The CFO’s quarterly analysis is focused on comparing:
estimated ROI
actual measured efficiencies
actual adoption
The case study explicitly says the CFO will use the Copilot Studio agent usage estimator. For that kind of analysis, the most relevant design components are the ones that affect how the agent is used operationally and how interactions are processed.
Why C. the average session time per agent is correct:
Average session time is a practical usage and adoption indicator. It helps the CFO understand how much users are engaging with the agent and whether the agent is reducing effort efficiently or creating long, costly interactions.
Why D. the agent orchestration method is correct:
The orchestration method affects how the agent handles requests, invokes tools, uses knowledge sources, and consumes resources. Since this can influence both operational efficiency and cost, it is important for ROI analysis.
Why the other options are not the best fit:
A. the GPT models used for the agentModel choice can matter technically, but the CFO’s quarterly Copilot Studio estimator-based analysis is more centered on usage and orchestration behavior than on model selection details.
B. the average characters in a chat messageThis is too granular and is not a primary business-facing metric for ROI or adoption analysis.
