Baytek Agile Analytics

How Baytek Agile Analytics works

This page explains how to install, access, configure, and use Baytek Agile Analytics inside Jira Cloud. It covers every analytics view and answers common setup questions.

Install from Marketplace View product page

Platform

Jira Cloud

Permissions

Read-only

Data egress

Opt-in only

Setup time

Under 2 min

Getting started

Install from the Atlassian Marketplace

Go to the Atlassian Marketplace and search for "Agile Analytics" or click the Install button above. You must be a Jira Cloud administrator to install apps. The installation takes about 30 seconds and requires no webhooks, API keys, or external configuration.

Open the app inside Jira

After installation, navigate to any Jira Cloud project. In the top navigation bar, click "Apps" and select "Agile Analytics" from the dropdown. The app opens as a full-page global view inside Jira Cloud.

Select your project and sprint

Use the project picker at the top of the screen to select any Scrum or Kanban project. Sprint data loads automatically. For Scrum boards, choose the active sprint or any completed sprint from the sprint dropdown.

Configure your workflow (optional)

If your Jira project uses custom workflow statuses, go to the Configuration view (under Tools in the left sidebar). Map each custom status to one of the three standard categories: To Do, In Progress, or Done. This improves cycle time and flow calculations. The default mapping works for most standard Jira workflows without any changes.

Explore your analytics

Use the left sidebar to navigate between the 30+ analytics views. Each view is organized by persona — Sprint Health for Scrum Masters, Flow Analytics for Engineering Managers, Portfolio for Delivery Leads, Agile Coach for coaches and consultants, and Tools for configuration and retrospectives. Pro tier features (dashboard widgets and Sprint Alerts) are surfaced separately and unlock with a 30-day Atlassian Marketplace evaluation on install.

Accessing the app

Agile Analytics is a Jira Global Page — it opens as a full-screen view inside Jira Cloud, not a pop-up or panel.

In your Jira Cloud instance, click Apps in the top navigation bar.
Select Agile Analytics from the dropdown list of installed apps.
The app loads in a full-page view. Use the project picker and sprint dropdown at the top to select your team's board.
Navigate between analytics views using the left sidebar menu.

Analytics views

The app includes 30+ analytics views organized into six categories by role. The free tier covers every analytics view in the project workspace; the Pro tier adds three Jira dashboard widgets and Sprint Alerts notifications.

Sprint Health

Scrum Masters & Team Leads

Dashboard

The primary workspace. Shows a 0-100 Team Health composite score across completion, pace, quality, freshness, and WIP, plus completion percentage, WIP count, days remaining, an inline Monte Carlo forecast, and a role-based playbook with tailored guidance for Scrum Masters, Engineering Managers, Agile Coaches, and Delivery Leads.

Burndown Chart

Remaining-work line tracked against an ideal pace reference. Shows trend direction and surfaces sprints that are ahead, on-pace, or behind early enough to act.

Live Stats

Real-time counts of done, in-progress, and to-do items broken down by story points and issue type. Includes a team matrix and flagged item alerts for blocked or unassigned work. Optional per-team label scoping restricts the view to specific groups.

Delivery Signals

Key delivery health indicators including throughput, sprint reliability, carryover risk, average cycle time, flow efficiency, blocked items, and unassigned work.

Sprint Summary

A clean summary of the sprint goal, start and end dates, item counts, story points, priority mix, and issue type breakdowns. Useful for stakeholder reporting.

Sprint Capacity

Committed story points versus per-assignee capacity, with a bar visualization that highlights overcommitment and uneven workload distribution.

Scope Completion

Tracks committed scope versus added scope versus completed scope per sprint. Useful for retro discussions about mid-sprint additions and scope discipline.

Sprint Planning

A planning workspace that pulls Monte Carlo forecast, capacity slider (60% / 78% / 90% / 100% / 120% presets), and cycle-time signals into one place. P15 / P50 / P85 confidence intervals per category (planned / bugs / exploration).

Flow Analytics

Engineering Managers

WIP Monitor

Lane-by-lane utilization cards showing current work-in-progress against configurable limits. Each lane shows a health badge: healthy, near limit, or over limit.

Flow Metrics

Daily throughput sparkline, rolling average, status distribution donut chart, and flow efficiency ratio. Tracks the system's output and waste over time.

Flow Efficiency

Active time versus wait time breakdown per sprint. Surfaces queue-driven delays that velocity numbers alone hide.

Cumulative Flow Diagram

Stacked-area chart showing items in each workflow stage over time. Includes a snapshot data table for historical comparison.

Aging & Blocked

Lane-by-lane grid showing how many days each item has spent in its current status, stage history chips, and age bucket groupings. Identifies stalled and potentially blocked work at a glance.

Cycle Time

Log-scale scatter plot showing cycle time for completed items with p50 and p85 percentile reference lines. Includes a sortable table for drilling into individual items, plus inline SLE breach indicators when targets are configured.

Cycle Scatter

Per-item cycle time scatter plot with sortable drill-down. Surfaces outliers and trend changes across recent sprints at item granularity.

Cycle Density (Heat Map)

Cycle-time distribution rendered as a heat map: rows are sprints, columns are cycle-time buckets, intensity shows item density. Reveals distribution drift over time.

SLE Status

Per-category cycle-time breach roll-up for the active sprint. Pairs with the per-item indicators in the Cycle Time view.

