Review – Scrum: The Art of Doing Twice the Work in Half the Time

 Scrum: The Art of Doing Twice the Work in Half the Time. Jeff Sutherland and JJ Sutherland

There’s a rule of thumb in software development circles that the best programmers can be ten times as productive as average programmers. This is the underlying argument for why organizations seek to find and hire the best people. There is research to support this disparity in productivity. There is similar research on the relative productivity of teams. There, the range in productivity between the best and the rest is closer to two orders of magnitude; as much as a 1,000 times more productive.

Jeff Sutherland makes the case that the practices that collectively make up “Scrum” are one strategy for realizing those kinds of payoffs.

Sutherland is a former fighter pilot, a software developer, one of the original signatories of the Agile Manifesto, and the inventor of Scrum. This is his story of how Scrum came to be, what it is, and why it’s worthwhile. The particular value of the book is its focus on why Scrum is designed the way it is and why that matters.

Scrum’s origins and primary applications have been in the realm of software development. Sutherland builds an argument that Scrum’s principles and methods apply more broadly. Although he doesn’t make this argument directly, this wider applicability flows from evolutionary changes in the the organizational environment. Changes in the pace and complexity of organizational work simultaneously make conventional approaches less effective and Scrum more so.

Scrum is a collection of simple ideas; it’s a point of view about effective problem solving more than a formalized methodology. That’s important to keep in mind because like too many solid ideas, the essence can get lost in the broader rush to capitalize on those ideas. There appear to be an unlimited supply of training courses, consultants, and the usual paraphernalia of a trendy business idea; you’re better off spending time reading and thinking about what Sutherland has to say first. That may be all you need if you’re then willing to make the effort to put those ideas into practice.

Sutherland traces the roots of Scrum to the thinking underlying the Toyota Production System. He also draws interesting links to John Boyd’s work on strategy embodied in the OODA Loop and to the martial arts. Scrum is built on shortening the feedback between plans and action. It is a systematic way of feeling your way forward and adapting to the terrain as you travel over it.

Sutherland draws a sharp contrast with more traditional management techniques such as Waterfall project management approaches and their well-worn trappings such as Gantt charts and voluminous unread and unreadable requirements documents.

Understanding the managerial appeal and limitations of these trappings is key to grasping the contrasting benefits of Scrum. Waterfalls and Gantt charts appeal to managers because they promise certainty and control. They can’t deliver on that promise in today’s environment. In the software development world, they never could and in today’s general organizational environment they also come up short.

Understanding that appeal and why it is misplaced clarifies the strengths of Scrum. There was a time when managers came from the ranks of the managed. They had done the work they were now responsible for overseeing and were, therefore, qualified to provide the direction and feedback needed to pick a path and follow it. Management was primarily about execution and not about innovation.

The illusion in waterfall and other planning exercises is that what we are doing next is a repeat of what we have done before. If we have built 100 houses, we can be confident of what it will take to build the 101st. If we are building a new road or a new bridge, then what we have learned from the previous roads and bridges we’ve built can provide a fairly precise estimate for the next.

This breaks down, however, when we are building in new terrain or experimenting with new designs. The insights and experience of those who’ve built in the past don’t transfer cleanly to this more dynamic environment. The world of software has always been new territory and we are always experimenting. The terrain is always in flux even when the technology is temporarily stable. Now, it is those who are doing the work who are best positioned to plan and manage as we move into new territories and terrain.

Scrum comes into play when we are moving into territory where there are no roads and are no maps. If you are moving into new territory you can only plan as far ahead as you can see. There are no maps to follow. Sutherland puts it thus:

Scrum embraces uncertainty and creativity. It places a structure around the learning process, enabling teams to assess both what they’ve created and, just as important, how they created it. The Scrum framework harnesses how teams actually work and gives them the tools to self-organize and rapidly improve both speed and quality of work.

There’s a terminology and a set of techniques that make up Scrum. Sutherland covers the basics of such notions as scrum masters, product owners, backlog, sprints, retrospectives, communication saturation, continuous improvement, and stand up meetings. But he’s no fan of turning these into dogma.

