In his latest post, James Landay questions whether over-analysis of data gets in the way of designing a product that truly understands the needs of its users. He provides several examples of when the data needs trumped design and user needs, which then results in “Product Failure Due to Over Reliance on Self Data Analysis”.
“The biggest reason I believe these two products [Google PowerMeter and Google Health] have not taken off is their reliance on the belief that simply giving people their data and letting them analyze it is the way to improve behavior (both for health and for the environment). The user interfaces for both products have an analytical take on information design — for instance they focus on showing people graphs of their data [...]
As I spoke with members of the Google team, I was surprised at the lack of knowledge of behavior change theories from psychology as well as much of the user interface design work that had been done by researchers in this space over the past ten years.”
A post worth reading also for those interested in the topic of smart metering and behavioural change.
(via Tricia Wang)