Introduction
Selina's CoLive program has experienced a concerning 15% drop in occupancy rates over the past quarter. This decline in a key performance metric requires a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could be contributing to the occupancy rate decrease.
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 explain the change without indicating a deeper problem. Expected answer: Yes, it's been compared and is still significant. Impact on approach: If seasonal, we'd focus on optimizing for low seasons; if not, we'd look deeper into recent changes.
Why it matters: Identifying specific affected groups could point to targeted issues or changes in market dynamics. Expected answer: The drop is more pronounced among young professionals. Impact on approach: We'd investigate factors specifically affecting this demographic, such as economic changes or competing offerings.
Why it matters: Recent changes could directly impact user behavior and satisfaction. Expected answer: A new pricing structure was implemented 4 months ago. Impact on approach: We'd analyze the pricing change's impact on different user segments and overall value perception.
Why it matters: External market forces could be driving the occupancy decline. Expected answer: A new competitor entered key markets 2 months ago. Impact on approach: We'd assess our competitive positioning and potentially adjust our value proposition.
Practice similar questions
Subscribe to access the full answer