Introduction
The decline in customer satisfaction for Flixbus's luggage storage service from 4.2 to 3.5 stars in the past quarter is a significant issue that requires immediate attention. This drop in rating could impact customer loyalty, brand reputation, and ultimately, the company's bottom line. To address this problem, I'll employ a systematic approach to identify the root cause, validate our findings, and develop 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: Seasonal patterns could explain temporary fluctuations in service quality. Expected answer: Yes, it coincides with the summer travel peak. Impact on approach: If seasonal, we'd focus on scaling solutions for high-demand periods.
Why it matters: Recent changes could directly impact user experience. Expected answer: A new automated storage system was implemented last month. Impact on approach: We'd investigate the new system's performance and user adoption.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decline is more significant among business travelers. Impact on approach: We'd tailor solutions to address the needs of the most affected segments.
Why it matters: External pressures could be driving customer expectations. Expected answer: A competitor recently launched a premium luggage service. Impact on approach: We'd consider how to differentiate or improve our offering in response.
Why it matters: Ensures the observed decline is real and not a data artifact. Expected answer: No changes in measurement methodology. Impact on approach: Confirms we need to focus on actual service issues rather than data collection problems.
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