Jira logoJira Cloud integration

Build live Jira dashboards for sprint, issue, and delivery reporting

Connect Jira Cloud to Chartbrew and turn projects, sprints, boards, issues, JQL, and custom fields into live dashboards your product, engineering, QA, support, and leadership teams can use every day.

Jira Sprint Health

Sprint completion

82%

18% carryover

Story points done

64

78 committed

Open blockers

7

3 critical

Issues created vs resolved

Live

Carryover issues

PROD-1842Blocked
ENG-912In progress
OPS-338In progress
QA-204In progress
Open source
Unlimited connections
AI assistant
Scheduled snapshots
Embeds

What You Can Track

Jira metrics that move beyond status meetings

Create dashboards around sprint health, backlog quality, delivery throughput, and team workload so Jira reporting stays visible between ceremonies.

Sprint progress

Track completion rate, committed work, completed issues, story points, and carryover before sprint review.

Issues created vs resolved

Watch delivery throughput over time and spot projects where new work is outpacing completed work.

Bug backlog

Monitor open bugs by priority, bug trends, and the oldest unresolved bugs across one or more projects.

Workload by assignee

See open work, in-progress work, and story points by assignee so bottlenecks are easier to discuss.

Release progress

Use Jira versions and JQL-backed datasets to report on release scope, completed work, and remaining risk.

Stale issues

List issues that have not moved recently and keep daily standups focused on work that needs attention.

Dashboard Templates

Start with Jira reporting templates

Use Jira templates when you want useful dashboards quickly, then adjust datasets, JQL, chart types, filters, and schedule settings for your team.

Jira Sprint Health

Sprint completion, story points, carryover, workload, and status breakdowns.

Sprint completion
Story points
Carryover issues

Jira Bug Tracking

Open bugs, priority breakdowns, oldest bugs, and created versus resolved bug trends.

Bugs by priority
Bug trend
Oldest bugs

Jira Project Overview

Project-level KPIs, issue trends, status breakdowns, and recent completed work.

Created vs resolved
Issues by status
Completed work

Jira Team Workload

Open work, work in progress, and stale issues grouped by assignee.

Open work
WIP
Stale issues
Chartbrew dashboards that can be used for Jira reporting

How It Works

From Jira Cloud to a live dashboard

The Jira workflow keeps setup direct while still supporting advanced JQL and custom field reporting.

01

Connect Jira Cloud

Add your Jira Cloud site URL, account email, and API token in Chartbrew.

02

Choose a project or sprint

Select projects, boards, sprints, versions, users, statuses, and issue types from Jira.

03

Build datasets

Use visual resources, saved JQL, or templates to turn Jira issues into reusable datasets.

04

Share live reporting

Publish dashboards, embed charts, or send scheduled snapshots to keep everyone aligned.

Why Chartbrew for Jira

Built for Jira dashboards that people actually check

Chartbrew gives Jira data a reusable reporting layer with templates, AI support, scheduled refreshes, sharing, and embeds.

Native Jira resources

Chartbrew understands Jira projects, boards, sprints, versions, users, issue types, statuses, and custom field mappings.

Flexible JQL reporting

Use JQL when your team needs exact reporting logic, then visualize the results without rebuilding reports manually.

Templates for fast starts

Start from sprint health, bug tracking, project overview, and workload templates instead of a blank dashboard.

AI-assisted exploration

Ask Chartbrew AI for Jira datasets and charts when you want a faster way to inspect delivery metrics.

Scheduled reporting

Refresh Jira dashboards and send snapshots on a schedule so status reporting does not become recurring manual work.

Shareable dashboards

Give product, engineering, support, and leadership the same live Jira reporting layer.

Setup Requirements

What you need before connecting Jira

The Jira connector uses Jira Cloud API credentials and can be refined with project, sprint, board, version, user, and field mapping context.

A Jira Cloud site URL, for example https://company.atlassian.net

A Jira account email with access to the projects you want to report on

A Jira API token for that account

Project, board, sprint, version, or JQL context for the dashboard you want to build

Optional story point, severity, or team field mappings for richer agile metrics

Dataset ideaWhat it can power
Sprint summaryCompletion rate, committed issues, completed issues, story points
Issues by statusOpen issues grouped by Jira workflow status or status category
Created vs resolved trendDaily issue creation and resolution volume for delivery throughput
Open bugs by priorityBug backlog split by priority for support and QA reviews
Work in progress by assigneeCurrent in-progress issues grouped by owner
Stale issue tableOpen issues not updated recently, sorted by oldest activity
Recent completed workDone issues over a selected date range for stakeholder updates
Release scopeIssues attached to a Jira version with completion and remaining work

Setup Guide

Follow the step-by-step Jira connection guide

Create a Jira API token, add the Jira Cloud connection in Chartbrew, and start from the sprint health dashboard template.

Read guide

Related Integrations

Connect Jira with the rest of your reporting stack

Blend Jira delivery metrics with product, customer, revenue, and operational data from other Chartbrew sources.

FAQ

Jira integration questions

Practical details about using Jira Cloud data in Chartbrew dashboards.

Build your Jira dashboard

Turn Jira work into live reporting without another spreadsheet loop

Connect Jira Cloud, start from a template, and share sprint, project, bug, and workload dashboards with the teams that need them.

Get started for free