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We need to collect metrics on usage of the dotCMS product and features.
The metrics to be collected will include both utilization metrics (which specific features and sub-features are used, and to what extent), and usage metrics (frequency of use of the system and various features).
This effort will include four stages:
Create a plugin to implement an API which returns metrics.
The first pass of this was already created by @wezellhere.
Implement various metrics, to be returned through the API.
When possible, the code to implement the metrics will be included in the plugin, not the core code.
If it's necessary to modify the core code to implement a metric, a method will be added to the core code that will be called by the plugin.
The specific metrics to be implemented will be specified in separate cards.
Create an automated process to periodically write metrics from the system into the analytics infrastructure.
This process should be implemented the plugin, rather than as a separate application or scheduled job.
Develop reports to pull and analyze the metrics from the analytics infrastructure.
These reports should be implemented separate from the plugin (using an external service or application).
Since stage 1 is already partially complete, stages 2 and 3 can be implemented concurrently. Stage 4 can be implemented after stage 3 is complete.
Potential metrics have been identified and divided into the following categories (in order from highest to lowest priority):
Differentiating Features
Platform-Specific Customization
Sophisticated Content Architecture
Positive User Experience (including content velocity)
Platform-Specific Development
Recent Activity
Extent of Usage
The text was updated successfully, but these errors were encountered:
john-thomas-dotcms
changed the title
Collect Metrics on Product Usage and Feature Adoption
Metrics: Collect Metrics on Product Usage and Feature Adoption
Sep 22, 2023
We need to collect metrics on usage of the dotCMS product and features.
The metrics to be collected will include both utilization metrics (which specific features and sub-features are used, and to what extent), and usage metrics (frequency of use of the system and various features).
This effort will include four stages:
Since stage 1 is already partially complete, stages 2 and 3 can be implemented concurrently. Stage 4 can be implemented after stage 3 is complete.
Potential metrics have been identified and divided into the following categories (in order from highest to lowest priority):
The text was updated successfully, but these errors were encountered: