Introduction
The Institute for Health Metrics and Evaluation's COVID-19 projections tool is a critical resource for policymakers navigating the pandemic. Our task is to enhance its user-friendliness, focusing on features that will make it more accessible and actionable for decision-makers. I'll approach this by understanding our users, identifying pain points, and proposing targeted solutions.
Step 1
Clarifying Questions
Why it matters: Determines which features to prioritize for maximum impact Expected answer: Resource allocation, restriction implementation, and reopening timelines Impact on approach: Would focus on features supporting these specific decision types
Why it matters: Influences the depth and complexity of features we might add Expected answer: Mix of both, with a tendency towards quick checks Impact on approach: Would balance between at-a-glance insights and detailed analysis features
Why it matters: Directly informs our prioritization of improvements Expected answer: Difficulty interpreting complex data, need for more localized projections Impact on approach: Would focus on data visualization and granular filtering options
Why it matters: Helps determine if we should prioritize onboarding features or advanced capabilities Expected answer: Mature adoption, focusing on retention and deepening engagement Impact on approach: Would lean towards advanced features and customization options
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