Tag: project portfolio

  • The Cost of Too Many Projects in Portfolio

    I argued against multitasking a number of times. In fact, not that long ago I argued against it in the context of portfolio management too. Let me have another take on this from a different perspective.

    Let’s talk about how much we pay for introducing too many concurrent initiatives in our portfolios. I won’t differentiate here between product and project portfolios because for the sake of this discussion it doesn’t matter that much.

    Let’s imagine that the same team is involved in four concurrent initiatives. Our gut feel would suggest that this is rather pessimistic assumption, but when we check what organizations do it is typically much worse than that. For the sake of that discussion and to have nice pictures let’s assume that all initiatives are similarly sized and start at the same time. The team’s effort would be distributed roughly like that.

    Portfolio planning

    The white space between the bars representing project work would be cost of multitasking. Jerry Weinberg suggests that for each concurrent task we work on we pay the tax of 20% of the time wasted on context switching. Obviously, in the context of concurrent projects and not concurrent tasks the dynamics will be somewhat different so let me be optimistic with what the cost in such scenario would be.

    If we reorganize the work so that we limit the number of concurrent initiatives to two we’d see slightly different picture.

    Portfolio planning

    Suddenly we finished faster. Where’s the difference? Well, we wasted much less time on context switching. I assumed some time required for transition from one project to another yet still, it shouldn’t be close to what we waste on context switching.

    In fact, we can move it even further than that and limit the work to a single project or product at the same time.

    Portfolio planning

    We improved efficiency even more. That’s the first win, and not the most important one.

    Another thing that happened is we started each project with the exception of the first one in presence of new information. We could have, and should have, learned more about our business so that we are better equipped to run another initiative.

    Not only that. It is likely that technology itself or our understanding of technology advanced over the course of running the first project and thus we will be more effective building another one. These effects stack up with each consecutive project we run.

    Portfolio planning

    The total effect will be further improvement of the total time of building our projects or products. This is the second win.

    Don Reinertsen argues that the longer the project is the longer the budget and schedule overrun. In other words, if we decided to go with all the concurrent initiatives we’d likely to go longer that we assumed.

    In short it means that we do end up doing more work that we would do otherwise. Projects are, in fact, bigger than we initially assumed.

    Portfolio planning

    The rationale for that is that the longer the project lasts the bigger the incentive to cram more stuff into it as the business environment keeps evolving and we realize that we have new market expectations to address.

    Of course there’s also an argument that with bigger initiatives we have more uncertainty so we tend to make bigger mistakes estimating the effort. While I don’t directly refer to estimates here, there’s an amplification effect for scope creep which is driven by overrunning a schedule. When we are late the market doesn’t stand still. To make up for that we add new requirements, which by the way make the project even later so we add even more features, which again hit the schedule…

    A bottom line is that with bigger projects scope creep can get really nasty. With fewer concurrent initiatives and shorter lead times we get the third win.

    Let’s assume that we’ve had deadlines for our projects.

    Portfolio planning

    What happens when we’re late? Well, we pull more people from other teams. Well, maybe there was one guy who said that adding people to the late project makes it later but, come on, who reads such old books?

    Since in this case all our projects are late we’d pull people from another part of an organization. That would make their life more miserable and their project more likely to be late and eventually they will reciprocate taking our people from our future projects in a futile attempt to save theirs. That would introduce more problems in our future projects. No worries, there will be payback time when we steal their people again, right?

    It’s a kind of reinforcement loop that we can avoid with fewer concurrent initiatives. That’s a fourth win.

    Finally, we can focus on economies of delivering our products or projects. A common sense argument would be to bring time to market as an argument in a discussion. Would we prefer shorter or longer time to market? The answer is pretty much obvious.

    To have a meaningful discussion on that we may want to discuss Cost of Delay. How much it costs us to delay each of these projects. It may translate to the situation when we don’t generate revenues or the one when we lose the existing ones. It may translate to the situation when we won’t optimize cost or fail to avoid new costs.

    In either case there’s an economic value of delivering the initiative later. In fact knowing the Cost of Delay will likely change the order of delivering projects. If we assume that the last project had the biggest Cost of Delay, the first the smallest (4 times smaller) and the middle ones the same in the middle of the spectrum (a half) we’ll end up building our stuff in another order.

    Portfolio planning

    The efficiency of using the teams is the same. The economic effect though is vastly different. This is the biggest win of all. Including all other effects we roughly cut down the total delay cost by two thirds.

    The important bit of course is understanding the idea of Cost of Delay. However, this couldn’t have been enabled if we’d kept running everything in parallel. In such a situation everything would be finished at the same time – at the latest possible moment. In fact, if we avoid concurrent work even the ultimately wrong choice of the order of the projects would yield significantly better economic results than building everything at the same time.

    What we look at is a dramatic improvement in the bottom line of the business we run. The effects of limiting a number of concurrent initiatives stack up and reinforce one another.

    Of course, it is not always possible to delay start of specific batch of work or limit the number of concurrent projects to very low number. The point is though that this isn’t a binary choice: all or nothing. It is a scale and typically the closer we can move toward the healthy end of it the bigger the benefits are.

  • Portfolio Kanban and Doing the Right Thing

    There’s an ongoing discussion that I occasionally refresh with Markus Andrezak on usefulness of applying Kanban to manage portfolio and generally to the process of figuring out which products should be built.

    What is Portfolio

    One obvious thing that we can start with is focusing on a specific context. After all portfolio is a pretty loaded word and it is used in all sorts of situations. While my goal isn’t to boil down portfolio discussion to only few available options I see at least three distinctively different cases.

    There are organizations that ore focused on project work. A typical gig they run would be a distinct initiative that is different form all the other initiatives they run. What’s even more important the revenue from that work would be connected to delivering work. This would be a project portfolio case. A classic example would be an offshore web software shop.

    Then we have organizations that, similarly to the previous example, focus on building multiple concurrent and independent initiatives yet they would operate them as products by themselves. In other words they earn money by directly selling their software, or services provided by that software, to the end users. There’s no simple definition when the work is done. This would be a product portfolio case. A classic example would be a game development studio.

    Then there is an alternative version of product portfolio where the whole company is focused on building a single product. In such a case the overarching initiative that everyone contributes to is obvious as there is only a single one. The discussion would happen between either specific goals to achieve or specific big scale functionalities to build. This would frequently be labeled a product portfolio too although for the sake of this discussion I’d go with a feature portfolio label, even if it isn’t precise especially for big organizations. A classic example would be a startup building what they believe is the next world-changing product.

    Of course we can think of a mix of any of these scenarios and rarely only one of them will be pursued by an organization exclusively. What’s more we could go further with a differentiation within these scenarios. We’d see a completely different dynamics of project portfolio in a company that works under time and material terms than from one that build fixed price projects. A very different feature portfolio will be in a startup at an early phase which is still figuring out product-market fit that in an established company focusing on leveraging their user base or staying ahead of competition.

    Where is the Problem

    The discussion about applicability of Portfolio Kanban boils down to defining what is the most painful problem on a portfolio level in a given context. From that perspective there is a clear distinction between project portfolios and the other two scenarios. The difference is in the way revenues are generated.

    In project work the more projects we finish the more revenues we can expect. With product or feature portfolio building software is only an intermediate step in order to generate revenues. In other words we know much more up front about return on investment in project portfolio scenario than we do in other two.

    That doesn’t completely change the bottom line. In each case the choice on endeavors an organization works on is crucial for its long-term health. In each case overcommitment and too much work in progress on portfolio level can decimate the value of any ongoing work, no matter how carefully chosen. There are commonly mentioned reasons for that: long lead times mean long feedback loops and a lot of work in progress results in inefficient work.

    There’s one more dimension that from my experience is at least equally, if not more, important. The constraints provided by work in progress limits change the dynamics of the discussion about starting new stuff, be it projects, products or major features.

    Typically the discussion about economic feasibility of starting a new product or a project happens in isolation. If the ultimate problem that we are trying to solve is choosing the right initiatives to work on it should never happen in isolation. After all most of ideas we come up with make sense… in some context. An interesting question would be whether we are in such a context.

    We may have a bunch of projects that we expect to be profitable. But which of them provide us most monetary and non-monetary value? How starting another one affects the ones that are already ongoing? Given a business hypothesis which we want to validate, which out of all possible experiments would generate most valuable information? Would starting another concurrent experiment obfuscate the outcomes of ongoing ones?

    Of course we can say that each project will provide some value and each experiment will provide some learning opportunities. We don’t have infinite capabilities thus we need to choose.

    Role of Portfolio Kanban

    The way I look at Portfolio Kanban is that is addresses a very common issue of overburden at portfolio level and as a result it drives the discussion about what are the right endeavors to pursue. The latter starts happening when, thanks to WIP limits, we start saying no to new initiatives. What WIP limits create is they underscore available capabilities as a scarce resource. The next step typically is more careful consideration how these capabilities are put in the best use, which ultimately means a discussion about what is the right thing to build.

    Obviously this dynamics is not true in all environments. Startups, especially at the early stages, will likely focus on figuring out what is the right thing to build without any external incentive. Organizations built around a single product, at least to a certain size, will naturally maintain discipline in strategy planning that will provide an answer what are the crucial product goals for them.

    Beyond that it all gets fuzzy. If an organization gets big enough it has capacity to build multiple initiatives concurrently. Each product that grew far enough has a number of potential development paths it can follow and each of them can be promising on its own. If we talk about multiple product organization a temptation to follow a bunch of new goals at the same time is even stronger. And with projects it’s like an everyday issue.

    Of course I don’t say that it’s not possible to start the other way around: nailing down the ultimate purpose, which may mean answering the Spice Girls question, and following up with defining what are the right features, products or projects that serve the purpose. This would likely mean that the number of concurrent initiatives will be limited as majority of activities would be optimized toward pursuing the purpose.

    The problem is few organizations are ready to make this step just like that. And even when they are, there are still a lot of risks along the way. First, depending on how the ultimate goal is defined it doesn’t have to limit the options for what constitutes an attractive endeavor and we’re back to the square one. Second, even if the purpose provides enough focus there’s typically still plenty of options how to pursue the goal and thus overburdening portfolio is still a viable option. Third, and most importantly, in bigger organizations defining a single purpose may be impossible because office politics kicks in or there isn’t enough strategic leadership present.

    In either of these cases as well as in the most common situation where there isn’t enough awareness to even start the discussion about the purpose Portfolio Kanban may serve as a facilitation tool. On the top of efficiency gains, similar to those seen in other applications of Kanban, it would catalyze the discussion about what is the right thing.

    This is, in fact, the most important outcome of introducing Portfolio Kanban that I’ve seen.

    What Portfolio Kanban Is Not

    An argument I’ve heard a couple of times is that Portfolio Kanban doesn’t help to define what is the right thing to build or what is the ultimate purpose. I completely agree with this one. That answer simply isn’t there. Portfolio Kanban, pretty much alike any Kanban application, is a meta method. One shouldn’t expect to get context-specific answers.

    If an organization is ready to look for these answers that’s great. Depending on specific context Lean Startup, Lean UX or other modern product management approaches may be relevant. That’s where awesome guys like Will Evans or Markus Andrezak kicks in with their expertise. That’s where Stephen Bungay’s work will prove invaluable, which Jimdo guys will happily confirm. That’s where Don Reinertsen would provide outstanding guidance for decision making.

    In such cases, usefulness of Portfolio Kanban will indeed be limited. It will be mostly process improvement and efficiency stuff.

    A common case wouldn’t be even remotely as rosy though. That’s why value provided by Portfolio Kanban typically go beyond the process stuff. It would still stop at introducing pressure to start important and difficult discussions. It wouldn’t provide guidance for that conversation. A good thing is that there would be more pressure the more screwed up the situation is. We can expect this catalyzing mechanism to exist continuously till we either solve the problem or give up on limiting work in progress on portfolio level.

    If someone claims that Portfolio Kanban is supposed to provide more than that in terms of defining what is the right thing, well, we may be talking about different things.

  • Portfolio Management: The Search for Value

    I am talking about the cost of multitasking pretty frequently. This discussion gets even more interesting when we are in portfolio management context. Why? It is so because we are dealing with extremes more frequently on that level.

    Cost of Multitasking

    Let’s imagine a situation when a software developer is dealing with three tasks concurrently. We know that it isn’t efficient. It may be based on our knowledge how multitasking affects our work but it may as well be our intuition.

    Now, would we have the same intuition if we changed the context and we were discussing a team working concurrently on three different projects? Interestingly enough, we’d be looking for arguments why in such a context it isn’t that much of a problem. Stuff like: part of the team would work on one project and another part on another project. Sounds familiar, doesn’t it?

    Thing we typically forget about is how team members would interact with each other. They wouldn’t think of themselves as of isolated sub-teams. They will be frequently looking for colleagues’ help thus they will make other people switch projects for a while every now and then. Finally, we have the coordination effort that has to done. Who is working on what, what is the status of everything, etc.

    This gets even worse when the distribution of people across the projects isn’t fixed. Then people would be thrown to one or the other initiative depending on the current situation. Why is it costly? Zeigarnik Effect describes that we, as humans, have intrusive thoughts about stuff that we left unfinished.

