Your Tags Are Lying to You
Most support teams drown in messy, meaningless data. This course shows you how to build a tagging system that tells the truth—so you can lead with clarity, influence decisions, and finally make your insights count.
Every lesson is built to be practical, easy to apply, and focused on helping you build a tagging strategy that works in the real world—no fluff, no filler. We use the LOOP Method, a step-by-step learning model that helps you retain and apply what you learn by guiding you through four key stages: Learn the Concept, Observe It in Action, Own the Practice, and Prove the Impact.
📒 1.1 What Tagging Really Is (And Isn’t)
📒 1.2 Why Tags Matter: From Chaos to Clarity
📒 1.3 Types of Tags and When to Use Them
📒 1.4 Structuring Tags: A Practical Starter Guide
💼 1.5 Zendesk: Building a Scalable Tagging Foundation
🧠 1.6 Tagging Foundations & Strategy
✔️ 1.7 Knowledge Check
📒 2.1 The Anatomy of a Good Tag Structure
📒 2.2 How to Choose What to Track
📒 2.3 Designing Tags for Human Use (Not Just Reports)
📒 2.4 Advanced Tag Architecture: Flat, Prefix, and Nested Models
💼 2.5 SentiSum: Enhancing Support Operations with AI-Driven Tagging
🧠 2.6 Structuring Tags for Clarity, Scalability, and Action
✔️ 2.7 Knowledge Check
📒 3.1 Mapping Tags to Your Workflow
📒 3.2 Training Agents to Tag Accurately
📒 3.3 Agent QA and Feedback Loops for Tag Health
📒 3.4 Tag Governance: When to Revise or Replace Tags
💼 3.5 MeUndies: Building a Tagging Strategy That Powers Data-Driven Support
🧠 3.6 Making Tagging Work in Real Life
✔️ 3.7 Knowledge Check
📒 4.1 From Tags to Insights
📒 4.2 Reporting Without Overwhelm
📒 4.3 Presenting Tag-Driven Insights Internally
💼 4.4 Schuh: Leveraging AI-Driven Tagging for Strategic Insights
🧠 4.5 Turning Tags into Strategic Insight
✔️ 4.6 Knowledge Check
📒Wrap up