Introduction
Rally Health's digital health coaching program has experienced a significant 30% drop in user engagement over the past month. This alarming decline 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 contribute to this engagement drop.
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 cyclical engagement drops. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on strategies to maintain engagement during known low periods.
Why it matters: Identifying specific affected groups could point to targeted issues. Expected answer: The drop is more pronounced in users aged 30-45. Impact on approach: We'd investigate factors specific to this age group's needs and behaviors.
Why it matters: Recent changes could directly impact user engagement. Expected answer: A new UI was rolled out 6 weeks ago. Impact on approach: We'd focus on usability issues related to the new interface.
Why it matters: External policy changes could indirectly impact engagement. Expected answer: No major policy changes noted. Impact on approach: We'd shift focus to internal factors if external influences are minimal.
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