Overview
Issue tracking is crucial for any engineering team, but managing issues can be a tedious and manual process — especially when you're dealing with a huge volume of data.
What if...you could automate this process and make it more efficient?
That's where creating GitHub issues with data from across your organization comes in. This approach allows you to automatically track issues and collaborate with your team — no matter where they come from — all while saving valuable time and effort.
As an added bonus, you'll experience benefits like:
- Collaborate effectively: With GitHub issues, you can collaborate with your team by assigning issues to specific team members and communicating through comments. This promotes collaboration and ensures that everyone is on the same page.
- Improve prioritization: Using the priority field, you can prioritize issues based on their level of importance. This helps you focus on the most critical issues and ensures that they are addressed promptly.
- Gain insights: By analyzing the data in your data warehouse, you can gain insights into recurring issues and their root causes. This helps you identify areas for improvement and prevent future issues.
The best part is you can implement this solution using Census! Below are the ten customer fields that you need to create issues in GitHub:
| Customer Field Name | Field Description |
|---|---|
| title | A brief summary of the issue |
| description | A detailed description of the issue |
| assignees | The person(s) responsible for the issue |
| labels | Categorize issues with labels |
| milestone | Group related issues together |
| project | The project associated with the issue |
| priority | The level of importance of the issue |
| type | The type of issue (e.g., bug, feature request, etc.) |
| status | The current status of the issue |
| due_date | The due date of the issue |
Use Case
Now that you know the benefits of creating GitHub issues with data from your data warehouse, let's walk through the two, simple steps to set it up.
- Map your data fields: Map your data fields to the customer fields mentioned above to ensure that the data is properly recorded in GitHub.
- Create issues: Use Census to create GitHub issues with data from your data warehouse. You can use models in Census to ensure that only relevant data is sent to GitHub.
What's next?
Now that you've learned how to create GitHub issues with data from your data warehouse, you can use this approach to track customer support tickets, track product feedback, or even monitor your team's progress on specific projects.
Destination Guides
