Context:

In many organizations, data and recommendations flow in from multiple accounts, teams, products, and cost centers. This data is often organized using tags in dashboards, which helps categorize and track items based on various parameters. Currently, there is a need for a more efficient way to export recommendations in bulk while retaining the ability to filter by resource tags for further analysis and categorization.

Current Behavior:

Exporting individual recommendations works well and includes resource tags, which can be useful for filtering and analysis.

However, when exporting in bulk (e.g., CSV), the data provides only a high-level view, lacking detailed resource tag information. This limits the ability to filter recommendations based on key parameters like resource cost centers, teams, products, and other tags.

Proposed Enhancement:

Allow for the bulk export of recommendations (both regular and applied) to include resource tags, particularly cost center tags, so that they can be used for filtering and categorizing recommendations after the export.

Benefits:

Enable teams to route items more effectively to the right teams, products, or cost centers.

Improve tracking and management of recommendations based on resource tags, making it easier to monitor progress and accountability.

Enhance the overall workflow and efficiency of recommendation tracking by providing a more detailed and structured export.

This enhancement would provide a more comprehensive way to export, categorize, and track recommendations, improving operational efficiency and alignment with team goals.