Reviews
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Reviews combine metrics with written narratives to describe the current state of a team, a tribe, or your entire engineering org.
They help engineering teams operationalize metrics by providing a repeatable Review workflow that guides them through reviewing, interpreting, and identifying actions from metrics.
Sleuth does most of the work of filling out Reviews by collecting data from your integrated tools and summarizing insights with its AI assistant, so users can focus on refining the insights and adding needed narrative.
Table of contents: Provides links and "traffic light" scores for each Section in the Review
Workflow buttons: Advances the Review to its next state in the Review workflow
Date range: Determines the date range for data shown in the Review's Widgets
Widget menu: Menu of additional Widgets that can be added to the Review.
Review summary / Review score: Top-level summary and score for the Review, typically set by the Review owner (either manually or by using Sleuth's AI assistant)
Section owners: User(s) assigned to complete a specific Section in a Review
Section comments: Used by Section owners and Review owners as they complete the Review
Section summary / Section score: Section-level summary and score, typically set by Section owners (either manually or by using Sleuth's AI assistant)
Widgets: Configurable blocks of information (e.g. charts, text, images, etc.), arranged within Sections.
Reviews are organized primarily into Sections and Widgets. A Review can contain any number of Sections, and a Section can contain any number of Widgets.
Sections might also include a Section summary or Section score, both of which summarize the Widgets in the Section. See for more information
