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Most people ask AI to "summarize my survey data" and call it analysis. That's exactly why their insights are shallow, hallucinated, or useless. Here's the expert framework that actually works. In this clip, AI research expert Caitlin Sullivan breaks down the rigorous 4-phase process for analyzing customer surveys and interview transcripts with AI - covering research, deep analysis, verification, and synthesis. She demos the full workflow using Claude's web UI and Claude Code for agentic parallel processing, and explains why the same framework works in ChatGPT, Gemini, or any LLM. Whether you're a product manager, UX researcher, or designer trying to extract real insights from customer feedback, this is the systematic prompting approach that prevents AI hallucinations and produces findings that actually hold up under pressure. You'll learn why structured, sequential prompting beats one-shot synthesis every time, how to stress-test AI findings, and how to automate this workflow with tools like n8n, Zapier, or Make.com. Watch full podcast here: • This AI Expert's Method Will Change How Yo... Subscribe for more AI product management workflows, Claude tutorials, and practical AI analysis techniques that go beyond the basics. #AIUserResearch #SurveyAnalysis #ClaudeAI #ProductManagement #AIWorkflow #UXResearch #AIforPMs