Kanban: Real Scaled Agility for Your Enterprise

Your business is an ecosystem of interdependent services, a complex adaptive system; ‘scaling it’ can add more complexity.

A bunch of organizations I know started their journey of increasing their agility with Scrum. That didn’t solve all of their problems. Kanban enables organizations to evolve their service delivery systems towards mature business agility.

As addressed in How Kanban Saved Agile, pure Scrum is extremely rare. Scrumbut (the disparaging label that spawned from so many organizations reporting that they do Scrum, but…) on the other hand, is extremely common.

In order to not be Scrumbut, you need the following:

• Cross-functional development team of 7 +/- 2 people—ALL skills needed to ship product is present on the team—there are no dependencies external to the team;
• One source of demand with no capacity constraints—the Product Owner is the customer AND full-time member of the team;
• Sprints are one month or less, begin with starting new demand from the Product Owner and end with the delivery of potentially shippable Product Increments, followed by a retrospective about how to do better next Sprint;
• “Potentially Shippable” means that the decision about whether to actually ship is purely a business decision. All the technical work is done;
• If all of the technical work required in order to ship isn’t done, then the Sprint is a failed Sprint;
• The Scrum Master is a servant-leader and Scrum educator to the entire organization.

How many organizations do you know of with Scrum teams that meet all of the requirements above? I don’t know one.

So, what’s the solution? Give up on Scrum? Are we still getting benefits from Scrumbut? Alright, let’s stop it with the Scrumbut already. Let’s acknowledge what’s really going with real teams in the real world and call that Scrum. Let’s refer to the above  checklist as “Ideal Scrum”.

Agile scaling methods have become a popular risk hedging tactic for all the loose ends dangling around the real teams in the real world.

Here are some of the reasons for adding layers of scaling around Agile teams:

• Teams are not fully cross-functional;
• Teams have external and opaque depencies;
• Many of these dependencies are shared services with multiple sources of demand and constrained capacity—often overburdened;
• External dependencies can be other teams—demand from other teams shows up in their backlogs, prioritized by their own Product Owners;
• Many dependencies don’t play by the same rules at all—some reside in a different part of the organization, with different structures and political forces;
• The Product Owners are proxies for multiple stakeholders and customers and the Product Backlogs represent an array of multiple sources of demand, with different service level expectations, strategic origins, degrees of clarity, urgency and political forces pushing them into the deliver organization;
• The Product Backlogs are made up primarily of solutions defined by stakeholders and translated by the pseudo-Product Owners as pseudo-user stories—how they get there is opaque, the “fuzzy front end”—and somewhere in here a fuzzy delivery commitment was already made;
• The work of a Sprint includes all of the work that the non-cross-functional teams can get done—then whatever the teams get “done” is “delivered” (handed-off) to a subsequent set of teams or process steps (usually fairly well defined at an organizational level but outside of the teams’ influence);
• Delivery decisions are made based on constraints imposed by legacy technology, systems and their gatekeepers (for historically good reasons);
• The teams are “done” at the end of each Sprint, yet much work is still to be done before their “done” work is potentially shippable;
• The Scrum Master’s are held collectively accountable for the collective deliverables of the teams and their ability to cross-team coordinate and integrate—accountability by committee translates into no one is actually responsible.
• Middle managers are scrambling to pick up the pieces because they are actually accountable for delivered results.

Generally speaking, the aim of Agile scaling methods is to apply larger Agile wrappers around clusters of Agile teams in order to re-establish some kind of hierarchical structure needed to manage the interdependencies described above. Whether its a Release Train or a Nexus, or whatever else, the idea is that there is an “Agile Team of Teams” managing the interdependencies of multiple, smaller teams. As long as the total number of people doesn’t grow beyond the Dunbar number (~150), the Dunbar-sized group is dedicated and cross-functional, there is a team managing the interdependencies within the Dunbar, there are no dependencies outside of the Dunbar and there is some cadence (1-3 months) of integrated delivery—it’s still “Agile”. All of this scaling out as far as a Dunbar (and only that far) allows the enterprise to still “be Agile”—Scaled Agile.

This is all supposed to be somehow more realistic than Ideal Scrum (with perhaps am overlay of Scrum of Scrums and a Scrum of Scrum of Scrums). It’s not. How many organizations do you know of that can afford to have ~150 people 100% dedicated to a single product? Perhaps today there is enough cash lying around, but soon enough the  economic impact will be untenable, if not unsustainable.

