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Module 10: Metrics as Product APIs Slides

Slide walkthrough for Module 10 of Production Analytics Engineering with dbt: Metrics, Semantic Layers & Lineage: Treat revenue, active users, retention,...

This slide page is the visual review companion for the full course module. Use it to recap the architecture, examples, exercises, production warnings, and takeaways after reading the lesson.

Slide Outline

  1. Metrics as Product APIs - Treat revenue, active users, retention, and conversion as governed interfaces.
  2. Learning Objectives - 3 outcomes for this module
  3. Why This Module Matters - Metrics are product APIs for decision-making. A metric definition should be reusable, owned, documented, tested, and saf
  4. The Mental Model - Lesson section from the full module
  5. Tiny Example - Lesson section from the full module
  6. Interactive Check - Lesson section from the full module
  7. Inline Practice Lab - Lesson section from the full module
  8. Self-Check Quiz - Lesson section from the full module
  9. Real-World Use Cases - Reliable executive dashboards that do not disagree across teams, AI analytics agents that query governed metrics instead of guessing SQL
  10. Common Mistakes to Avoid - 3 mistakes covered
  11. Production Notes - 1 practical notes
  12. Inline Exercises - 1 inline exercise
  13. Key Takeaways - 3 points to remember

Learning Objectives

  • Define a production metric specification
  • Separate measures from metrics
  • Understand why metrics need owners and change policies

Why This Module Matters

Metrics are product APIs for decision-making. A metric definition should be reusable, owned, documented, tested, and safe for many tools to consume.

Production Notes

  • Core business metrics deserve review workflows. Treat metric changes like API changes.

Common Mistakes

  • Letting every team define revenue separately
  • Leaving metric ownership unclear
  • Skipping time grain and timezone decisions

Key Takeaways

  • Metrics need more than names
  • A metric spec reduces repeated interpretation
  • Changing a metric is a product change

Inline Exercises

  1. Write the net_revenue Metric Spec

    Create a beginner-friendly metric card for net revenue.

    30-45 minutes - Beginner to Intermediate

    • Define the metric formula
    • Choose the time grain
    • List allowed dimensions
    • Add owner and freshness expectation
    • List two dashboards or AI tools that consume it

    Inline lab: complete the exercise directly in the course page.

Read the full module | Back to course curriculum