Using Noesis — Your AI Flow Guide

Getting AI Insights with Noesis —

Noesis is your AI-powered Agile guide — named from the Greek word for "insight through understanding."

It analyzes your team's flow data and provides actionable guidance to help you improve your flow delivery predictability.

How to open Noesis

Two ways to open Noesis:

1. Click "Ask Noesis" from any report or the dashboard view.

2. Click the gray sidebar with the Brain icon on the right side of the reports.

The Noesis panel opens on the right side of your screen.

Tip:

1. When clicking Ask Noesis - Noesis will focus on the specific report and data you're currently viewing.

2. When clicking Learn more — Noesis will explain the report and how to interpret your current data.

Getting started with Noesis — Become your team's flow expert

Choose from guided topics to explore:

• Getting Started — Learn how to turn delivery chaos into predictable flow.

• Reading Flow Trends — Understand what your metrics really mean and which combinations matter

• Cycle Time Predictability — Learn which work types are predictable and how to reduce variation

• Cumulative Flow Diagrams — Spot bottlenecks before they derail your delivery

• Sprint Health Analysis — Diagnose what went wrong and build systematic fixes

• Coefficient of Variation (CV) — Understand how CV measures consistency across your flow metrics

Noesis will interpret your data and give guidance on next steps

Type your question or click "+ Get advice on.." to get interpretation on a specific report

1. How predictable is my team?

   1. Get insights on the Predictability Card data - Coefficient of Variation.

2. How can I improve predictability?

   1. Get insights on Scatter plot data by work type or story point to improve flow

3. How is my team trending?

   1. Get insights on key flow metric trends over the last 6 sprints

4. Where are our bottlenecks?

   1. Get insights on cumulative flow diagram data to understand and fix bottlenecks

5. How healthy was our sprint?

   1. Get insights on Sprint problems and ideas on how to effectively address them