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Product Management Root Cause Analysis Question: Investigating decline in Kitopi's catering delivery performance

Why has the on-time delivery rate for Kitopi's catering services decreased from 95% to 85% in the past week?

Data Analysis Problem-Solving Operational Strategy Food Delivery Catering Logistics
Root Cause Analysis Operational Efficiency Delivery Optimization Catering Logistics

Introduction

The recent decline in Kitopi's catering services on-time delivery rate from 95% to 85% over the past week is a critical issue that demands immediate attention. This significant drop in performance could have far-reaching consequences for customer satisfaction, brand reputation, and overall business performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be a recent change. Has there been any significant system update or process change implemented in the past week?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new routing algorithm was implemented. Impact on approach: If confirmed, we'd focus on the new system's performance and potential rollback options.

  • Considering the scale of the drop, I'm wondering about external factors. Have there been any unusual weather conditions or major events in the service areas?

Why it matters: External factors can significantly impact delivery times. Expected answer: No significant external events reported. Impact on approach: If true, we'd shift focus to internal factors and processes.

  • Given the nature of catering services, I'm curious about order volumes. Has there been a sudden increase in order volume or changes in order patterns?

Why it matters: Capacity issues could explain the performance drop. Expected answer: Order volume has increased by 20% due to a marketing campaign. Impact on approach: If confirmed, we'd investigate capacity planning and scalability.

  • Thinking about the delivery process, I'm interested in the driver situation. Have there been any changes in the driver workforce or their scheduling?

Why it matters: Driver availability directly impacts on-time delivery rates. Expected answer: No significant changes in the driver workforce. Impact on approach: If true, we'd look more closely at other operational aspects.

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