Analytics apps don't tell you much about usage behavior. You might be able to see how many users performed an event, or how many times they did it. But none of the analytics packages out there are good at showing you how often people do things. Are they using to-dos once a week? Every day? Only signing into the app once a month but happily paying for years?
Time matters. You can't understand usage without time.
Here I describe an approach for defining new information architectures for large organizational websites managed by many stakeholder groups.
Broadly speaking, there are four general phases to the approach:
Auditing. Begin by immersing yourself in existing content and encourage stakeholders to adopt a critical, audience-minded perspective of their content.
Diagramming. Work with stakeholders to develop new conceptual categories that better serve audiences and organizational direction.
Elaborating. Think through content in detail and test new categories against specific instances and edge cases.
Producing. Prepare content teams for production using a shared database of new sitemap pages and editorial considerations that you’ve developed incrementally.
The central goal of Slow Productivity is to keep an individual worker’s volume at a sustainable level. A natural fear is that by reducing the amount of work each employee tackles at any given time, it might reduce the total amount of work an organization is able to complete, making it less competitive. This fear is unfounded. As argued, when an individual’s work volume increases, so does the accompanying overhead and stress, reducing both the time remaining to actually execute the tasks and the quality of the results. If you instead enable the individual to work more sequentially, focussing on a small number of things at a time, waiting until she is done before bringing on new obligations, the rate at which she completes tasks might actually increase.