Jira to GitScrum Migration | Export Data

Migrate from Jira to GitScrum preserving issues, sprints, epics, and historical data. Small projects migrate in one day, larger in about a week.

5 min read

Moving from Jira to GitScrum doesn't mean losing your project history. GitScrum provides import capabilities and migration strategies that help teams transition smoothly while preserving valuable historical data, sprint information, and team workflows.

Migration Overview

Phase	Activities	Duration
Planning	Audit data, map fields, plan timeline	1-2 days
Export	Extract data from Jira	1 day
Import	Load data into GitScrum	1-2 days
Validation	Verify data integrity	1 day
Transition	Team onboarding, parallel running	1 week

Jira Export Process

EXPORTING FROM JIRA
═══════════════════

STEP 1: AUDIT YOUR DATA
─────────────────────────────────────
Before export, understand what you have:

□ Count of issues by type
  ├── Stories
  ├── Bugs
  ├── Tasks
  ├── Epics
  └── Sub-tasks

□ Custom fields in use
  ├── Required fields
  ├── Optional fields
  └── Calculated fields

□ Workflow states
  ├── Current statuses
  ├── Transitions
  └── Resolutions

□ Historical data needed
  ├── Closed issues
  ├── Sprint history
  └── Time tracking

STEP 2: EXPORT OPTIONS
─────────────────────────────────────
Jira → Export → Choose format:

CSV Export:
├── Simple, works for most cases
├── Export all fields or selected
├── Good for < 10,000 issues
└── Easy to review and clean

JSON/XML Export:
├── More complete data
├── Includes relationships
├── Better for complex projects
└── Requires more processing

Jira API Export:
├── Most complete
├── Includes all history
├── Best for large migrations
└── Requires technical setup

Field Mapping to GitScrum

JIRA TO GITSCRUM MAPPING
════════════════════════

ISSUE TYPES:
─────────────────────────────────────
Jira               →  GitScrum
Story              →  User Story
Bug                →  Bug
Task               →  Task
Epic               →  Epic
Sub-task           →  Subtask

FIELDS:
─────────────────────────────────────
Summary            →  Title
Description        →  Description
Priority           →  Priority
Labels             →  Labels
Assignee           →  Assignee
Reporter           →  Creator
Story Points       →  Effort Points
Sprint             →  Sprint
Epic Link          →  Epic
Components         →  Labels (mapped)
Fix Version        →  Milestone

STATUS MAPPING:
─────────────────────────────────────
To Do              →  To Do
In Progress        →  In Progress
In Review          →  Code Review
Done               →  Done

CUSTOM FIELDS:
─────────────────────────────────────
Document your custom fields:
┌─────────────────────────────────────┐
│ Jira Field       │ GitScrum Field   │
├──────────────────┼──────────────────┤
│ Acceptance Crit. │ Acceptance Crit. │
│ Team             │ Label: team-name │
│ Category         │ Label: category  │
│ Due Date         │ Due Date         │
└──────────────────┴──────────────────┘

Import Into GitScrum

GITSCRUM IMPORT PROCESS
═══════════════════════

STEP 1: PREPARE DATA
─────────────────────────────────────
Clean your export file:
□ Remove duplicate entries
□ Standardize field values
□ Map user accounts
□ Resolve broken links
□ Fix encoding issues

STEP 2: CREATE PROJECT STRUCTURE
─────────────────────────────────────
In GitScrum:
□ Create project(s)
□ Set up labels
□ Create sprints
□ Configure workflows
□ Add team members

STEP 3: IMPORT DATA
─────────────────────────────────────
Import in order:
1. Epics first (parent items)
2. Stories and tasks
3. Subtasks last
4. Comments and attachments
5. Sprint assignments

STEP 4: VALIDATE
─────────────────────────────────────
Verify import:
□ Issue counts match
□ Relationships preserved
□ Attachments accessible
□ Users assigned correctly
□ Sprint data accurate

Migration Strategies

APPROACH OPTIONS
════════════════

FULL MIGRATION:
─────────────────────────────────────
All data, complete history

Best for:
├── Complete platform switch
├── Historical data important
├── Clean break needed
└── Compliance requirements

Timeline: 1-2 weeks

SELECTIVE MIGRATION:
─────────────────────────────────────
Active work only, archive old

Best for:
├── Quick transition
├── Fresh start desired
├── Old data rarely accessed
└── Faster onboarding

Timeline: 2-3 days

PARALLEL RUNNING:
─────────────────────────────────────
Both systems temporarily

Best for:
├── Risk mitigation
├── Gradual transition
├── Team adaptation time
└── Complex workflows

Timeline: 2-4 weeks overlap

RECOMMENDED APPROACH:
─────────────────────────────────────
1. Migrate active work (open issues)
2. Import recent history (90 days)
3. Archive older data in Jira
4. Run parallel for 1-2 weeks
5. Complete cutover

Post-Migration Checklist

AFTER IMPORT
════════════

VERIFY DATA:
─────────────────────────────────────
□ All issues imported
□ Relationships correct
□ Users mapped properly
□ Sprints accurate
□ Labels applied

TEAM ONBOARDING:
─────────────────────────────────────
□ Training sessions scheduled
□ Quick reference guides created
□ Support channels established
□ Power users identified
□ FAQ documented

WORKFLOW SETUP:
─────────────────────────────────────
□ GitScrum boards configured
□ Automations set up
□ Integrations connected
  ├── Git repository
  ├── Slack/Teams
  └── CI/CD
□ Notifications configured

DECOMMISSION JIRA:
─────────────────────────────────────
□ Export final backup
□ Notify stakeholders
□ Update documentation
□ Redirect links
□ Archive access

Best Practices

Plan thoroughly before starting migration

Clean data in source before export

Test import with small dataset first

Map fields before bulk import

Preserve history for compliance

Train team during transition

Run parallel to reduce risk

Document everything for reference

Anti-Patterns

✗ Big bang migration without testing
✗ Ignoring data cleanup
✗ No field mapping planning
✗ Skipping validation step
✗ Immediate Jira shutdown
✗ No team training