Scrum runs the risk of being viewed as no more than the latest management fad. Sutherland is a true believer and has evidence to support his belief. There are lots of true believers but only a few are willing to bring substantive evidence to back up that belief. That earns Sutherland the right to offer his own closing argument:

What Scrum does is alter the very way you think about time. After engaging for a while in Sprints and Stand-ups, you stop seeing time as a linear arrow into the future but, rather, as something that is fundamentally cyclical. Each Sprint is an opportunity to do something totally new; each day, a chance to improve. Scrum encourages a holistic worldview. The person who commits to it will value each moment as a returning cycle of breath and life.

The heart of Scrum is rhythm. Rhythm is deeply important to human beings. Its beat is heard in the thrumming of our blood and rooted in some of the deepest recesses of our brains. We’re pattern seekers, driven to seek out rhythm in all aspects of our lives.

What Scrum does is create a different kind of pattern. It accepts that we’re habit-driven creatures, seekers of rhythm, somewhat predictable, but also somewhat magical and capable of greatness.

When I created Scrum, I thought, What if I can take human patterns and make them positive rather than negative? What if I can design a virtuous, self-reinforcing cycle that encourages the best parts of ourselves and diminishes the worst? In giving Scrum a daily and weekly rhythm, I guess what I was striving for was to offer people the chance to like the person they see in the mirror.

Learning from cases; getting smarter by design

One of my enduring memories from my first days in business school is a video interview of a second year student offering advice on surviving the case method. While I didn’t fully appreciate it at the time, it was totally appropriate that his advice was a case study in its own right.

He began with a story of the business challenge of “sexing chickens.” In the chicken business, it turns out that it is important to separate roosters and hens when both are no more than puffs of feathers. The clues are subtle and not reducible to a checklist. Novice chicken sexers can’t be taught to do their job but they can learn.

Prospective chicken sexers go through an apprenticeship. They sit down with a batch of chicks, pick one up, flip it over, inspect, and guess. Sitting next to our prospect is a veteran chicken sexer. The veteran’s job is to give the prospect feedback; either a “yes” for a correct guess or a smack in the head for a mistake. After a hundred or so guesses, the prospect’s error rate will drop close to zero. Neither the prospect or the veteran will be able to offer an explicit theory of what they are doing, yet they are effective.

Learning by the case method is a similar process of guessing and rapid, memorable, feedback. As an aside, recognize that this also describes the essence of machine learning. It is experiential learning at its purest.

The craft in designing case method learning lies in selecting and sequencing cases so that the lessons can be delivered more rapidly and reliably than the random accumulation of experience permits. The assumption here is that there is an order that can be exploited to guide action. There must be an underlying pattern that one can solve for.

If you subscribe to the value of the case method as a learning strategy, you are making a claim that there is a balance between theory and practice to be managed. It is a claim that the particulars matter; that experience or theory can only go so far in crafting a response. That you have a responsibility to design a response that acknowledges that every situation is a mix of old and new, predictable and unpredictable.

There’s a notion here that I am struggling with that has to do with the rate of change. I think that case-based learning potentially makes this issue more visible.

In a slow-changing world, experience matters greatly. Recognize how this situation maps to what we’ve seen and responded to before and right action is clear. As the rate of change increases, the value of experience changes. Prior experiences suggest actions and responses that can serve as the basis for designing a modified response that blends old and new.

Pushing the rate of change still higher means that effective response demands more design and less “here’s what we’ve done before.” What does that imply for learning effectively?

My hypothesis is that we need to make the experiential learning process visible, explicit, and deliberate. In a conventional case-based learning environment, there is a separation between those who are learning and those who are facilitating the learning—which is not the same thing as teaching. The goal is for those learning to build a robust, internal, theory of action. The facilitators have strong ideas about what that theory should look like and cases are sequenced to force the learners to develop an internal theory that matches the target theory.