    In other words, if I change a project but I haven’t wrapped up my part in the current initiative I will likely be interrupting myself thinking about the old tasks. In fact, I don’t need any external factors to incur the context switching cost to my work.

    There’s more than just efficiency penalty though. The teams that are working on more than one project deliver lower quality results, as Larry Maccherone points in the results of the research run across thousands of agile teams.

    Cluttered Portfolios

    Things get even more interesting when look at the big picture – not a single team but all the teams within one organization. It’s enough to ask two questions. How many teams are there? How many active projects or initiatives are run concurrently?

    The answers with the ratio in a range about 10:1 (ten projects per team on average) aren’t uncommon. It means that our forces are spread very thin, the coordination effort is significant and the frequency of people switching projects is fairly high.

    Another question may be: what is the percentage of people assigned to more than a single project?

    Either way, in some cases we’d find that not only do we have more projects than teams but also we have more projects than people working on them. Some extreme examples I know of would show that there are 4 times more ongoing projects than there are people available to work on these projects.

    How efficient is that?

    No reasonable person would do such a thing on purpose. Yet, this is happening pretty often.

    Project Attractiveness

    If we assume the goodwill of people managing project or product portfolio, there must be something wrong with the approach we typically use to manage the portfolio. Let’s think for a while data we use to inform our decisions on starting new initiatives.

    Obviously we know the client and, at least roughly, the scope of the project. On that basis we come up with the idea how much the project would cost and what revenue we can get out of it. How do we do this? Well, we estimate.

    One problem is that, as Daniel Kahneman points, we are biased toward the most optimistic scenarios. Another one is when we do these estimates. Johanna Rothman phrases it:

    If you fall for estimation as your way of valuing projects in the portfolio, you are doomed to fail. Why? Because you are trying to predict the cost or the date when you know the least about the project.

    Typically, we base on insufficient data and use our flawed estimation skills to come up with the measures that are supposed to help us assess value of projects. That doesn’t sound like an extremely useful approach if you ask me.

    The problem is that pretty frequently that’s all we have in our toolboxes: an unreliable total cost estimate and expected income based on that very estimate. If we are really lucky we can say a bit about high-level risks too. However, if nothing else is in place the only application of risks assessment on this stage would be tweaking the income expectations so it includes potential screw ups.

    All in all we end up looking at projects through attractiveness glasses. It’s all about how much profit we can potentially earn doing this or that project. Given that we model income on expected total cost almost all of the projects will look reasonably profitable, thus all of them will be considered attractive.

    There’s a pattern our brain follows, called What You See Is All There Is (WYSIATI). It basically says that whenever we are judging something we take into consideration only evidence that we have at hand and omit data that we could potentially gather to inform our decisions better. In other words, if what we see is cost and profit we won’t automatically be looking for other data points that can tell us something about value of the project. We will just do our judgment on information we have at hand.

    If we put WYSIATI on the top of our limited and unreliable data almost every initiative would look appealing. It is no surprise that we end up with heavily overloaded portfolios.

    Where Value Is

    The question we should be addressing is not the one about expected profit, but about expected value. The problem is that the latter is more difficult to answer. On different occasions, during my presentations, I’ve had a chance to ask audiences whether they know what the value of features they build for their clients is. Few people do.

    We simply don’t think about our products and projects in such terms. Even when we do though, it solves only a part of the puzzle. One oversimplification I often notice is that we boil down the discussion about value to the users or clients only. The problem is that both parties will define value differently. Let me give you an example.

    At Lunar Logic we build web applications for our clients. We can build a product for a client that delivers valuable features in a predictable fashion. We can even help the client shape the product so we avoid the non-value adding functionality. The client would be happy – they’d got what they define as value. At the same time though, the client may simply be a toxic person who would make the team’s life miserable. Now, on our end, depending on a situation, it means that overall value of such a project may as well be negative: we would have gotten the money (one aspect of value) but lose a part of the team (another aspect of value). It is likely that the former wouldn’t compensate for the latter.

    I don’t have all the answers for the questions about value. The cases when I’d disagree with how our clients define value aren’t rare. On my end, while I can say what we value as the company, sometimes it is very difficult to assess value for initiatives we undertake. It’s not as bad as it looks though.

    We don’t need to define value in absolute numbers. If the goal is to improve the way manage portfolio most of the time we will need to answer only relative questions, e.g. which project is more valuable given the criteria that are important in a given context?

