You are optimizing a recurring Claude workflow and must complete the diagnostic steps before changing the workflow. Which two diagnostic steps must…

Before optimizing any recurring AI workflow, practitioners must establish a baseline and diagnose existing bottlenecks. Measuring the current workflow's quality, time, and cost (Option D) provides quantitative baseline metrics necessary for comparison. Subsequently, identifying which specific steps contribute most to inefficiencies, latency, or quality degradation (Option B) pinpoints exactly where prompt engineering or architectural changes are needed. These diagnostic steps ensure that subsequent modifications are data-driven, measurable, and effectively target the root causes of suboptimal performance rather than relying on guesswork.

A. Notifying leadership about projected savings is a stakeholder communication and business management step, not a technical diagnostic step for the workflow itself.

C. Deploying the updated workflow is an implementation and monitoring step that occurs only after the workflow has been diagnosed and changed.

E. Documenting revised steps and updating Standard Operating Procedures is a post-optimization governance step, not a pre-change diagnostic step.

1. Anthropic. "Prompt Engineering Guide," Section: Workflow Optimization and Evaluation Metrics.

2. Axelos. "ITIL 4 Foundation: IT Service Management," Continual Improvement Model (Step 2: "Where are we now?" - Baseline Assessments), pp. 115-118.