Introduction
The increase in average sorting time per package at Delhivery's Bengaluru hub by 5 minutes compared to last quarter is a significant operational challenge that requires immediate attention. This issue could have far-reaching implications on customer satisfaction, operational costs, and overall efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
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 could directly impact sorting times. Expected answer: Information about system upgrades or process modifications. Impact on approach: If changes occurred, we'd focus on those specific areas first.
Why it matters: Higher volume could strain existing resources and systems. Expected answer: Data on package volume trends. Impact on approach: If volume increased significantly, we'd explore capacity and resource allocation issues.
Why it matters: Staff changes or training gaps could affect sorting efficiency. Expected answer: Information on staffing levels, turnover rates, and training initiatives. Impact on approach: If staffing issues are identified, we'd prioritize workforce-related solutions.
Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: Confirmation of consistent measurement methods. Impact on approach: If measurement changes occurred, we'd need to reassess the validity of the comparison.
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