Dataset: Issues & Pull Requests
Entity: Pull Requests, Issues
Field ID: title
Type: Text
Description: The name or title of the item.
Source: App
Transformation logic: N/A
From: |
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Github (PRs, Issues) |
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Gitlab (PRs, Issues) |
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Bitbucket (PRs) |
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Azure DevOps (PRs, Issues) | PR: |
Jira (Issues) |
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ClickUp (Issues) |
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Trello (Issues) |
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Reporting Use Cases
The title field is the primary human-readable identifier for an issue or pull request. While not typically used for aggregation, it is an indispensable element for providing context in list-based reports and can be a surprisingly powerful tool for filtering and categorization when your team follows consistent naming conventions.
Context in Reports: Its most fundamental use is as a dimension in any list widget. Including the title in a report of issues or pull requests is essential for users to understand what each item is about at a glance.
Filtering by Keyword: You can create highly specific reports by searching for keywords within the title, which is especially useful for finding related work that may not share the same labels.
Find Related Work: To find all pull requests related to your authentication system, you could use a filter like
Title ~ "auth".Enforce Naming Conventions: You can audit your team's processes by finding pull requests that don't adhere to your standards. For example, a filter like
Title !~ "(WIP|Draft)"on open PRs can help you find work that has not been properly marked as a work-in-progress.
Custom Formulas for Data Extraction: If your titles follow a predictable pattern, you can use custom formulas to extract structured data for better reporting.
Categorize by Prefix: If your team uses prefixes like "[BUG]" or "[FEATURE]", you can create a custom dimension to categorize your work with a formula like
REGEX_EXTRACT(title, "\\[[A-Z]+\\]").Link to External Systems: If titles include references to external tickets (e.g., "Fixes TICKET-123"), you can extract that ID with a formula like
REGEX_EXTRACT(title, "TICKET-\\d+"), allowing you to group all related pull requests.