Umaku Dashboard

The Umaku Dashboard provides a unified, AI-driven view of project health, progress, and delivery quality.

It combines traditional project metrics with AI agent feedback, giving teams real-time visibility into execution, quality, and risk.

This dashboard helps project managers, engineers, and stakeholders quickly understand:

• How the project is progressing
• The quality of delivered work
• Sprint performance and alignment
• Open risks, bugs, and descoping requests

What You See on the Umaku Dashboard

The Umaku Dashboard is divided into multiple sections, each focusing on a specific aspect of project execution.

Project Progress

The Project Progress bar shows the overall completion percentage of the project.

• Calculated based on completed work items, sprint progress, and milestones
• Gives a quick, high-level indicator of project health
• Helps stakeholders understand how close the project is to delivery

---

AI Scores Trend

The AI Scores Trend visualizes performance insights generated by AI agents across completed sprints.

AI Feedback Dimensions

The dashboard tracks four core AI evaluation dimensions:

1. Sprint Inclusion
   • Measures how well committed sprint items are actually delivered
   • Highlights scope stability and planning accuracy
2. Code Quality
   • Evaluates maintainability, readability, and correctness of submitted code
   • Based on AI code analysis and review feedback
3. DevOps Compliance
   • Assesses adherence to CI/CD practices, deployment standards, and operational readiness
   • Identifies gaps in automation or process compliance
4. Bugs Finder
   • Tracks potential defects detected by AI
   • Includes logical issues, edge cases, and regression risks

How to read the chart

• Each line represents a completed sprint
• Scores are normalized as percentages
• Trends help teams identify improvement or degradation over time

---

Status Overview

The Status Overview provides a snapshot of all work items by status.

Typical statuses include:

• To Do
• Doing
• Done
• Review
• AI Agent (items currently being analyzed by AI)

Note

This view displays all work items, regardless of their status name. Any card, including custom names, will appear here.

This section helps teams quickly assess workload distribution and delivery progress.

Descoping Requests

The Descoping Requests section shows tasks flagged by AI for potential issues.

AI identifies tasks that may have:

• Code quality problems
• Logical errors
• Other issues impacting delivery

Users can review each request and:

• Accept the descope – move the task back to the backlog
• Reject the descope – remove the task from the sprint

This ensures that tasks with potential problems are either reconsidered or removed, helping maintain sprint and project quality.

Current Sprint Goal and Objectives

This section summarizes the active sprint and its intent.

Includes:

• Sprint title and duration
• Overall sprint completion percentage
• Sprint goal
• Detailed sprint objectives

Purpose:

• Aligns the team around current priorities
• Provides context for AI evaluations
• Helps reviewers understand whether work aligns with sprint goals

Risks

The Risks section highlights known risks that may impact delivery.

• Includes AI-identified and manually added risks
• May contain mitigation notes or dependencies
• Helps teams proactively address issues before they escalate

Why the Umaku Dashboard Matters

The Umaku Dashboard combines execution metrics and AI intelligence into a single view, enabling teams to:

• Detect issues earlier
• Improve code and delivery quality
• Maintain sprint alignment
• Reduce scope creep
• Make data-driven decisions faster

Tutorials

Use these tutorials to understand and work with the Umaku Dashboard. Each guide walks you through a specific part of the dashboard and explains how to interpret the data shown.

View Project Progress

Learn how to quickly understand the overall progress of a project.

1. Open the Project

   1. Navigate to Projects.
   2. Select the project you want to view.
   3. The project opens on the Overview tab, showing the Umaku Dashboard.

   

2. Locate Project Progress

   1. At the top of the dashboard, find the Project Progress bar.

   2. Review the percentage shown on the right side.

   Tip

   This percentage reflects overall project completion based on completed work items and milestones.

Understand AI Scores Trend

Learn how to read AI-generated performance insights across sprints.

1. Find the AI Scores Trend Chart

   1. Scroll down to the AI Scores Trend section on the dashboard.
   2. The chart displays AI evaluation scores across completed sprints.

   

2. Review the Four AI Dimensions

   The chart includes four evaluation dimensions:

   • Sprint Inclusion – Measures sprint commitment vs. delivery
   • Code Quality – Evaluates code maintainability and correctness
   • DevOps Compliance – Assesses CI/CD and operational standards
   • Bugs Finder – Detects potential defects and regressions

Check Status Overview

Learn how to view the distribution of work items by status.

1. Locate Status Overview

   1. Scroll to the Status Overview section.
   2. Review the chart showing all work items grouped by status.

   

2. Interpret the Data

   • To Do – Items not yet started
   • Doing – Items currently in progress
   • Done – Completed items
   • AI Agent – Items under AI analysis

   Tip

   Use this section to identify bottlenecks or workload imbalance.

Review Descoping Requests

Learn how to review tasks flagged by AI for potential removal or deprioritization.

1. Open Descoping Requests

   1. Scroll to the Descoping Requests section.
   2. Review the list of AI-flagged tasks.

2. Take Action

   1. For each request, review the reason provided by the AI.
   2. Choose to:
   • Accept the descope and moved to the backlog
   • Reject it and removed from descoped

   

Review Current Sprint Goals and Objectives

Learn how to understand the focus of the active sprint.

1. Locate Current Sprint Section

   1. Scroll to Current Sprint Goal and Objectives.
   2. Review the sprint title, duration, and completion percentage.

2. Review Sprint Details

   • Sprint goal
   • Sprint objectives
   • Key focus areas (features, improvements, bugs)

   Note

   This section provides essential context for AI scores and project progress.

3. Locate Risks

   1. Scroll to the Risks section at the bottom of the dashboard.
   2. Review listed risks and mitigation notes.

   

   Tip

   Use this section to proactively address blockers and dependencies.