    In fact, the most valuable outcome of the discussion will not be the exact assessment. It will be a discussion itself as it will likely cover the areas we typically ignore, thus will yield in the better understanding of the situation.

    It won’t happen though unless we understand the limitations of our decision-making process on a portfolio level. Otherwise we will keep doing even more of the same thing make our teams even more inefficient and miserable.

  • Multitasking Teams

    There’s one question I ask pretty frequently during my presentations or trainings: do you think that context switching comes for free? I’m yet to see a single hand up after the question.

    Not that I believe that this is universally accepted point of view. In fact, there is a follow-up question which is: who has a boss who thinks that context switching comes for free? I do get positives for the latter.

    I’d also assume that some people, even if they believe in free context switching simply wouldn’t raise their hands. Peer pressure, you know.

    I’m happy with the assumption that awareness of costliness of context switching isn’t ubiquitous and definitely there are different assessments of how costly it is exactly. Still, I’d say that basic understanding that we pay a context switching tax is pretty common.

    Context Switching Cost

    After all, it oh so obvious to predict how texting on the mobile while walking through a crowded street is going to end. Or playing Angry Birds while driving. Or driving, having a call, lighting a cigarette, overtaking another car and shifting gears, all at the same time (a true story; I’m glad that the passengers made it alive).

    It gets a bit less obvious when it comes to our workplaces. On occasions you’d hear things like “do it in the meantime” or “can’t you work on both of these things concurrently?” (Sure, I can. As long as you want both of them to be late, that is.)

    The real fun starts on yet another level though. Concurrent projects. When we aren’t discussing individuals but teams and not atomic tasks but projects, suddenly the assumptions that concurrent work on them doesn’t hurt becomes surprisingly common.

    The reasoning is that one team member will be working on one project and another team member on the other project. I’m always astonished that this thinking pattern is there even when there are more projects than team members… Anyway, let’s assume the situation is not that dramatically bad.

    There is still a problem of multitasking on a few different levels. First, there’s planning and coordination. Who should do what for how long? Even if team members typically do have comfort of being able to focus on a single thing there are people on the team who constantly switch context between all the projects that are run.

    Then, there’s regular communication. Typically ad-hoc communication can be a distraction. We willing pay the price for the distractions because we get value of those discussions. They are relevant for people because they touch the matter of the project they run. Well, as long as it is about the project they run. That isn’t necessarily true if a team run a few projects.

    Finally, there are situations when people would change the context of the project even if we don’t plan they would. What happens when someone is stuck? They’d ask for help. Whom? The person who is likely to help them. Does it mean only people from the same project? Not really.

    Obviously we’d get some of that even if a team works on a single endeavor, but such cross-team interactions are usually way less frequent, thus way less costly, than those within the team.

    This is sort of a gray area that is often forgotten even in organizations that are aware of the cost of multitasking. This is one of the reasons why visualization of project portfolio is so important. Each case where a team is coping with a few different projects or products at the same time should at least spring a discussion, as this is an obvious inefficiency.

    Multitasking on a team level is no less painful than on any other.

  • Options, Options, Options

    I think the first time I’ve heard that we should consider that a project backlog is simply a set of (unexercised) options it’s been from Ellen Gottesdiener It took me some time though to translate this, otherwise attractive, concept to something more down-to-earth in my own context. The catalyst in this case was one of Kanban Leadership Retreat sessions that covered portfolio management.

    Let’s imagine a company working on multiple projects. The organization size may vary, but let’s make it at least a couple hundred people strong. Such a company would have a bunch of project in progress but will also continuously work on selling more work to keep the business running.

    Every now and then, one of ongoing projects will get finished. What typically happens then is the company has some free capabilities. At the same time sales department is busy closing the deals. If the organization is extremely lucky and we are living in a fairy tale the pace of project completion will be exactly equal to the pace of new project arrivals.

    I have bad news though. We don’t live in a fairly tell. It’s even worse – most of the time we are not extremely lucky either.

    What typically happens is one of two things: there either are some free capabilities and no work that can fill this gap or the opposite – there is more work that should be started than can be handled with available capabilities. In fact, the situation dynamically changes from one to the other and back again.

    I want to focus here on a scenario with more incoming work that can naturally be absorbed by the org.

    One, sadly very common, approach is taking whatever comes from sales funnel and then pushing hard to make it fit, no matter what available capabilities are. Guess what – wishful thinking that people would handle more concurrent work doesn’t work at all. Conversely it only makes the problem worse as it forces teams to multitask which never comes for free.

    We can do better, can’t we?

