SME Coaching#

Dive into the SME Coaching module — the foundation for turning business logic into smarter, guided data experiences. This walkthrough will show you how to structure and customize Athena’s responses by setting up subject areas, drill-down paths, and dataset relationships. You’ll learn how to guide user queries with help questions and align Athena’s behavior with your organization’s data language, making every interaction more relevant, consistent and effective.

Learning Objective

By completing this module, you will learn how to:

  • Create and manage subject areas to structure data contextually

  • Set up drill-down paths for guided data navigation

  • Add help questions to assist users in framing effective queries

  • Define relationships across datasets for enhanced analytical depth

Topics Covered

This learning series includes the following sections:

  • Subject Area

  • Drill Down

  • Help Questions

  • Relationship

Subject Area#

Subject Areas act as focused domains that guide Athena’s interpretation of user queries by grouping relevant metrics, dimensions, and KPIs under a clearly defined context. In this section, you will learn how to set up a subject area by assigning appropriate datasets, choosing visible and searchable fields, and defining user-friendly display names. By narrowing the scope of Athena’s responses, subject areas help reduce ambiguity, improve accuracy, and ensure users receive answers that are aligned with specific business functions.

Drill Down#

Gain a clear understanding of how Drill Down paths in SME Coaching enable structured, step-by-step exploration of data within ConverSight. You’ll learn how to link key metrics to more detailed fields or sub-metrics, allowing Athena to guide users from high-level overviews to granular insights.

Explore this topic in greater depth by referring to our comprehensive Drill Down Study Guide.

Relationship#

You’ll explore how relationships between metrics and dimensions ensure that Athena delivers complete, relevant responses — even when a question spans multiple tables. This section shows how to map fields, assign directionality, and use cross-functional logic to make data exploration seamless and accurate.

For a deeper understanding, please refer to our detailed Relationship Study Guide.