Friday, April 21, 2017

Beyond Kanban

In the last lesson learned, we saw that Kanban is easy. It's easy because it only describes how work flows - there's a whole depth to it with value stream mapping, prediction, planning and measurement but that's really not that complicated either as we'll see soon enough. What Kanban cannot solve is how the work is understood.

In manufacturing, the origins of the culture that spawned Kanban, the product is always the same...therefore (much like a McDonald's) there are finite, well defined steps that procude a specified outcome everytime (within some degree of acceptance). In software, there's the same sort of problem but the product is different every time...

Since the product is different every time (if it wasn't we wouldn't need to build something new) the "specified" differs every time as does the "acceptance" and the "degree". Stephen Connolly eloquently describes this issue in this blog post

As Stephen describes by way of the problem with the shields on the USS Enterprise, the understanding of the feature will need to be clarified with the upstream party. Add a button to the screen, make it do something. Also make sure shields can be activated in other ways - different interfaces. the upstream party - shield system engineers (Scotty?) needs to make sure those shields can be activated from multiple sources. Now the shield becomes downstream for the activation call. Shield engineer specifies interaction protocols maybe defines some security practices - who makes that decision? Now it might be a deeper matter of verifying who is calling to raise the it Borg Captain Picard? Real Captain Picard? What's the override protocol? Does it need to change for this? Now it gets complex...what was a button is now a security and safety concern since were opening up access to a critical safety system...

Guess what? This is what Lean Change Management is all about - managing this sort of change without invoking filibuster (or bike-shedding, if you will). Map impact of the change, radiate change info, talk to people about the change, make changes small so they succeed. But I digress...

Point is, when we go beyond the initial ask (the happy path) and we have different requirements for each change, as Stephen points out, things need to be explicit. Kanban doesn't specify how this is done in software, but other processes do - to a degree.

In TPS (Toyota Production System) all the details are worked out well before the manufacturing process starts. In Software, that's generally not a good way to work. I recommend taking a bit from Scrum and breaking down the details at the start of some Kanban there is no iteration, but there is a work week so why not use that? Start going through the feature stack each week start. Fill in details about the top features and break down the features into work stacks with details. If the stack starts running low mid-week, put in a kanban for feature breakdown. Stop the line, breakdown features and reiterate. This way there is continual flow.

One thing this does is force small changes. Small changes are critical to agility, they are mutually inclusive. You have to be able to ship and switch gears to be agile - by definition.

On a personal note, I've always found the Sprint (of the Scrum process) awkward due to the fixed time box. Because of that fixed time box, we're forced to jam ill-fitting work into that box. Often we over-scope because we're inherently optimistic - to a fault. It makes more sense to me to make landmarks out of shippable features or feature sets. Estimation comes from measurement of past sizing...instead of asking "how long will this take to develop" we use past data on "how long will something this size/complexity take to deliver", a more important prediction by far. It's also easier to measure - when did we start and when did we release it and actually start to realize its value (lead-time). That's what really matters anyways.

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