✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Jira instances used by large engineering teams accumulate duplicate issues when multiple team members report the same bug independently, when issues are created in both a team board and a shared project, and when migrations from other tools import issues that overlap with manually-created tickets. dataclean.to scans your Jira CSV exports to find duplicate issues across projects, boards, and sprints, giving you a clean picture of your actual backlog.
The Problem
A Jira instance serving a 50-person engineering team might have the same bug reported three times: once by QA, once by a developer who encountered it, and once by a customer-facing support team member who created a ticket from a Zendesk integration. Each duplicate tracks its own status, comments, and sprint assignments independently. Backlog grooming sessions waste time when the same issue appears on multiple boards. Sprint velocity calculations are inflated when duplicate stories are completed separately. Product managers reviewing the backlog see an artificially large list of unique issues, making prioritization harder and capacity planning unreliable. Atlassian Jira issue export documentation
How to Fix It
1
Export issues from Jira
Use Jira's bulk export feature to download issues as CSV. For comprehensive deduplication, export from all projects. Include issue key, summary, description, status, assignee, reporter, sprint, components, and labels.
2
Upload the CSV to dataclean.to
Upload the exported issue data. The tool compares issue summaries and descriptions using semantic similarity, catching duplicate bug reports that use different words to describe the same problem.
3
Review duplicate issue clusters
Examine groups of issues flagged as duplicates. The tool shows project, sprint, status, and assignee for each issue so you can see how the same problem was tracked independently across teams.
4
Create a duplicate resolution plan
For each duplicate cluster, designate one issue as the primary and mark others for linking or closing. The tool generates a list of Jira issue keys to link as duplicates, with the recommended primary issue identified.
5
Export the resolution report
Download the CSV with duplicate pairs and recommended actions. Work through the list in Jira by linking duplicate issues and closing the secondary ones, consolidating comments and attachments on the primary issue.
Frequently Asked Questions
Can the tool find duplicates across Jira projects?
Yes. When you export issues from multiple projects into a single CSV, the tool compares issues across project boundaries. This catches the common pattern where the same bug is reported independently in engineering and QA projects.
How does it handle issues with similar titles but different scope?
The tool compares both summaries and descriptions to determine similarity. Two issues titled 'Fix login page' with descriptions about different login problems are scored as low-confidence matches and presented for manual review.
Does it work with Jira Server and Jira Cloud exports?
Yes. Both Jira Server and Jira Cloud export issues in the same CSV format. The tool processes either version identically, matching issues by summary and description content regardless of the Jira deployment type.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.