Monte Carlo Forecasting

Probabilistic delivery forecasting using 10,000 simulation runs based on your team's throughput history. Shows p50 to p85 confidence ranges and a velocity history table for calibration.

Process Behavior (Wheeler XmR / SPC)

Wheeler XmR / Statistical Process Control analysis applied to sprint throughput and story-point series. Separates routine variation from genuine process signals via the three most-cited Wheeler rules — distinguishes a bad sprint from a system change.

Portfolio

Delivery Leads

Team Leaderboard

Medal cards and a ranked table comparing teams by throughput, active work count, story points, and completion rate. Useful for cross-team performance reviews.

Feature Analytics

Epic-level sprint tracking with progress bars, current status, completion rate, and unepiced item visibility. Tracks business feature delivery across sprints.

Agile Coach

Coaches & Consultants

Agile Report

Rule-based coaching signals that surface health flags, WIP issues, stalled work, and velocity trends. Produces a readable narrative suitable for coaching conversations.

User Metrics

Per-contributor done, active, and to-do counts with story point totals, issue mix, and flagged work. Supports fair workload distribution conversations.

Tools

Operations & Retrospectives

Retro Snapshot

A pre-built retrospective summary generated from sprint data. Shows what went well, what could improve, and produces copy-ready text for retrospective meetings.

Reporting

Exportable CSV reports for sprint health, cycle time, and flow metrics. Useful when leadership wants the numbers in their own spreadsheet.

Org Hygiene

Items needing attention: missing story points, no assignee, stale work. A backlog-quality lens designed to be reviewed once per sprint.

Audit Trail

A chronological log of all configuration changes with the action taken, detail, user, and timestamp. Useful for governance and troubleshooting.

Configuration

Workflow mapping (auto-discovered on first visit), custom field IDs, item-type categories, WIP rules, SLEs, Sprint Alerts rules, notification webhooks, feature filters, and access control. Map custom Jira statuses to the seven-stage flow classification used by every analytics view.

Pro tier

Org-wide visibility and proactive alerts

Team Health (Baytek) widget

Composite sprint-health score card you can pin to any Jira dashboard. Read-only consumption of the same metric the in-app Dashboard view shows — useful for leadership dashboards.

Cycle Time (Baytek) widget

P50 and P85 cycle time over the last six sprints, rendered as a compact dashboard card.

Throughput (Baytek) widget

Items completed per sprint over the last six sprints, rendered as a compact dashboard card.

Sprint Alerts

Hourly background trigger that fires Slack and Microsoft Teams notifications when items stall in progress, sprints near completion, items are freshly flagged, or SLE breaches are detected. Configured per project via Configuration → Sprint Alerts.

Technical specifications

Platform: Atlassian Forge (Jira Cloud only)
Runtime: Node.js 22 on Forge
Permissions: Read-only Jira access + app storage
Data storage: Forge Key-Value Store (workflow config & audit trail only)
External network calls: None by default; opt-in Slack/Teams webhook POSTs only
Frontend: React 18 Custom UI with inline SVG charts
Board support: Scrum and Kanban
Theme: Light and dark mode

Common questions

Do I need to be a Jira admin to install?

Yes, installing Forge apps on Jira Cloud requires Jira administrator permissions. Once installed, any Jira user with project access can use the app.

Does the app work with Kanban boards?

Yes. The app supports both Scrum and Kanban boards. Flow Analytics views (WIP Monitor, Aging & Blocked, Cycle Time, Cumulative Flow) are especially useful for Kanban teams.

Does the app send any data outside of Atlassian?

Only if an admin opts in to Slack or Microsoft Teams sprint alerts. In that case the backend POSTs alert messages to the webhook URL you configure. Otherwise the app makes no outbound calls — it runs entirely on Atlassian Forge with read-only Jira access, and there are no third-party analytics backends or our own servers in the loop.

What is included in the free tier vs the Pro tier?

The free tier includes every analytics view inside the project workspace — Dashboard, Burndown, Cycle Time, Flow Metrics, Monte Carlo, Sprint Planning, Process Behavior, and the full Configuration suite. The Pro tier adds three Jira dashboard widgets (Team Health, Cycle Time, Throughput) you can pin to any Jira dashboard, and Sprint Alerts notifications to Slack or Microsoft Teams.

How does the 30-day Pro trial work?

Every new Jira Cloud install of Baytek Agile Analytics receives a 30-day Pro evaluation automatically through Atlassian Marketplace. During the evaluation the Pro features are unlocked. At the end of 30 days you can subscribe to keep them or continue using the free tier. Billing is handled through your Atlassian Marketplace invoice — no separate vendor signup and no card-on-file with us.

What permissions does the app request?

The app requests read-only access to Jira work items and user data, board and sprint data, and project information. It also uses Forge app storage for saving your workflow configuration and audit trail. No write permissions are requested.

What if my custom workflow statuses are not classified correctly?

Go to the Configuration view under Tools in the left sidebar. Map each custom status to To Do, In Progress, or Done. The mapping is saved per project and persists across sessions.

I need help. How do I contact support?

Email support@baytekdev.com. Support is available Monday to Friday, 9 AM to 5 PM Pacific Time.

Need help?

Our support team is available Monday through Friday, 9 AM to 5 PM Pacific Time.

Submit a support request support@baytekdev.com