What’s happening in higher-paced environments is that our learners and facilitators are becoming harder to distinguish. In a sense, we are back to a world of pure learning from experience. What changes is that as learners we now must be responsible for building our theories dynamically.

While this can still be described as a form of reflective practice, that reflection now must operate at several levels of abstraction. We can’t rely simply on organic processes to slowly and unpredictably get smarter over time. We need to get smarter on purpose and by design.

Searching for the secret class

permanent whitewaterThere was a time when I wanted to get my hands on the syllabus for the “secret class;” the secret being how to navigate the real world outside the classroom. Think of me as a male version of Hermione Granger; annoyingly book smart and otherwise pretty clueless. Classes were easy; life not so much.

Most of us spend enough time between classes in hallways and playgrounds to soak up the necessary experiences to get a clue. Through a peculiar set of circumstances and events, I was late in encountering and absorbing these experiences. My wife is on record that she would have crossed the street to avoid that earlier me. My therapist assures me that these lessons are learnable as long as I put my heart in circuit between my brain and my mouth.

Because this arena was foreign to me, I had to study it much as an anthropologist might; observing, cataloging, and making sense of what I see. The biggest risk for an anthropologist is to “go native”; to leave the edge and to immerse themselves in the action. Life demands immersion.

I make no claims about life in general. Life within organizations, however, is a place I understand. Thinking about secret classes and learning in organizational settings turns out to be a fruitful path. Really smart people, like Chris Argyris and Donald Schon among others, have thought a great deal about the things people need to learn within organizations. They talk about skills and perspectives that are effectively secrets and acquired by way of experience rather than classrooms.

Experience alone is rarely sufficient to impart these lessons; managers and executives become effective by way of reflective practice. They must process and digest experience to transform it into effective managerial practice. Classic examples of this deliberate reflection are Chester Barnard’s The Functions of the Executive and Alfred Sloan’s My Years with General Motors.

These are valuable and insightful analyses of complex organizations and executive work. They also highlight critical ways that reflective practice must evolve. It’s a common trope that organizations operate in an increasingly fast and complex environment. It’s common because examples to demonstrate it surround us. In the early days of my career, we were still converting paper-based business processes to electronic. Today, we’re knitting together digital processes spanning multiple

That plants us in a world where the volumes of digital data threaten to collapse into a wall of noise and this wall feels more like  the leading edge of a tsunami rather than a fixed landmark somewhere “over there.” Simply coping with the onslaught consumes our attention and drives too many of us and our organizations into reactive mode. We become driven by events. Planning feels like a luxury and the notion of reflecting seems an unrealistic, academic, dream. Peter Vaill makes a compelling argument that we now live in a world of permanent whitewater and have to learn to operate accordingly.

We have a conundrum then. A changing world demands changed responses, yet the pace of change leaves no time for the reflection needed to transform experience into new practice. What are the elements of a strategy that might even our odds? How do we make reflective practice work in the organizational environment that now exists?

Peter Vaill offers a clue in the title of the book where he talks of permanent whitewater, Learning as a Way of Being. Learning is not something neatly distinguishable from practice; we pursue learning while doing. Elsewhere, I’ve discussed the notion of observable work as a pre-condition for making that kind of learning possible. Then, there are various techniques, such as after action reviews that should be in any knowledge worker’s toolkit.

There is no “secret class.” Even it one existed, it wouldn’t make sense to take it. Instead, we structure experience so that learning is a continuing parallel element of doing the work.

Learning is harder in the digital world

Snowboard lesson Most of us have crappy theories of learning. The better you were at school the more likely your theories about learning are distorted. I ran into this phenomenon while I was the Chief Learning Officer at Diamond Technology Partners in the 1990s. My partners were full of well intentioned advice about how they thought I should do my job based on their school experiences years or decades earlier in their lives. I had my own, somewhat less ill-informed, theories based on my more recent school experiences convincing my thesis committee to let me loose on the world.

Fortunately, I also made the smart decision to go find several people smarter than I was and hung around with them long enough to soak up some useful insight. Two in particular, Alan Kay and Roger Schank, were instrumental in shaking me free from my poor theories. Very different in temperament, they did agree on fundamental insights about how learning worked.

