Introduction
Hotel Engine's mobile app usage decline of 20% among business travelers in the last 60 days is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and relevant metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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: Seasonal trends could explain the decline and inform our approach to addressing it. Expected answer: The decline doesn't align with any typical seasonal patterns. Impact on approach: If seasonal, we'd focus on strategies to boost engagement during slow periods.
Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes in measurement methods or definitions. Impact on approach: If there were changes, we'd need to recalibrate our analysis based on the new metrics.
Why it matters: Different business types may have different travel patterns and app usage needs. Expected answer: No significant changes in the user base composition. Impact on approach: If there were changes, we'd need to tailor our solution to the needs of the new user segments.
Why it matters: Recent changes could directly impact user behavior and app usage. Expected answer: A minor update was pushed 75 days ago with some UI tweaks. Impact on approach: If significant changes occurred, we'd focus on analyzing their impact and potentially rolling back problematic updates.
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