A technical project manager sees Copilot costs rising after enabling agent sessions that read large repositories. Teams report many premium requests but unclear value. Stakeholders ask whether consumption is efficient. Which evaluation best clarifies token usage and premium request consumption?

The correct evaluation is effective because rising costs after enabling agent sessions that read large repositories require visibility into both volume and value, and only combining token consumption for repository reads, premium request counts for billable agent work, and accepted suggestions tied to completed work items connects efficiency to outcomes rather than raw activity. One plausible but incomplete approach evaluates premium volumes and acceptance rates linked to work items, which is standard for delivery value analysis yet fails on cost diagnosis because without token granularity the manager cannot isolate whether large repository reads are driving inefficiency. Another common approach analyzes total tokens and acceptance rates linked to work items, which usefully tracks consumption trends and outcome quality yet fails the stakeholder question because it omits premium request breakout and therefore cannot clarify billable consumption or compare efficiency across teams using agents versus standard completions. A third routine practice monitors tokens, premium counts, and acceptance rates by team, which supports cost trend reporting yet fails on value clarity because it does not tie usage to completed work items and leaves whether consumption produced results unclear. For exam purposes, remember that questions mentioning unclear value alongside token and premium concerns expect both consumption metrics plus outcome linkage, not cost totals alone. As a practical check, pull the Copilot metrics dashboard filtered by repository-heavy agent sessions and join premium and acceptance data to closed issues or pull requests before concluding efficiency.