Introduction
Tata CLiQ's same-day delivery service ratings have dropped from 4.5 to 3.8 stars in the last quarter, signaling a significant decline in customer satisfaction. This analysis will systematically identify, validate, and address the root cause of this issue, considering both immediate and long-term implications for the service.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal fluctuations could strain delivery capacity. Expected answer: Order volume increased by 30% due to festival season. Impact on approach: Would focus on scaling delivery capabilities.
Why it matters: Helps identify if the issue affects all customers or a specific segment. Expected answer: Significant increase in 1-2 star ratings, particularly for certain product categories. Impact on approach: Would investigate category-specific delivery challenges.
Why it matters: Changes in customer expectations could lead to dissatisfaction. Expected answer: Delivery promise was reduced from 24 hours to 12 hours for certain pin codes. Impact on approach: Would focus on aligning delivery capabilities with promises.
Why it matters: Ensures the metric decline is genuine and not a data anomaly. Expected answer: No changes to rating system or calculation methods. Impact on approach: Would focus on operational and experiential factors.
Practice similar questions
Subscribe to access the full answer