Introduction
The recent decline in average length of stay at Selina's digital nomad-focused properties by 2 nights in the last month is a concerning trend that requires immediate attention. This issue directly impacts revenue, customer satisfaction, and potentially the core value proposition of Selina's offering. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 user behavior and stay duration. Expected answer: Yes, we updated our booking interface last month. Impact on approach: If confirmed, I'd focus on user experience and potential friction points in the new system.
Why it matters: Helps distinguish between global trends and localized issues. Expected answer: The decline is more pronounced in urban locations. Impact on approach: I'd investigate urban-specific factors and compare with rural property performance.
Why it matters: Different user segments may have varying length-of-stay preferences. Expected answer: We've seen an increase in short-term digital nomads. Impact on approach: I'd analyze marketing strategies and product offerings for different user segments.
Why it matters: External policy changes could force shorter stays. Expected answer: No major policy changes noted. Impact on approach: If confirmed, I'd focus more on internal factors and user experience issues.
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