Jira (Atlassian)
DataFlow-Xpert pulls sprint velocity, issue throughput, SLA breach risk, and cycle-time metrics from Jira Cloud or Jira Data Center via the Atlassian REST API v3. Bridge engineering delivery data with revenue and operational outcomes — no more spreadsheet exports from Jira.
Synced Resources & Fields
DataFlow-Xpert pulls every Jira object type including custom fields, custom issue types, and SLA definitions.
Issues
- Summary
- Status
- Priority
- IssueType
- Assignee
- Reporter
- StoryPoints
- Sprint
- Epic
- Labels
- Custom fields
Sprints
- SprintName
- State
- StartDate
- EndDate
- VelocityActual
- VelocityCapacity
- CompletionRate
- CarryOver
Epics
- EpicName
- Status
- StartDate
- DueDate
- Progress
- LinkedIssues
- BusinessValue
Projects
- ProjectKey
- ProjectName
- ProjectType
- Lead
- Category
- Components
- Versions
Worklogs
- Author
- TimeSpent
- Started
- IssueId
- Comment
SLA Metrics
- SLAName
- BreachStatus
- TimeToFirstResponse
- ResolutionTime
- BreachCount
- OngoingCycles
How It Works
Sprint velocity tracking
Visualise story-point velocity, completion rate, and carry-over trends across every sprint. Compare against team capacity benchmarks automatically.
Cycle time & lead time
Measure end-to-end delivery time from issue creation to Done — broken down by issue type, team, epic, and component.
SLA breach alerts
Get proactive Slack or email alerts when issues are on track to breach SLA thresholds before it happens — not after.
Cross-platform correlation
Join Jira delivery metrics with Salesforce pipeline data. See how engineering output directly correlates with win rates, deal cycles, and churn risk.
Custom field support
All Jira custom fields — including number, dropdown, multi-select, and date fields — are automatically discovered and mappable to DataFlow-Xpert KPI definitions.
Jira Cloud & Server
DataFlow-Xpert supports both Jira Cloud (via Atlassian OAuth 2.0) and Jira Data Center/Server (via API token). No difference in features.
Connect in 3 Steps
Typical setup time: under 5 minutes for Jira Cloud.
Authorise via Atlassian OAuth
Click "Connect Jira" in DataFlow-Xpert. For Jira Cloud, you'll be redirected to Atlassian's OAuth 2.0 consent screen. For Jira Data Center, paste your API token instead.
💡 DataFlow-Xpert requests read-only scopes: read:jira-work and read:jira-user.
Choose projects & boards
Browse your Jira instance and select which projects to sync. DataFlow-Xpert imports all issue types, epics, sprints, worklogs, and custom fields automatically.
💡 You can add or remove projects at any time from the connector settings.
Map fields to DataFlow-Xpert KPIs
Use the no-code field mapper to connect Jira custom fields to your DataFlow-Xpert KPI definitions. Pre-built velocity, cycle time, and SLA dashboards appear immediately.
💡 Pre-built dashboards work out of the box with zero mapping required for standard Jira fields.
What Teams Build With This Integration
Engineering Leadership
- Sprint velocity & capacity dashboards
- Cycle time trend analysis
- Blocked issue escalation alerts
- Team workload heatmaps
Product Management
- Epic progress & roadmap tracking
- Feature delivery forecasts
- Scope creep detection
- Release readiness scorecards
Customer Success
- SLA compliance dashboards
- Time-to-resolution tracking
- Bug backlog aging reports
- Customer-linked issue status
Frequently Asked Questions
Does DataFlow-Xpert support Jira Server / Data Center as well as Jira Cloud?
Yes. Jira Cloud uses Atlassian OAuth 2.0. Jira Server and Data Center use API tokens. The feature set is identical for both deployment types.
Are Jira custom issue types and custom fields supported?
Fully. DataFlow-Xpert discovers all custom issue types, custom fields, and custom statuses in your instance at connect time. You can map any of them to DataFlow-Xpert dimensions using the no-code field mapper.
Does DataFlow-Xpert support Jira Service Management (JSM)?
Yes. JSM-specific objects — including request types, SLA definitions, and queue configurations — are surfaced alongside standard Jira objects.
How often does DataFlow-Xpert refresh Jira data?
By default, DataFlow-Xpert polls the Jira REST API every 15 minutes. You can adjust this to 5 minutes (Growth plan) or near-real-time webhook mode (Enterprise plan).
Can I join Jira data with Salesforce data in a single dashboard?
Yes — this is one of the most popular DataFlow-Xpert use cases. Join Jira issues with Salesforce opportunities to build "engineering effort vs. deal outcome" dashboards that show how delivery speed affects revenue.
Ready to connect Jira?
Bridge engineering delivery metrics with business outcomes — today.