How does Kanban address this problem? Your business is a complex adaptive system. You introduce a Kanban system into it such that it is likely that the complex adaptive system is stimulated to improve. The Systems Thinking Approach to Introducing Kanban—STATIK—is how you can make such a transition more successful (@az1):

1. Understand the purpose of the system—explicitly identify the services you provide, to whom you provide them and why;
2. Understand the things about the delivery of the service that people are not happy about today—both those whose needs are addressed by the service and those doing the work of delivering the service;
3. Define the sources of demand—what your customers care about and why;
4. Describe the capability of your system to satisfy these demands;
5. Map the workflow of items of customer-recognizable value (@fer_cuenca), beginning with a known customer need and ending with the need being met through stages of primary knowledge discovery (Scrum teams somewhere in the middle, towards the end)—focus on activities, not looping value streams;
6. Discover classes of service—there are patterns to how different kinds of work flow through your system (they are not arbitrarily decided by pseudo-Product Owners), what are they? Group them, they are classes of service and knowing them enables powerful risk management;
7. With all of the above as an input, design the Kanban system for the service;
8. Learn how to do steps 2-7 and start applying it directly to your own context in a Kanban System Design class;
9. Socialize and rollout (learn how by participating in a Kanban Coaching Professional Masterclass);
10. Implement feedback-loop Cadences for continuous evolution—learn the 7 Kanban Cadences and begin applying to your own context in a Kanban Management Professional class;
11. Repeat with all of the interdependent services in your organization—every “dependency” is a service—Kanban all of them with STATIK and begin implementing the Cadences.

Don’t get hung up on teams, roles, your latest reorg, how people will
respond to another “change”, who’s in, who’s out, etc. These are all part of the service as it is now—your current capability. Initially, no changes are required at this level. The kanban system will operate at a higher level of scale. Through feedback-loop cadences, it will evolve to be fit for the purpose of your customers without a traumatic and expensive reorg.  Who is responsible for this? Identify this person. If you are the one thinking about this problem, there is a good chance that it’s you. Whoever it is, this is the manager of the service; take responsibility, do the work and make life better for everyone.

For more information about LeanKanban University Certified Kanban courses provided by Berteig, please go to www.worldmindware.com/kanban. Some spots are still available for our classes in Toronto, June 12-16.

For Agilists who have read this far and still don’t get it, start here:

14 Things Every Agilist Should Know About Kanban

The story below may be familiar to some:

Our IT group started with Scrum. Scores of people got trained. Most of our Project Managers became “Certified” Scrum Masters. Most of our Business Analysts became “Certified” Product Owners. We purged some people who we knew would never make the transition. We reorganized everyone else into cross-functional teams – mostly developers and testers. But now they are Scrum Developers. We tried to send them for “Certified” Scrum Developer training but hardly anyone of them signed up. So they are Just Scrum Developers. But we still call them developers and testers. Because that’s still how they mostly function—silos within “cross functional teams”, many tales of two cities rather than just one.

After the Scrum teams had been up and running for a while and we were able to establish some metrics to show the business how Agile we were (since they didn’t believe us based on business results), we had a really great dashboard showing us how many Scrum teams we had, how many Kanban teams, how many DevOps, how many people had been trained. We even knew the average story point velocity of each team.

The business didn’t get it. They were worried that Agile wasn’t going to solve their problem of making commitments to customers and looking bad because we still weren’t able to deliver “on time”.

As IT leadership, we were really in the hot seat. We started to talk about why the transformation wasn’t going as it should. We knew better than to bring the Agile coaches into the boardroom. They were part of the problem and needed to be kept at arms length from those of us who were making important decisions. Besides, their Zen talk about “why?” was really getting old fast. Some thought it was because we didn’t have the right technology. Others were convinced it was because we didn’t have the right people. After all, we didn’t go out and higher experienced (above-average) Scrum Masters and Product Owners, instead we just retrained our own people. Clearly that wasn’t working.

We started with improving the Scrum Masters. We went out and hired a few with impressive resumes. We developed some Scrum Master KPIs (HR jumped all over this one). Then one day we had a collective flash of brilliance—since the ScrumMasters are the servant leaders of teams, we will make them responsible for collecting and reporting team metrics and this will tell us how well the teams are doing and how they need to improve. This surely would be the key to improving the performance of IT and get us on a better footing with the business.

But we didn’t get the response we were hoping for. The ScrumMasters soon complained that the metrics of the teams were impacted by dependencies that they had no influence over. When we pushed harder and shamed them publicly for failing to produce meaningful metrics, they tried harder, but they weren’t able to do it. Some began disengage. “This is not the job I signed up for” became their new mantra. This was puzzling. We were empowering them and they were recoiling. Maybe we didn’t get the right Scrum Masters after all. Maybe we needed to go out and find people who could think and act effectively beyond the confines of their own teams. Or…

If you find this useful, please consider contributing with our
“Value for Value” model.