Learning is what happens when our expectations about the world collide with experience. As we adjust our expectations to be better aligned with reality we learn.

Schools are dangerous places for learning because they are too isolated from the real world. On the other hand, the real world can be straight up dangerous if we haven’t learned how to behave correctly in the situation at hand. All learning is learning by doing, whether we’re learning to turn on a snowboard or solve a differential equation. If we had unlimited time and were invulnerable, we could figure anything out on our own. As it is, it helps to have someone who knows more than we do to arrange the experiences we can learn from in a reasonable and safe sequence.

The name for this strategy is “apprenticeship” and remains the most effective from a learner-centered perspective. All other approaches are compromises to make the economics work or to solve scale mismatches between the number of those needing to learn and those with mastery to pass along. Anthropologist Lucy Suchman showed how to extend this notion of apprenticeship to all kinds of learning beyond the trade/craft connotations we attach to the word. She talked of learning and apprenticeship as a process of “legitimate peripheral participation.” You learned how to repair copiers by handing tools to the senior repair technician and carrying their bags. You learned how to handle the cash register by watching someone who already had it figured out. You learned how to put a budget together by doing the junior-level scut work of helping your boss transform a handwritten budget into a typewritten one.

It’s become a cliche that learning has become an ongoing requirement in all kinds of work. The problem isn’t simply that work demands more learning more often. The changing nature of work also makes learning qualitatively harder as well. This was never a problem for physical work and for much of the knowledge work of the 20th century. Nearly everything you might want to observe was in sight. You could watch how a repair technician selected and handled tools. You could see an editor’s corrections and notes in the margins of your manuscript.

As work has evolved to be more abstract and more mediated by technology, the task of learning has gotten harder. Whether we call it apprenticeship or legitimate peripheral participation it becomes difficult, if not impossible, in environments where you can’t see what others are doing. Previously, the learning called for within organizations occurred as a byproduct of doing work. It now takes conscious and deliberate effort to design work so that it is, in fact, learnable.

Technology in the Classroom

There’s a nice piece over at Studypool talking to a dozen “experts” about effective use of technology in the classroom. I put experts in quotes mostly because I was deemed one of those experts. Kidding aside, the end result is a nice overview of productive ways to think about incorporating technology into teaching and learning environments. Better yet, it offers pointers to a diverse group of folks thinking about this problem.

This advice is more broadly relevant when you consider that, as knowledge workers, we are all tasked with learning on an ongoing basis. From that perspective, we need to have more effective strategies to incorporate technology into our learning whether the classroom is in an ivy-covered hall, an office conference room, or somewhere in cyberspace. None of us have the luxury of working in stable environments. We all must operate on the assumption that we need to assimilate new ideas and techniques into our work practices and do so on technology platforms that are also evolving.

Practice and Performance

Cpl. Derek McGee, USMC MEU15 TRAP 2013

How do you strike an effective balance between practice and performance? In many realms we draw a distinction between performing and preparing to perform. Actors and musicians rehearse. Athletes practice. Soldiers train before they fight.

In other, equally demanding, realms the boundary is fuzzy; at times non-existent. Where does a sales rep or project manager practice? Where does a brand manager practice market segmentation? When does an investment banker practice designing a deal?

The notion of an apprentice observing and mimicking a master is one proven model that blends practice and performance. What troubles me is that this model works best when it is explicit. There needs to be some recognition that some performance settings are about both performance and practice; some fraction of your focus and attention needs to be tuned to learning.

My sense is that we have abandoned the notion of practice built into apprenticeship and favor performance exclusively. If we substitute performance only in place of practice and performance, do we abandon the possibility of achieving peak performance? How do we recognize situations that call for effective apprenticeship models? How do we design organizations so that they meet their performance goals and provide the necessary practice opportunities so that tomorrow’s organization can perform as well or better than today’s?

