Baytek Sprint Analytics

How Baytek Sprint Analytics works

This page explains how to install, access, configure, and use Baytek Sprint 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

None

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 18 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.

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 18 analytics views organized into five categories by role.

Sprint Health

Scrum Masters & Team Leads

Dashboard

The primary workspace. Shows sprint health KPIs, completion percentage, WIP count, days remaining, an inline Monte Carlo forecast, a velocity mini chart, and a role-based playbook with tailored guidance for Scrum Masters, Engineering Managers, Agile Coaches, and Delivery Leads.

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.

Multi-Team Scope

Cross-team view showing work type breakdown and completion rates grouped by issue type. Useful for Scrum-of-Scrums and program-level visibility.

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.

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.

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, p75, and p85 percentile reference lines. Includes a sortable table for drilling into individual items.

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.

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

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

Multi-Team Aging

Age distribution buckets across teams with per-assignee visibility of the oldest item in each bucket. Helps coaches identify process bottlenecks across multiple teams.

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.

Audit Trail

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

Configuration

Map your project's custom Jira workflow statuses to the standard To Do, In Progress, and Done categories used by all analytics views.

Technical specifications

Platform: Atlassian Forge (Jira Cloud only)
Runtime: Node.js 24 on ARM64
Permissions: Read-only Jira access + app storage
Data storage: Forge Key-Value Store (workflow config & audit trail only)
External network calls: None — no data leaves Atlassian
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?

No. Baytek Sprint Analytics runs entirely on Atlassian Forge infrastructure with read-only Jira access. No data leaves the Atlassian cloud boundary. There are no external servers or third-party data pipelines.

How do I start the free trial?

Install from the Atlassian Marketplace. Jira Cloud apps automatically include a free trial period managed by Atlassian. You will receive a notification from Atlassian when the trial period approaches its end.

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