Introduction
The recent 20% increase in average time to first milestone achievement for new Omada Weight participants over the last 60 days is a concerning trend that requires immediate attention. This metric is crucial for user engagement and long-term success of the program. I'll approach this issue systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term 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: Recent changes could directly impact user behavior and milestone achievement. Expected answer: Yes, we updated the onboarding process. Impact on approach: If true, I'd focus on analyzing the new onboarding flow and its effect on user engagement.
Why it matters: Identifying specific affected groups could point to targeted issues. Expected answer: The increase is more pronounced in users over 50. Impact on approach: I'd investigate factors that might disproportionately affect older users.
Why it matters: Changes in user acquisition could lead to a different user base with varying engagement levels. Expected answer: We've increased social media advertising. Impact on approach: I'd analyze the quality and expectations set by recent marketing campaigns.
Why it matters: A change in measurement could explain the perceived increase without actual user behavior change. Expected answer: No changes to milestone definitions. Impact on approach: If unchanged, I'd focus on user behavior and product experience factors.
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