FlowViz - Data visualization for teams using Azure DevOps

What is it?

This dashboard is for all Agile teams using Azure DevOps (formerly VSTS), who want to leverage their data to have better conversations and make more informed decisions. It was built due to years of frustration with 'velocity' and other traditional agile metrics. These are centered on flow, as well as providing forecasting techniques you can use to give customers greater confidence/transparency in your delivery.

Prerequisites

Make sure you have the latest version of Power BI Desktop
Download the appropriate template file
- FlowViz - Project (for a single project)
- FlowViz - Organization (for all Projects within an Organization)
Then you're good to get started!

Connectivity

Open the .pbit file
Select http/https (only choose http if your Azure DevOps Server is HTTP)
Add the Analytics / Azure DevOps Server URL - for Azure DevOps services enter ‘analytics.dev.azure.com’ / for Azure DevOps Server enter your server details
Add your organization and project name

Don’t confuse the team name with the project name, a common mistake. If the URL you use is “http://dev.azure.com/Microsoft-UK/AzureDevOpsTeam/Database”, then Microsoft-UK is the Organization Name, AzureDevOpsTeam is the Project name, Database is the team name.

Example - connecting to Azure DevOps Services

example Azure DevOps Services connection

Example - connecting to Azure DevOps Server

example Azure DevOps Server connection

Hit ‘Load’

What do these charts mean? How can I learn more?

There is a FlowViz Fundamentals course now available.

For questions on charts, how to use them and other questions check out the Wiki.

If you want to embed these charts into Azure DevOps, check out this brilliant blog for guidance.

Screenshots

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Feedback

FlowViz is built and maintained by Nicolas Brown and is published using Agile Extensions for assistance (big thank you to them!) Please email nicolas.brown@outlook.com for ideas, improvements and feedback.

You can also ask in the #flowviz channel in the Azure DevOps Club Slack community:

Thank you

Thank you to all the people who helped build this, providing feedback and answering my questions especially: