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Self-service management: Bulk data operations

1. Business Objectives and Outcomes

Put Simply
Authorized project users can update many existing Jira work items from a CSV in the selected project, after mapping and validating changes, without an admin ticket.

Problem / Opportunity
Project teams frequently need the same field change across many work items. Doing that one issue at a time, or waiting on an administrator, slows delivery and increases the chance of updates landing in the wrong project or on the wrong items.

Why This Matters
Bulk update is a high-demand self-service utility. A mandatory validate step protects Jira data quality while still removing the admin bottleneck.

Feature Objectives & Measures of Success

  • Users with the approved bulk-update capability can start the flow only after a project is selected.

  • Users can upload a CSV and specify delimiter and date or date-time formats.

  • Users must map a work-item key column and source columns to Jira fields.

  • Users can preview current versus proposed values for the selected project before any update.

  • The portal validates keys, project membership, permissions, field types, dates, and existing dropdown values before updating.

  • Users can resolve blocking errors or, only if Product approves a partial-update policy, knowingly continue for eligible rows.

  • Execution provides progress, safe retry behavior, a downloadable result report, and an audit trail.

  • Ryan Freeman
  • May 28 2025
  • PM Refinement
  • Admin
    April Hewko commented
    21 Sep 17:04

    This is being considered for the next PI through ADO #1678623 — Enable Self-Service Bulk Update of Jira Work Items from CSV (parent epic #1401215 / Aha CONC-E-1378). It is tagged for PI for consideration and is not yet PI committed.

  • Admin
    April Hewko commented
    13 May 15:52

    Bulk data operations is being reviewed as part of https://pwc.aha.io/epics/CONC-E-1378/ Epic 1401215: Jira Cloud Self Service Portal