flow

Prioritization

There two different times that we need to prioritize work and we should be using completely different approaches to that prioritization, for each stage.

Wait states

The metrics covered in our Flow Metrics Basics class show how to measure different aspects of flow, but those metrics don’t in themselves, show how to improve the flow. We’ll look at one way to improve now.

Basic Flow Metrics

Flow metrics tell us about the activity in the system; how well is the work flowing. These are often the first metrics that I consider when trying to improve a system. I start here partially because these metrics are easier to collect than many others, and because I can still make many effective decisions based on just this.

Visualizing Flow Efficiency

I’m playing around with visualizing flow efficiency in my JiraMetrics tool. Flow efficiency is the percentage of time that we’re actually adding value to the work item divided by the total time. So if a ticket is open for 10 hours but in that time we only spend 2 hours actually working on it then the flow efficiency would be 2 / 10 or 20%.

Fractional people

I worked with two teams that shared a database specialist, for a fairly proprietary system. Because she was on two teams, they had her attend all meetings for both teams. Two standups, two planning meetings, two retrospectives. She ended up doing crazy amounts of overtime because she couldn’t get her regular work done during the day. Her days were filled with meetings, and it was only after everyone else left that she got anything done.

Flow Efficiency

Flow efficiency (sometimes called Cycle Efficiency) is a metric that gives us a sense of how much time work is waiting. A flow efficiency of 100% would indicate that we are adding value to the work item for the entire time it’s in progress. 50% would imply that half the time we’re working on it and half the time the work is just waiting.