Keypup

Dataset: Issues &amp; Pull Requests

Field ID: <code>label_names</code>

Description: The list of labels assigned to the item. Labels are app-specific and case-sensitive.

The <code>Labels</code> field is one of the most powerful for categorizing and analyzing your work. As a list of strings, it allows for flexible filtering, advanced grouping, and detailed metrics that can help you understand the nature of your team's efforts.

Filtering and Scoping: You can create highly specific reports by filtering on the presence, absence, or number of labels.

- Inclusion/Exclusion: Use the contains operator to find all items with a specific label (e.g., <code>Labels contains "bug"</code>), or the does not contain operator to exclude them. You can also filter for items that contain any of or all of a given set of labels.
- Process Compliance: Identify work that is missing categorization by creating a report where the number of labels is zero, using a filter like <code>Labels length = 0</code>.

Reporting on Individual Labels: To accurately count or group by individual labels within the list, you must use the <code>FLATTEN</code> function. This is a key technique for label-based reporting.

- Label Popularity: Create a bar chart showing the most frequently used labels by setting the dimension to the custom formula <code>FLATTEN(label_names)</code> and the metric to <code>COUNT()</code>. This approach un-nests the list and counts each label's occurrence individually.

Custom Formulas for Advanced Categorization: The real power of labels comes from using them in custom formulas to create higher-level groupings that match your business logic.

- Work Type Analysis: You can categorize all your work into broad types like "Bug", "Feature", or "Maintenance" with a dimension formula like <code>IF(CONTAINS(label_names, "bug"), "Bug", CONTAINS(label_names, "feature"), "Feature", "Maintenance")</code>.
- Prioritized Labeling: When items have multiple labels, you can pick the most important one for reporting. The <code>ARRAY_FIND</code> function is perfect for this. A dimension with the formula <code>ARRAY_FIND(label_names, "severity:critical", "severity:high", "bug")</code> will categorize an item by its most critical label.
- Conditional Metrics: You can create KPIs that compare different types of work without filtering the whole widget. For example, in a single report, you could have one metric for <code>COUNT_IF(CONTAINS(label_names, "bug"))</code> and another for <code>COUNT_IF(CONTAINS(label_names, "feature"))</code> to see the ratio of bug fixes to new features.

- Filtering and Scoping: You can create highly specific reports by filtering on the presence, absence, or number of labels.
 - Inclusion/Exclusion: Use the contains operator to find all items with a specific label (e.g., <code>Labels contains "bug"</code>), or the does not contain operator to exclude them. You can also filter for items that contain any of or all of a given set of labels.
 - Process Compliance: Identify work that is missing categorization by creating a report where the number of labels is zero, using a filter like <code>Labels length = 0</code>.
- Reporting on Individual Labels: To accurately count or group by individual labels within the list, you must use the <code>FLATTEN</code> function. This is a key technique for label-based reporting.
 - Label Popularity: Create a bar chart showing the most frequently used labels by setting the dimension to the custom formula <code>FLATTEN(label_names)</code> and the metric to <code>COUNT()</code>. This approach un-nests the list and counts each label's occurrence individually.
- Custom Formulas for Advanced Categorization: The real power of labels comes from using them in custom formulas to create higher-level groupings that match your business logic.
 - Work Type Analysis: You can categorize all your work into broad types like "Bug", "Feature", or "Maintenance" with a dimension formula like <code>IF(CONTAINS(label_names, "bug"), "Bug", CONTAINS(label_names, "feature"), "Feature", "Maintenance")</code>.
 - Prioritized Labeling: When items have multiple labels, you can pick the most important one for reporting. The <code>ARRAY_FIND</code> function is perfect for this. A dimension with the formula <code>ARRAY_FIND(label_names, "severity:critical", "severity:high", "bug")</code> will categorize an item by its most critical label.
 - Conditional Metrics: You can create KPIs that compare different types of work without filtering the whole widget. For example, in a single report, you could have one metric for <code>COUNT_IF(CONTAINS(label_names, "bug"))</code> and another for <code>COUNT_IF(CONTAINS(label_names, "feature"))</code> to see the ratio of bug fixes to new features.

Issues and PRs > Labels

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From:
Github (PRs, Issues)	`labels`
Gitlab (PRs, Issues)	`labels`
Bitbucket (PRs)	N/A
Azure DevOps (PRs, Issues)	`labels` (also named `tags` in the UI)
JIRA (Issues)	`labels + [issue_type]` (same as labels) ⚠️ deprecation: the `issue_type` will be removed from the list of labels. Use metatags instead of labels if you want to keep this behavior.
ClickUp (Issues)	`tags + [priority]`
Trello (Issues)	`labels + [column_name]` ⚠️ deprecation: the `column_name` will be removed from the list of labels. Use workflow_status in combination with labels if you want to keep this behavior.

Issues and PRs > Labels

Reporting Use Cases