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The Complete Recipe for Digital.ai Agility

Digital.ai Agility is a powerful platform for managing and scaling Agile projects. It offers a wide range of features to help teams collaborate, track progress, and deliver value faster. This post will give you a complete recipe for using Digital.ai Agility, from initial setup to ongoing optimization.

Setting up Digital.ai Agility

The first step is to set up your Digital.ai Agility instance. This involves creating a new workspace, adding users, and configuring the necessary settings. You'll also need to decide on a workflow for your projects, and set up any custom fields that you need.

Creating a Workspace

The first step is to create a workspace. This is a container for all of your Agile projects. You can create as many workspaces as you need, but it's generally a good idea to keep them organized by team or department.

Adding Users

Next, you need to add users to your workspace. You can do this by inviting them via email or by importing a list of users. Once users have been added, you'll need to assign them roles and permissions.

Configuring Settings

Next, you need to configure the necessary settings for your workspace. This includes things like the time zone, currency, and language. You'll also need to configure your notifications and integrations.

Using Digital.ai Agility for Agile Project Management

Once your workspace is set up, you can start using Digital.ai Agility for Agile project management. This involves creating projects, defining sprints, and tracking progress. You'll also need to manage your backlog, and create reports.

Creating Projects

The first step is to create a project. This will be a container for all of your work items, such as user stories and tasks. You can create as many projects as you need, but it's generally a good idea to keep them organized by team or department.

Defining Sprints

Once you've created a project, you need to define your sprints. Sprints are short, time-boxed iterations of work. They typically last 2-4 weeks. You'll use sprints to plan your work and track progress.

Tracking Progress

As you work on your sprints, you'll need to track progress. Digital.ai Agility provides a variety of tools to help you do this, such as burndown charts and velocity charts.

Managing your Backlog

Your backlog is a list of all the work items that need to be done. You'll need to manage your backlog to ensure that you're always working on the most important items.

Creating Reports

Finally, you'll need to create reports to track your progress and identify areas for improvement. Digital.ai Agility provides a variety of reports that you can use to track your progress.

Optimizing Digital.ai Agility for Your Team

Once you've been using Digital.ai Agility for a while, you'll likely want to optimize it for your team. This involves configuring custom fields, creating custom workflows, and integrating with other tools.

Configuring Custom Fields

You can configure custom fields to track any data that's important to your team. This might include things like priority, effort, or risk.

Creating Custom Workflows

You can create custom workflows to match your team's process. This might involve creating different stages for your work items, or adding custom transitions between stages.

Integrating with Other Tools

You can integrate Digital.ai Agility with other tools to improve your workflow. This might include things like Slack, Jira, or Microsoft Teams.

Conclusion

Digital.ai Agility is a powerful platform for managing and scaling Agile projects. By following the recipe in this post, you can get the most out of Digital.ai Agility and improve your team's productivity. Remember to regularly review and optimize your setup to ensure it continues to meet your team's needs.