Introduction
Sword Health's digital physical therapy program has experienced a significant 20% drop in user engagement over the past month. This decline raises concerns about the product's effectiveness and user satisfaction. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
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. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on annual trends; if not, we'd investigate recent changes.
Why it matters: Helps pinpoint if the issue is global or specific to certain demographics. Expected answer: The drop is more pronounced in older users. Impact on approach: We'd focus on understanding the needs and challenges of the most affected group.
Why it matters: Recent changes could directly impact user engagement. Expected answer: A new UI was implemented about 6 weeks ago. Impact on approach: We'd investigate the impact of the UI change on user behavior.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in metric definition or tracking. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can proceed with historical comparisons.
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