DORA Guides on

How to enable your software delivery teams to innovate with generative AI

Wed, 12 Jun 2024 00:00:00 +0000

Experimenting with or adopting a new process or technology–such as generative AI–requires a strategic approach across the entire organization. For all roles, it’s important to start small, plan for measuring the impact, and be able to iterate as necessary. If you want to enable your software teams to innovate with generative AI, a strategic approach is critical. Focusing on impact and iteration, you can then measure success through clearly defined outcomes that capture the effectiveness of this new technology. You can understand if it’s meeting the needs of your organization.

Value stream mapping for software delivery

Mon, 19 Aug 2024 00:00:00 +0000

How to transform your organization

Wed, 22 Mar 2023 13:43:36 +0000

Every organization is constantly undergoing change. Therefore, some questions to ask are:

What is the direction of that change?
What are the system-level outcomes you are working towards?
Is the organization better able to discover and serve its customers, and thus achieve its purpose?
Does the organization’s business model and management of its people provide long-term sustainability?

When it seems as if things aren’t going to plan, it’s common for leaders to roll out a transformation program. However, these programs often fail to achieve their goals, using up large quantities of resources and organizational capacity. This document examines how to successfully execute a transformation and addresses some common sources of failure.

How to empower software delivery teams as a business leader

Sun, 01 Oct 2023 13:45:46 -0400

Measurement is vital for developing high-performance software delivery teams. Without metrics to inform the process, learning from experiments is limited. In the worst case, the attempt could result in a worse outcome. Let’s explore the impact of measuring for performance versus measuring for productivity on your ability to meet your goals.

Productivity and performance

Productivity is a measure of the efficiency of production for goods and services. In contexts where a clear line can be drawn from inputs to outputs, turning up the dial on inputs inevitably produces more outputs: put more materials in, get more toasters out. In software delivery, however, the search for the complex combination of inputs that can be dialed up to provide the desired outputs has been fruitless. We’re not delivering the same toaster in greater numbers—if ten lines of code make you $10, you’d be unwise to predict that a thousand lines of code will bring you $1,000. In fact, adding code can reduce revenue, by adding complexity.