<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"><channel><title><![CDATA[How to AI UXR]]></title><description><![CDATA[An eight-part podcast series featuring UX research professionals who are using AI to rethink how research is operationalised. Building on the insights shared in the How to AI UXR map, this series offers practical examples you can adopt or adapt for your own AI-augmented workflows.

Brought to you by Strella, a customer research platform that uses AI to run in-depth interviews and generate actionable insights in just a few hours. <br/><br/><a href="https://www.theresearchopsreview.com/s/how-to-ai-uxr?utm_medium=podcast">www.theresearchopsreview.com</a>]]></description><link>https://www.theresearchopsreview.com/s/how-to-ai-uxr</link><generator>Substack</generator><lastBuildDate>Tue, 14 Jul 2026 10:39:02 GMT</lastBuildDate><atom:link href="https://api.substack.com/feed/podcast/3658428/s/390265.rss" rel="self" type="application/rss+xml"/><author><![CDATA[The ResearchOps Review]]></author><copyright><![CDATA[The ResearchOps Review]]></copyright><language><![CDATA[en]]></language><webMaster><![CDATA[theresearchopsreview@substack.com]]></webMaster><itunes:new-feed-url>https://api.substack.com/feed/podcast/3658428/s/390265.rss</itunes:new-feed-url><itunes:author>The ResearchOps Review</itunes:author><itunes:subtitle>A visual map and an eight-part podcast series that charts key trends, helps you pinpoint your AI maturity level, and offers practical, real-world applications you can adapt to your research systems. → Sponsored by Strella, a customer research platform that uses AI to run in-depth interviews and generate actionable insights in just a few hours.</itunes:subtitle><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>The ResearchOps Review</itunes:name><itunes:email>theresearchopsreview@substack.com</itunes:email></itunes:owner><itunes:explicit>No</itunes:explicit><itunes:category text="Technology"/><itunes:category text="Education"><itunes:category text="How To"/></itunes:category><itunes:image href="https://substackcdn.com/feed/podcast/3658428/s/390265/9cdd36ab927033dabcd9c3de43d03f63.jpg"/><item><title><![CDATA[Near-Instant Research Coaching is Now Possible—and It Works]]></title><description><![CDATA[<p><strong>Michelle Bejian Lotia</strong> is a staff experience researcher at <a target="_blank" href="https://ramp.com/">Ramp</a>, where she’s been building AI-powered research tools to manage research intake, orchestration, and coaching. Over more than twenty years, Michelle has built and led research teams at Asana, Zapier, and Trainline, establishing voice-of-customer programmes and insights infrastructure. Throughout her career, she’s been driven by one question: How do you bring customers closer to the people building products—and make it scalable? Michelle holds a master’s degree in information from the University of Michigan.</p><p><em>How to AU UXR</em> is brought to you by <a target="_blank" href="https://www.strella.io/"><strong>Strella</strong></a>, a customer research platform that uses AI to run in-depth interviews and generate actionable insights in just a few hours.</p><p><strong>In This Conversation</strong></p><p>In this conversation, hosted by <a target="_blank" href="https://www.linkedin.com/in/katetowsey/">Kate Towsey</a>, Michelle shares how deadline pressure, combined with the possibilities of AI, led to one of the most compelling examples I’ve seen of AI being used not just to speed up research but also to uplift the craft. Michelle built a transcript-based coaching system that evaluates research calls, provides “tough but fair” feedback, and helps ninety non-researchers improve their craft within minutes of a research session. In this episode, Michelle will walk you through the tool, so make sure to watch closely.</p><p>This series builds on the insights shared in the <a target="_blank" href="https://www.theresearchopsreview.com/p/how-to-ai-uxr-a-map"><em>How to AI UXR</em></a><a target="_blank" href="https://www.theresearchopsreview.com/p/how-to-ai-uxr-a-map"> map</a>, a five-page map that charts key trends, helps you pinpoint your AI maturity level, and offers practical, real-world applications you can adapt to your research systems. → <a target="_blank" href="https://www.theresearchopsreview.com/i/198184716/download-the-map">Download the map</a>. </p><p>In this episode, we cover:</p><p>* How Michelle built the UXR Interview Coach in a matter of hours</p><p>* How the system scores research interviews against a custom-built rubric and delivers private, actionable feedback in Slack</p><p>* Why “tough but fair” feedback lands differently when it is timely, specific, and evidence-based</p><p>* What the team learned by analysing research quality across roles, call types, and quarters</p><p>* How the rubric evolved as the system encountered more nuanced customer conversations</p><p>* Why AI’s real value for research may be in enabling new systems, not simply automating old workflows or augmenting analysis</p><p>* Michelle’s advice for researchers experimenting with AI: start with one painful or underperforming area and make it better one step at a time</p><p>Partway through the episode, <a target="_blank" href="https://www.linkedin.com/in/priya-krishnan-7/">Priya Krishnan</a>, the cofounder and COO of <a target="_blank" href="https://www.strella.io/">Strella</a>, shares her take on the conversation as a leader building one of the tools that these researchers are exploring and using.</p><p><strong>Connect with the Guests</strong></p><p>* <a target="_blank" href="https://www.linkedin.com/in/mblotia/"><strong>Michelle Bejian Lotia</strong></a>, Staff UX Researcher at Ramp</p><p>* <a target="_blank" href="https://www.linkedin.com/in/katetowsey/"><strong>Kate Towsey</strong></a>, founder of <em>The ResearchOps Review</em></p><p>* <a target="_blank" href="https://www.linkedin.com/in/priya-krishnan-7/"><strong>Priya Krishnan</strong></a>, cofounder and COO of Strella</p><p><em>How to AU UXR</em> is supported by <a target="_blank" href="https://www.strella.io/"><strong>Strella</strong></a>, a customer research platform that uses AI to run in-depth interviews and generate actionable insights in just a few hours.</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://www.theresearchopsreview.com?utm_medium=podcast&#38;utm_campaign=CTA_1">www.theresearchopsreview.com</a>]]></description><link>https://www.theresearchopsreview.com/p/near-instant-research-coaching-is-now-possible-with-michelle-bejian-lotia</link><guid isPermaLink="false">substack:post:206243766</guid><dc:creator><![CDATA[Kate Towsey and Michelle Bejian Lotia]]></dc:creator><pubDate>Thu, 09 Jul 2026 19:58:07 GMT</pubDate><enclosure url="https://prfx.byspotify.com/e/api.substack.com/feed/podcast/206243766/b7e010005f81dfe35ad45b6662b80dff.mp3" length="40100812" type="audio/mpeg"/><itunes:author>Kate Towsey and Michelle Bejian Lotia</itunes:author><itunes:explicit>No</itunes:explicit><itunes:duration>2506</itunes:duration><itunes:image href="https://substackcdn.com/feed/podcast/3658428/post/206243766/f99f6c993f1c18d4856acb94184f08d8.jpg"/><itunes:episode>1</itunes:episode><itunes:episodeType>full</itunes:episodeType></item></channel></rss>