How should environmental data be translated into everyday decisions?

Many tools today surface environmental information (air quality, weather alerts, heat, UV levels) through dashboards, indices, and numeric scores. While this data is accurate, people often struggle to translate it into concrete decisions in daily life (when to go outside, whether to exercise, what precautions to take).

As we prepare to launch AskIndra, we’re thinking deeply about this translation layer between data and action.

From your experience building or using products that deal with environmental, health, or real-world data:

• What makes guidance feel genuinely helpful rather than overwhelming?

• Where have you seen environmental data communicated well—and where does it break down?

• Do you prefer clear recommendations, contextual explanations, or the ability to explore the data yourself?

We’re especially interested in real examples - tools that got this right, or patterns that consistently confuse users.