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Workbench

Treno - Customer Knowledge BaseUser GuideLearn the Basics

Workbench

The Workbench is designed to help users consolidate results, perform analysis, and correlate datasets. It's a powerful tool for scrum masters, engineering leads, and product managers who need to connect and correlate branches, reviews, issues, and tasks.

To analyze software engineering data, you'll need to view and query three types of information: branches and reviews from connected code repositories, and issues pulled from connected project management tools. The workbench comes with predefined filters that can help you find the records or sets of records that you need, whether they were previously developed or are currently in process.

To get started, navigate to the workbench tab. Here, you'll see all of the Issues, Reviews or Transactions that were initiated during the selected time period. You can use the preset filters or create your own filter using the dropdown filters to find the exact records you want.

The workbench is applicable in a variety of use-cases, but primarily for those related to delivery analysis or tracing issues or spotting items that may be blocked or require assistance.

Transactions provides users with access to every metric calculated and housed in the platform.  This can be an extremely valuable for analysis, even though it's not a primary use-case. Accessing these metrics can be particularly useful when needing to dive deeper into the data beyond what is available in Reports. 

To access individual metric data, navigate to Analyze/Transactions. Then, select a time frame and the metric required to be viewed.  The users will be presented with a listing of the issues or branches/reviews that meet your selected filters, and the chosen metric will appear in one of the columns of data returned.

In summary, the Treno workbench section of the engineering analytics platform provides a powerful set of tools to help you optimize your development processes. By using the predefined filters or creating your own, you can easily find the records you need and gain valuable insights into your software engineering data.