Jira Product Discovery: Import ideas from CSV
Import ideas into Jira Product Discovery through + Create and the import icon beside Configure form, then select a CSV and follow the mapping wizard.
Start with a small representative file and validate the result before bulk import. A spreadsheet row should become a usable idea, not merely a title detached from its source evidence.
Step-by-step guide
Prepare a documented CSV structure
Use an exported Jira CSV as a starting template when appropriate, preserving the headers while replacing rows with the intended data. Clean repeated titles and choose a small trial set. Keep the original file and the mapping decisions for later reconciliation.
Open the discovery import wizard
Go to the intended discovery space, select + Create in the top navigation and choose the import icon next to Configure form. If the control is unavailable, have the space administrator check the account’s import authority rather than switching to a different space accidentally.
Map and import the trial file
Choose the CSV, select Next and complete the wizard. Review each field mapping, especially summary and description. For example, ensure a row titled “Show export failure reason” retains the supporting customer observation in its description rather than placing it in an unrelated field.
Inspect the created ideas before scaling
Open every trial idea and compare its key fields with the CSV. Check its type, description and destination space, then correct the file or mapping before importing the remainder. Do not assume CSV import restores all insight objects or relationships from a different system.
Common mistakes
Importing the entire backlog before validating mappings
One incorrectly mapped column can spread across every idea. A small trial is easier to inspect and correct.
Sources and verification
Based on product documentation checked on 2026-11-04. This is a documentation-based guide, not a hands-on benchmark. Features and availability can change.