A dashboard can accumulate charts because each number is available. The result may require the reader to invent the connection between the displays and the work they are meant to support.
Name the questions the page should help answer. Group related measures and give each chart a clear definition. Include the last update time and any meaningful gaps so the reader understands the information’s current limits.
Try using the dashboard for one ordinary decision. Remove a chart that adds no context, or add an explanation where a number repeatedly causes confusion. The useful design is the one that helps a reader interpret and act with an appropriate level of confidence.
Picture this situation.
Consider a dashboard crowded with counts but no stated purpose. Naming the decision each section supports can reveal which figures are unnecessary.
A second way to look.
A column name can hide an assumption. Check units, missing values, and the counting rule before combining observations that only appear to be alike.
- Name the questions the dashboard supports.
- Keep definitions and update context visible.
- Review it through one ordinary decision.
Follow a related question
Treat the first output as inspectable material.
Use a draft to find the next questionGive the note a descriptive title.
Notes you can find againKeep learning
Related background to continue exploring this subject.
NIST: statistical engineering W3C: accessibility, usability, and inclusion