DIY Learning Advice from Jay Cross


JayCross-real-cover.jpgJay Cross is at it once again. He’s launched the Real Learning Project, an exploration of DIY learning in today’s organizational environment. Here’s his description of the effort:

The Real Learning Project helps people who are taking their professional development into their own hands and shows them how to learn to learn.

My new book, Real Learning is for all those people we’ve made responsible for their own learning. This is the missing manual.

Real Learning explains self-assessment, setting goals, dealing with feeds and flows, improving retention, curation, working out loud, social learning, and more. Each technique is backed with a practical exercise.

Real Learning reveals how to:

• Learn from experience

• Take advantage of the latest findings from neuroscience

• Save time by accelerating how you learn

• Remember things faster, better, deeper

• Adopt sound learning practices as lifelong habits

• Form a sustainable, nurturing community

• Use shortcuts, cheatsheets, and rules of thumb

Real Learning is about how to learn for yourself. No classrooms. No instructors. No training department. Little in the way of theory. Just stuff that works.  (Although learning with your team is encouraged,)

The core focus is experiential learning and tacit knowledge. It’s learning to be all you can be rather than amassing more content.

This matters for two reasons. One, DIY learning is something we are all going to have to get better at. Organizations won’t have the time or the resources to invest in time-consuming formal training efforts. But the need to learn new things will only continue to increase. Two, Jay is one of the key people thinking about this problem in organizational contexts.

There are a number of resources to take advantage of with this effort:

The Real Learning Website

The Google Plus Community

• A blog that Jay describes as a Plog—A personal progress blog

I’ve purchased the e-book version of the book in its present beta form and hope to follow along and contribute as it evolves.

Two spaces or one; change and persistence

Selectric-ElementI learned to type before I learned to drive; now nearly 50 years ago. I was taught that you put two spaces after a period at the end of a sentence. Eventually, I left typewriters behind and began to write with text editors and word processors. I learned a little bit about proportional fonts and typesetting and, at some point in the somewhat less distant past switched over to using a single space.

This morning, i came across the following link in my Facebook newsfeed – Space Invaders: Why you should never, ever use two spaces after a period. – posted by Andy McAfee. It’s an old item and it’s an old controversy (for example, see Why two spaces after a period isn’t wrong (or, the lies typographers tell about history)).

What I find interesting about this is what it reveals about change and habits. The very first comment in response to Andy’s post was from someone who had also learned to type a long time ago. In their view, the controversy was a silly waste of time and they intended to happily continue to insert two spaces until the end of time. I’m sure that if I went back to the thread. someone else will have weighed in otherwise. There will be yet another impassioned argument over a convention. How do you get new knowledge into an established system of practice? How do you get from new knowledge to new practice?

We are now three hundred years or so past the Enlightenment. How long do you think it will be before reason triumphs over tradition?


Saving Lives with Systems Thinking – Atul Gawande and the 2014 Reith Lectures

A three-year old drowning victim is alive and thriving today because someone in Switzerland cares about systems. Atul Gawande, surgeon, polymath, and author of The Checklist Manifesto, recounts the tale as the second of four BBC 2014 Reith Lectures on the future of medicine. The podcast of “The Century of the System” is well worth 40 minutes of your time. 

Gawande’s central point is that the power of design, coordination, and collaboration trumps heroics. This is so terribly hard to pull off because it runs against the stories of heroics that so capture our imagination and our egos. How we get to good designs in a world that honors heroes is the challenge. 

Using Moore’s Law in Reverse: Alan Kay on Invention vs. Innovation

I’m an unapologetic fanboy of Alan Kay. This can be problematic given that the average person has no idea who Alan is even though they benefit from his work on a daily basis.

Earlier this year, Alan presented at the Demo 2014 conference, offering his reflections and insights on the relationship between invention and innovation. It’s about 45 minutes in total and well worth the investment of time and attention.

Although Alan doesn’t say so explicitly, he suggests that we have become so enamored of innovation that we are systematically neglecting invention. If you spend time reflecting on Alan’s observations you get real insight into the difference between strategic and tactical thinking.