How to validate the data on Hivel?
Last updated
Was this helpful?
Last updated
Was this helpful?
Data validation is essential to ensure the accuracy and reliability of information synchronized between Hivel and your integrated tools. This guide walks you through the validation process for SCMs and Project Management tools.
Log into your Hivel account
Navigate to the Activity screen, where you'll find detailed developer activity breakdowns
Select any commit or PR open bubble in the visualization
Review the filtered list in the right pane showing the specific entry
Click on the entry to access the corresponding item in your SCM
Verify that the activity date in Hivel matches the date recorded in your SCM
Select a time period containing both active and inactive days for a specific developer.
Compare the activity pattern in Hivel with the SCM records
Verify that active and inactive periods align between both systems
Access the Investment screen in Hivel
Select an active board and sprint for validation
Method 1: Individual ticket validation
Locate specific tickets in the sprint details table
Click on the ticket name to open it in your project management tool
Compare the ticket details between both systems
Method 2: Sprint overview validation
Check the total ticket count displayed in the table's right corner
Compare this number with the ticket count in your project management tool by applying the appropriate sprint filter.
Ensure that for completed sprints, you only consider the issues resolved within the sprint. For example, In Jira if the sprint start date is 2nd Dec and end date is 9th Jan, add this to the JQL: resolved >= "2024-12-02" AND resolved <= "2025-01-10"
Why is this necessary? We only count tickets completed within their original sprint to avoid double-counting tickets that spill over into subsequent sprints.
Verify that both systems show the same number of tickets for the sprint
This validation process helps ensure that Hivel accurately reflects your development and project management activities, maintaining data integrity across all integrated tools.