Awkward Silences

• # 174 - Qualitative Research's Enduring Impact with Nancy Baum of C+R Research LIVE

  The popularity of AI moderation tools, increased attention on "big" data sets (and streams), and the ongoing uncertainty in the research job market have (understandably) led some to wonder about the future of qualitative research. Our guest today, however, is bullish, and explains why.Nancy Baum leads the qualitative research practice at C+R Research. She has nearly 20 years' experience in the field, exposing her to many ebbs and flows. Nancy believes that qualitative practitioners are vital to sifting through the mounds of data, information, and competing interests flooding many companies' attention. Focusing on and uncovering the "Why?" and "How?" still matters today.Listen to learn ways to advocate for qual research, what Nancy thinks of AI-moderation, and how she's developing new researchers.Highlights09:19 How stakeholders misunderstand qualitative research22:46 AI moderation complements quantitative surveys32:32 Customizing deliverables for stakeholder impact41:09 Flexibility navigates unpredictable human conversations47:49 Deep listening trumps active listening50:26 Early stakeholder conversations secure research valueResourcesTry our qualitative sample size calculatorThe best qualitative research tools in 2025Qual vs. quant vs. mixed method approaches

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• Research Ops 2.0, Episode 5: The People of ResearchOps

  In just ten years, ResearchOps has transformed from an obscure Silicon Valley speciality into a vibrant global profession. Despite economic headwinds, ResearchOps roles are emerging across industries far beyond tech, and the field is evolving at breathtaking speed. But where have we come from, and where are we going?In this five-part audio documentary, we’re exploring the past, present, and future of ResearchOps—and it’s exciting, fascinating, and, at times, pretty mindblowing stuff! Each episode features the voices of Cha Cha Club members, senior research leaders, and the smart minds behind User Interviews.In this fifth and final—”awwww”, we hear you say—episode of ResearchOps 2.0, we’re turning the spotlight on the people of ResearchOps: the curious minds, problem-solvers, and system-builders who’ve made this profession what it is today. We’ll explore who they are, where they’ve come from, and what drives them to transform how organisations learn from their users.If you’re a ResearchOps professional, this episode will make you feel seen and heard. If you’re a leader looking to hire a ResearchOps role, this episode will help you think differently about who might hire. And if you’re looking to transition into a ResearchOps career, this episode will give you a great sense of the skills you need and the incredible profession you’ll become a part of.

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• Research Ops 2.0, Episode 4: Building Enduring Systems Amidst Constant Change

  In just ten years, ResearchOps has transformed from an obscure Silicon Valley speciality into a vibrant global profession. Despite economic headwinds, ResearchOps roles are emerging across industries far beyond tech, and the field is evolving at breathtaking speed. But where have we come from, and where are we going?In this five-part audio documentary, we’re exploring the past, present, and future of ResearchOps—and it’s exciting, fascinating, and, at times, pretty mindblowing stuff! Each episode features the voices of Cha Cha Club members, senior research leaders, and the smart minds behind User Interviews.In this fourth and penultimate episode of ResearchOps 2.0, we’re exploring a timely topic: how to build enduring research systems even when change seems to be the order of the day—every day. You’ll hear top tips from experts who’ve managed to ride the winds of change to deliver successful, responsive research operations.

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• Research Ops 2.0, Episode 3: Taking a Platform Approach to ResearchOps

  In just ten years, ResearchOps has transformed from an obscure Silicon Valley speciality into a vibrant global profession. Despite economic headwinds, ResearchOps roles are emerging across industries far beyond tech, and the field is evolving at breathtaking speed. But where have we come from, and where are we going?In this five-part audio documentary, we’re exploring the past, present, and future of ResearchOps—and it’s exciting, fascinating, and, at times, pretty mindblowing stuff! Each episode features the voices of Cha Cha Club members, senior research leaders, and the smart minds behind User Interviews—the only solution you need to recruit high-quality participants for any kind of research.In this third episode, we’re diving deep into what taking a platform approach to ResearchOps means and why research platforms are a pivotal part of the future of ResearchOps.To scale up; tune in.

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• #173 - Prototyping AI in Live Research with Bold Insight & Panasonic Well

  Erin May sits down with Larry Becker and Gavin Lew of Bold Insight to explore how researchers can prototype AI experiences that don't exist yet. They're joined by Katie Johnson, Global Head of Research for Panasonic Well. All share their methods for testing everything from voice interfaces for blind users to family wellness bots using low fidelity simulation techniques.⭐️ Larry, Katie, and Gavin are presenting their work at EPIC 2025 in Helsinki ⭐️The conversation reveals how AI research requires new approaches beyond traditional usability testing. Katie explains her work simulating family interactions with AI assistants, where researchers act as human filters for LLM responses to study relationship building over time. The team demonstrates how even small changes in AI personality can be detected by users, highlighting the sensitivity of human-AI relationships.Gavin emphasizes the critical importance of getting AI right from the first interaction, unlike traditional MVP approaches. When AI fails to understand or respond appropriately, users often abandon it permanently, making prototype research essential for building trust before launch. The discussion provides practical frameworks for researchers working with emerging AI technologies and the evolving methods needed to understand human-AI interactions.Highlights[06:25] Prototyping AI experiences mindset[20:53] Human simulation in AI prototyping[31:15] Human vs bot detection challenges[38:52] Context interaction and trust framework[49:33] Team collaboration in groundbreaking research[51:27] Trust themes in AI developmentResourcesThe State of User Research 2025AI For User Research 101 Course20+ AI Tools for User Researchers

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