off-script? 🤔 Or the awkward silence that's telling? 🤔 Or the follow-up only a human would know to ask? 🤔 Or even the vibe in the room? 😵💫 😵💫 😵💫 The answer as to using (or not using) AI moderation isn't always obvious. So, on June 30 at 1PM ET, we're sitting down with researchers from Heart+Mind Strategies and LaneTerralever, alongside Converge, to talk about AI moderation, why they're still betting on human moderators for large-scale panels. Come find out why: https://lnkd.in/e6QjzGWP