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.
Even with all the features and plugins, Canvas presumes certain ways of organizing classes that might not be universal, just typical. And if (like me) you’re an atypical user, you have to choose between constantly fighting with the system or gradually doing more and more things the way Canvas wants you to do them. This, by the way, is why it’s never true to say that technologies are neutral and what matters is how you use them: every technology without exception has affordances, certain actions that it makes easy, and other actions that it makes difficult or impossible. A technology whose affordances run contrary to your convictions can rob you of your independence — and any technology deployed on the scale of Canvas will inevitably do that. It will turn every teacher into an obedient Canvas-user. I don’t want to be an obedient Canvas-user.