Introduction
The 25% drop in user engagement with IHME's interactive data visualization tools is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our analysis will follow a structured framework, covering issue identification, hypothesis generation, validation, and solution development. This approach ensures we thoroughly examine all aspects of the problem and develop a comprehensive plan to restore and improve user engagement.
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 distribution of the engagement drop helps focus our investigation. Expected answer: The drop is more pronounced among academic users. Impact on approach: If true, we'd prioritize academic user needs and potential changes in their workflow.
Why it matters: Recent changes could directly impact user experience and engagement. Expected answer: A new interface was rolled out two months ago. Impact on approach: If confirmed, we'd scrutinize the new interface's usability and compare it to the previous version.
Why it matters: External factors could influence the perceived value of our tools. Expected answer: No major global health crises, but a shift in focus towards climate change impacts on health. Impact on approach: We'd explore how well our tools align with evolving global health priorities.
Why it matters: Changes in user demographics could explain engagement shifts. Expected answer: A slight increase in policymaker users, decrease in researchers. Impact on approach: We'd investigate if our tools are meeting the needs of this changing user base.
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