Why does Jira CSV import fail?
Jira CSV import can fail when required fields are missing, values do not match Jira configuration, dates are in an unexpected format, users cannot be resolved, hierarchy references are invalid, or the CSV is parsed differently than expected.
Why are dates not imported correctly into Jira?
Dates may fail when the CSV date values do not match the import format or Jira settings. Avoid ambiguous dates and confirm parsed values in Jira's import preview.
How do I import parent-child relationships into Jira from CSV?
Parent-child imports usually require valid IDs, keys, issue types and parent references. The exact mapping depends on the Jira import experience and project configuration.
Why does Jira say a user was not found?
Jira may not resolve assignees, reporters or user picker values if the CSV uses the wrong identifier, the user lacks project access, or permissions prevent assignment.
Why does Jira reject custom field values?
Custom field values must match the field type, context and available options for the target project and issue type.
Can I update existing Jira issues from CSV?
Some import workflows can update existing issues when issue keys or identifiers are mapped intentionally. Always review the preview because duplicate keys and empty values can be risky.
Is CSV the safest way to bulk update Jira issues?
CSV can work, but it is fragile for bulk updates if fields, empty cells, duplicate keys and mappings are not reviewed carefully before changes are applied.
How can I check my CSV before importing to Jira?
Use the free readiness checker to inspect common spreadsheet risk signals locally in your browser, then review Jira's import preview before confirming the import.