How might Institute for Health Metrics and Evaluation enhance its data visualization capabilities to make complex health metrics more accessible to the general public?

Introduction

To enhance the Institute for Health Metrics and Evaluation's (IHME) data visualization capabilities and make complex health metrics more accessible to the general public, we need to focus on user-centric design, innovative visualization techniques, and strategic implementation. I'll outline a comprehensive approach to address this challenge, considering user needs, technical feasibility, and potential impact.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking IHME might be facing challenges in bridging the gap between complex health data and public understanding. Could you help me understand who our primary target audience is within the general public, and what are their current usage patterns of IHME's data?

Why it matters: Determines the level of complexity and type of visualizations we should focus on. Expected answer: Primarily educated adults with some interest in health topics, but not necessarily experts. Impact on approach: Would focus on creating intuitive, interactive visualizations with layered complexity.

• Considering the evolving landscape of data visualization, I'm curious about IHME's current technological stack for creating visualizations. Can you share what tools or platforms are currently being used, and if there are any technical limitations we should be aware of?

Why it matters: Helps determine if we need to suggest new tools or work within existing constraints. Expected answer: Currently using a mix of R, Python, and D3.js for visualizations, with some limitations in real-time data processing. Impact on approach: Would explore solutions that leverage existing tools while potentially introducing new technologies for enhanced capabilities.

• Given the importance of accessibility in public health information, I'm wondering about IHME's current approach to making visualizations accessible across different devices and for users with disabilities. Could you provide insights into any existing accessibility initiatives or challenges?

Why it matters: Ensures our solution is inclusive and reaches the widest possible audience. Expected answer: Basic responsive design implemented, but limited features for users with visual or motor impairments. Impact on approach: Would prioritize cross-device compatibility and incorporate accessibility features in proposed solutions.

• Considering IHME's position in the health metrics landscape, I'm interested in understanding how this initiative aligns with broader organizational goals. Can you share any specific objectives or key performance indicators (KPIs) that IHME is aiming to achieve through improved data visualization?

Why it matters: Ensures our solution aligns with and supports IHME's strategic objectives. Expected answer: Aims to increase public engagement with health data, measured by metrics like time spent on visualizations and social media shares. Impact on approach: Would focus on creating engaging, shareable visualizations that encourage deeper exploration of health metrics.