Definable Work project vs high degree of uncertainty Work: Agile Project Management

Definable vs High Uncertainty

What is Agile Project Management

Agile project management is an iterative approach to executing projects throughout their lifecycle.

An iterative or agile lifecycle consists of multiple iterations or incremental steps to complete a project. Software development projects often use an iterative approach to promote speed and adaptability. The advantage of iteration is that you can adapt over time instead of following a linear path.

One of the goals of any agile or iterative approach is to derive benefit throughout the process, not just at the end of the process. Agile projects should fundamentally demonstrate core values ​​and behaviors such as trust, flexibility, empowerment, and collaboration.

Definable Work project vs high degree of uncertainty Work

Project work can range from definable work to work with a high degree of uncertainty.

A definable work project is characterized by a clear process that has been proven in past similar projects. Manufacturing a car, appliance, or home after the design is complete are examples of definable work. The production area and associated processes are usually well known and usually involve little uncertainty and risk in execution.

New designs, problem solving, and unfinished work are exploratory. To create a solution, subject matter experts must work together to solve a problem. Examples of people facing high levels of uncertainty at work include software systems engineers, product designers, doctors, teachers, lawyers, and many problem-solving engineers. As more definable work is automated, project teams are embarking on more uncertain work projects that require the techniques outlined in this practical guide.

Projects with high uncertainty have high change rates, complexity and risk. These characteristics can pose problems for traditional forecasting approaches that aim to anticipate most requirements and drive change through the change request process. Instead, an agile approach was developed to explore feasibility in short cycles and quickly adapt based on evaluation and feedback.

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