Priority Score is currently part of a closed beta program, and is only available to select clients. This feature will be released to all clients later in Q3.
The Priority Score is a new manual model that defines attributes that mark an issue as High, Medium, or Low priority. Based on the combination of these attributes, the model assigns the issue an aggregate score out of 100 that indicates the issue’s overall priority.
The model defines priority based on the attributes below. The more high priority features an issue has will drive up its Priority Score. Hover over a priority score to expand a list of attributes.
High Priority Attributes
- The error is first party
- The error occurs at Checkout Only
- The error occurs during the Add to Cart stage
- The error occurs during the Place Order stage
- The error started occurring this week
- The error has high-medium ARL
- The error occurs on only one operating system
- The error occurs on one funnel step only
- The error is associated to a user click
- The error blocks conversion completely
- The error has an unminified Stacktrace
Medium Priority Attributes
- The error has high ARL and is first party, but has a minified JS Stacktrace
- The error has high ARL but affects multiple funnel steps
- The error has high ARL but occurs on multiple browsers and operating systems
Low Priority Attributes
- The error occurs on every funnel step
- The error occurs on all browsers or operating systems
- The error is third-party
- The error is Benign
- The error has low occurrences
- The error has not occurred recently
Priority Score Feedback
By default, the Priority Issues view arranges issues from high to low Priority Score. An issue with a high score should be resolved as soon as possible. However, the Priority Score algorithm will be refined further as more information becomes available, and we need your help to make this metric as viable as possible.
Hovering over a Priority Score pulls up an explanation of the attributes that contribute to the issue's score, as well as a feedback section to indicate whether or not you think the issue is high priority. This simple ranking function will help us identify cases where Noibu falsely assigns a high score to a low priority issue, or vice versa.