Introduction
The recent 25% decline in user engagement with Domino Data Lab's Experiments feature following the latest platform update is a critical issue that demands 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.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the specific changes helps pinpoint potential causes. Expected answer: List of major feature changes or backend modifications. Impact on approach: Directs focus to specific areas of the platform that may have caused issues.
Why it matters: Identifies if the issue is widespread or localized to specific user groups. Expected answer: Breakdown of engagement decline by user segments. Impact on approach: Helps tailor solutions to most affected groups and understand user-specific issues.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement changed, we'd need to reassess the actual impact and adjust our analysis accordingly.
Why it matters: External factors could contribute to or exacerbate internal issues. Expected answer: Overview of relevant market changes or competitor actions. Impact on approach: Helps distinguish between internal issues and external pressures, informing our solution strategy.
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