Enhancing Lean Change Experiments Using Retrieval-Augmented Generation (RAG) A data-driven analysis of 100 business meetings + a full AI toolkit for home and office Lean Change experiments ✨ Transform How Your Team Learns, Decides, and Adapts This executive-level report and practical toolkit bring cutting-edge AI into your change facilitation process. Through a deep analysis of 100 real business meeting transcripts, this product explores how Retrieval-Augmented Generation (RAG) can supercharge your Lean Change experiments, making your meetings more valuable, inclusive, and actionable. Whether you're an Agile coach, change agent, data-savvy facilitator, or organizational designer, this package equips you to use AI not just to analyze—but to improve—how your organization communicates, reflects, and adapts. 📊 What You'll Get ✅ Comprehensive Report (PDF) – Featuring: Thematic chunking using vector embeddings Sentiment and topic coverage analysis Lean Change hypothesis testing with RAG-based simulations OLS & logistic regression modeling Practical findings + AI integration recommendations ✅ Full Toolkit (Appendices & Files) – Including: Sample R code for analysis and replication AI-powered meeting facilitation checklists The Discretion Engine for AI coaching support Templates for integrating RAG with tools like Notion, Obsidian, Miro, and more 🧠 Who This Is For Agile Coaches & Scrum Masters looking to add intelligence to retros and standups Change Agents & OD Pros driving adaptive feedback loops Facilitators & Team Leads aiming to increase equity and clarity in meetings AI Enthusiasts & Data Scientists applying NLP in real-world org settings 📑 Table of Contents Highlights What is RAG & Why It Matters in Lean Change? Data Pipeline: From Transcript to Insight Modeling Outcomes: Sentiment, Action Recall, Theme Patterns Toolkit: Implement RAG in Your Own Org 🎁