The Best Reads on Analytics Dashboard Design
Des Traynor’s Audit of Analytics Dashboards
http://contrast.ie/blog/the-future-of-analytics-products/
Deloitte’s No More Ugly Data White Paper
Provide users with “situational awareness” - full awareness of all events relevant to a given situation, how those events correlate, and an ability to project the effect those events might have on the situation.
http://www.deloitte.com/view/en_US/us/Industries/US-federal-government/federal-focus/analytics/a9d5a5cc0c606310VgnVCM1000001a56f00aRCRD.htm
Juice Analytics Guide to Dashboard Design
Stephen Few, author of Information Dashboard Design, calls structure one of the greatest challenges of dashboard design:
“Dashboard content must be organized in a way that reflects the nature of the information and that supports efficient and meaningful monitoring. Information cannot be placed just anywhere on the dashboard, nor can sections of the display be sized simply to fit the available space. Items that relate to one another should usually be positioned close to one another. Important items should often appear larger, thus more visually prominent, than less important items. Items that ought to be scanned in a particular order ought to be arranged in a manner that supports that sequence of visual attention.” (Pervasive Hurdles to Effective Dashboard Design, Visual Business Intelligence Newsletter, January 2007)
Gradual Reveal
Reveal information as the user expresses interest. In other words, don’t bombard the user with all the information at once. We frequently use levels of increasing detail from (a) key metric to (b) context around the metric to (c) full breakout detail for the metric. Here’s the interface of Datran Media’s Aperture online advertising dashboard that shows this model
http://www.juiceanalytics.com/wp-content/uploads/2010/11/Guide_to_Dashboard_Design.pdf
Fitts Law
Meaningful actions should consume meaningful space
http://sixrevisions.com/usabilityaccessibility/improving-usability-with-fitts-law/