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How to implement lean value stream mapping in your toolchain
Issue management tools like Jira usually now provide an integrated way to manage requirements, tasks, and defects. Typically they also provide search functionality, agile boards, customisable workflows, and sometimes, time-tracking.
However, they are increasingly being used to measure the value streams of a software development organisation. Value stream management is not a new technique, it has its origins in value stream mapping, like many process improvement techniques. It is a recognised part of the Six Sigma technique. In essence it is a lean-based approach to mapping the value added by different parts of the software development process, and to identify waste, and then manage it.
As issue management tools track the states of different types of work, they therefore provide a proxy for measuring where work is within a larger process.
One example metric is the time that issues spend on average in each state. When this is compared between components, products and teams, it can provide useful insight to where inefficiencies are rooted.
You can add various “time in state” charts to your various dashboards to see how long different tests, issues or other types of tracked ticket are spending in different statuses. You can also see how this changes over time.
If you are wondering why you would want to do this – a key principle of lean is “just-in-time” working. The less time things spend between elaboration and business feedback in production – the more efficient you are!