Introduction
The recent 30% drop in new trail reviews on AllTrails over the past month is a significant issue that requires immediate attention. As we analyze this product problem, I'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
My approach will involve clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and proposing 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 factors could explain the decrease and inform our solution approach. Expected answer: There's been unusually wet weather in popular hiking regions. Impact on approach: If confirmed, we'd focus on weather-related user behavior and potential product adaptations.
Why it matters: Understanding which users are most affected helps target our investigation and solutions. Expected answer: The drop is more pronounced among casual users. Impact on approach: We'd investigate factors that might disproportionately impact casual users, such as app complexity or engagement strategies.
Why it matters: Technical changes could inadvertently create barriers to review submission. Expected answer: A minor UI update was rolled out three weeks ago. Impact on approach: We'd scrutinize the UI changes and their potential impact on user behavior.
Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes to the definition or counting method. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
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