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October 04, 2022

Agile metrics

Agile metrics are a set of statistics that measure the performance of an agile project. They provide insight into how well the team is performing and if they need to make changes to meet their goals. Agile metrics can help teams understand where they stand, what needs improvement, and how to improve their PM process for better results. Agile metrics are an essential part of any agile team. They can help you track progress on your project, identify the areas that need improvement, and show what needs to be done next.

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Agile metrics

Common Metrics used in agile

Sprint burndown

The sprint burndown is a diagram that tracks the work completed in each sprint. It shows how much work has been done, how much is to do, and what percentage of the total work has been completed. The progress on this chart can be used to indicate whether or not you are making good progress towards completing your project according to schedule.

Release burn down

Release burn down is a technique for tracking and reducing the work in progress (WIP) of an effort. It is key to releasing software that works and can be released more than once before it becomes obsolete. The release burn down is a great way to visualise the progress of your project. By understanding how much work has been completed and what needs to be done, you can easily see if your team is on track for its goal.

Control charts

 Control charts are a type of statistical process control that involves plotting actual data points on a chart to see if the values fall within an acceptable range. The goal is to identify trends and patterns to make better quality decisions, leading to improved customer experience.

Cumulative flow diagram

 Cumulative flow diagram is a graphical representation of the number of items that have been processed in a given period. It helps identify bottlenecks and constraints within a process, which can help you improve your process's efficiency.

Difference between traditional and agile project management

Traditional

Agile

 In traditional project management, there is a defined process that all team members follow. This gives them a sense of predictability and stability.

In contrast, to agile, the process is not predictable or stable because it changes as circumstances change. As a result, agile project managers maintain flexibility to adapt to changing circumstances and build off previous work with minimal interruptions to the workflow.

The traditional approach uses a predetermined plan

 Agile project management utilizes an incremental, iterative process.

Traditional project management is a linear process where you identify all tasks, set deadlines for completion, and track the progress. It's based on what has been done before with no consideration of new technologies or tools.

Agile project management is an iterative process that focuses on quick feedback loops to ensure that the team delivers value quickly. In addition, it allows for changing priorities as required by changes in technology or customer needs.

  Traditional projects have a much longer timeline than agile projects because they take a sequential approach to solving problems like steps 1, 2, etc.

Agile projects solve one problem at a time as they arise.

The ownership of a project belongs to a project manager. The manager plans and documents the entire journey of the project. Apart from managers, clients are involved during the planning stage, but they don’t have any involvement during the execution stage.

In agile methodology everyone in the team contributes in the planning phase to finishing the work within the estimated time. They can also track the status of the tasks, which helps to maintain a productive and engaging work environment.

 Agile software development metrics

Net promotor score

 A Net Promoter Score is a measure of customer loyalty. The score is based on the responses from a single question: "How likely are you to recommend our company/product/service to a friend or colleague?" People who answer with 9 or 10 are called Promoters, and they will tell others about your company. People who respond with 0 to 6 are Detractors, and they won't be happy customers. A Net Promoter Score can help determine how satisfied your customers are with your products or services. It can also show if you need to make changes for more people to become promoters rather than detractors.

Time to market using time and lead time

The time it takes for a company to move products from the point of development to delivery is known as lead time. Lead time can be broken down into two components: cycle time and lead production capacity. Cycle time, in turn, is defined as the amount of elapsed calendar days between when an order was placed and when it has been delivered.

Team satisfaction using team health check

 A team health check can help determine trouble spots within your organisation that could be trouble areas for employee morale. Addressing these issues before they become bigger problems will make it easier for you to create a positive work environment. It is not just about asking your teammates how satisfied they are with their work; it also includes measuring stress levels, emotional stability, and overall happiness.

Agile Metrics to Ensure Code Quality

Code average

Code coverage is a software metric that measures the amount of code executed by tests. Code coverage can be used to determine if there are sections of code that need more testing or if they should be removed altogether. Code coverage does not cover all types of testing but gives a valuable progress perspective. High code coverage rates do not mean it does not mean high quality in code.  

Code churn

Code churn is the term that refers to the number of lines that have been added or removed from a codebase. A high code churn means that developers are constantly changing the code, while a low churn means they are not making any significant changes. Code churn can be measured by looking at how many new or changed code lines there are over time and is usually expressed as a percentage.

McCabe’s Cyclomatic Complexity 

 It measures the complexity of code which means less cyclomatic complexity = better code.

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