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- ❌ You're not a UX Researcher + ⏱️ AI tools to reduce analysis time.
❌ You're not a UX Researcher + ⏱️ AI tools to reduce analysis time.
This week: 3 AI tools to reduce qualitative data analysis time by >50%; You're not a UX Researcher; Prioritizing customer insights across studies. Check out our Research Lunch Club member interview from Google HQ in San Francisco, our podcast pick on Hacking the Human Mind - Book Preview: Dyson, plus the latest job opportunities in research. And finally - join Research Lunch Club, now live in 33+ cities!

🎤 Community Highlights
🚀 Research Lunch Club is matching researchers across 30+ cities worldwide this May - connecting members in trios from fields like AI ethics, cognitive science, ethnography, and UX research. Whether you’re in New York or London or Sydney, there’s a seat at the table.
Start this weekend with lunch with two awesome researchers! - it’s like networking, but tailored, fun and over lunch!

🔬 Research Lunch Club Member Interview
🔬 At Research Lunch Club, we’re passionate about sharing the stories of researchers. Our Meet Our Members series spotlights the journeys and achievements of our research community, fostering connections across disciplines and giving you a view into who you can meet over lunch!
This week, we’re spotlighting Jerome Axle Brown, a Principal UX Researcher at Google, based in #SanFrancisco.
Research Lunch Club x Jerome Axle Brown 🇺🇸
📰 Article Picks
🔗 3 AI tools to reduce qualitative data analysis time by >50%: Sonia Ketkar, the author of the Data Meets Business Substack provides a practical guide for using AI to significantly speed up the analysis of qualitative interview data, breaking the process into three stages and recommending specific tools. The article suggests using ElevenLabs for transcription (saving ~60% of time), Anthropic's Claude for thematic analysis and coding due to its privacy-conscious approach, and Gamma for creating presentations from the findings (saving ~50% of time). It stresses the importance of a "human-in-the-loop" process, where researchers use their domain expertise to guide the AI and validate its outputs to mitigate risks like hallucinations.
🔗 You're not a UX Researcher: Daniel Kyne, in his "Full Stack Researcher" Substack, argues that the role of a UX Researcher has been irreversibly transformed by the combined forces of Product-Led Growth and AI tools like ChatGPT. He uses the metaphor of shifting from a "Black Cab Driver," trusted for their deep expertise to chart a course, to an "Uber Driver," expected to efficiently follow an AI-generated route. This new dynamic means researchers have less control over methodology but are involved in more strategic work (like pricing and growth), a structural shift that requires them to become indispensable "full stack" researchers.
🔗 Prioritizing customer insights across studies: Jake Burghardt from "Integrating Research" argues that as research repositories grow, teams face the new problem of overwhelming decision-makers with too many insights. He advocates for prioritization as a community effort, where researchers develop a shared perspective on what matters most, moving beyond simple frequency metrics to create a more unified and influential voice in product planning. Referencing his book Stop Wasting Research, he suggests framing prioritization not as creating a perfect ranked list, but as using reasonable criteria to sort insights into general tiers, making the process less daunting and more effective.
🎙️ Podcast Pick
💼 Job Picks
Are you a hiring manager looking to share research opportunities with a global network of over 2,000 researchers in more than 60 countries? We'd love to hear from you! Just drop us an email ✉️.
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👋 About us
We’re People of Research & Research Lunch Club - a global hybrid community uniting researchers across the industries, from UX Research to Behavioural Science. We connect, collab and grow. People of Research was created by @faysel.
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