Introduction
The CleverCAD dispatch system by Clever Devices has experienced a 15% decrease in on-time performance over the past month. This significant drop in a critical metric requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could be impacting the system's performance.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess the actual performance impact.
Why it matters: Operational changes can significantly impact performance metrics. Expected answer: Some increase in fleet size or route complexity. Impact on approach: If yes, we'd need to assess if the system is scaling appropriately.
Why it matters: External factors can heavily influence dispatch performance. Expected answer: No major external disruptions. Impact on approach: If yes, we'd need to factor these into our analysis and solutions.
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