    The opposite approach would be taking available capabilities into account and committing only to whatever the organization can handle. In other words it means saying no to some of available projects.

    It is like treating every incoming project not as a commitment by default but as an option. Well, it seems we have options again.

    So let’s picture our portfolio backlog as a bunch of options.

    Options

    Now, what happens when we start a project? Let’s keep it consistent with the Ellen’s concept. We fill the project backlog with a number of options. Except this time the options are more fine-grained. We may build these features or those features. Well, odds are we will build them all eventually, but the order is kind of important here.

    By the way, I’m yet to see a project where the scope doesn’t change. This basically means that every time we decide to build a feature we exercise an option of building this very feature while keeping the options of building other features still open.

    The option backlog will get replenished on occasions while we discover more and more details of the project. It will live and evolve the same way as our portfolio option backlog is alive and changing.

    The interesting part here is that commitment on one level (launching a project) springs a bunch of new options on another level (features or stories).

    Options

    In fact we can take this model even further. Once we as a team commit to build a feature we generate a bunch of options to build the feature in this or that way. We have an option to write tests. We have an option to write tests before the code. We have an option to write acceptance tests. We have an option to review code and so on. At the same we also have options to implement the feature in a few different ways functionality-wise. Some of them will be mutually exclusive, some of them won’t.

    Basically, starting work on a feature springs a handful of options on yet another level of granularity.

    Options

    If you imagine that building stuff in the company is happening on a few different levels – each of them dealing with more fine-grained stuff – this model will work throughout the board. Commitment on a higher level generates options on a lower level.

    In fact, you can take the model way beyond the three levels I proposed here. For organizations that deal with product lines, programs and stuff it will be the same. There always is a commitment to more high-level stuff before we choose how to do low-level items. There simply will be more layers to take into account.

    That’s why considering backlog as a set of options seems so attractive to me. It’s not only about a project or an iteration backlog. It’s about any backlog on any organizational level.

    What’s more, having the Real Options theory at hand we may use the model to manage the stuff we build wiser. Again, it doesn’t matter whether we think about managing portfolio, prioritizing features or deciding on implementation details.

    “Don’t commit early unless you know why” may as well apply to launching a new project or getting more work in progress than we really need to have. And knowing why should include understanding of all the costs attached. The bit that is too often forgotten.

  • Portfolio Visualization

    I’ve been lucky enough that throughout my career I’ve had occasions to work on different levels: from personal (that’s pretty much everyone’s experience, isn’t it?), though team and project to program / PMO / portfolio level. Not only that. In most of my jobs I’ve been involved in all levels of work concurrently. This means I’m schizophrenic.

    Um, actually this means that I’ve been pursuing goals that require focusing on different granularity of work.

    Granularity of Work

    Let me give you an example from my company – Lunar Logic. If I have to complete a task to close a new deal for the company, e.g. to have a call with a potential client, that’s a personal level. It is something that has to be done by myself and it involves only my work. Most of such stuff would be rather straightforward.

    At the same time I run a project where I’m supposed to know what’s happening and for example share my estimates when the work is supposed to be finished with the client. That’s a different kind of work. I mean it’s not only me anymore – there’s a team. Also there are a lot of dependencies. Unless bugs are fixed we don’t ask a client for acceptance, this task has to be finished before the other, etc. Of course, tasks will be bigger – we don’t want to run 30-minute long tasks through our task or Kanban board. At least not as default.

    Then there is whole effort of coordinating different projects run in the company. It is about understanding which are about to be finished making people available to work on something new, how we can cover for unexpected tasks, what kind of free capabilities we have, etc. At this level a user story or a feature is meaningless. We’re talking about big stuff here, like a project here and a project there.

    Depending on what I do I may be interested in small personal tasks, user stories or whole projects.

    Actually, there may be more than just three levels of stuff. It is a pretty frequent case. Imagine an org that employs a few thousand people. They will have teams, divisions, projects, programs and product lines. On any level beyond personal there will be a few different granularities of work.

    There may be a user story as the smallest bit of work that a team gets done. It would be a part of an epic. The epic would be a part of one of these huge thingies – let’s call them saga stories. Sagas would build up a project. A set of projects would make a program. The program will be developed within a product line… Complicated, isn’t it? Well, I guess it’s still far from what Microsoft or Oracle has.

    Focus

    Now, the interesting part. On every level leaders are likely to be interested in understanding of what’s going on. They will want to visualize stuff that’s happening. Wait, what that “stuff” is exactly? I mean, haven’t I mentioned at the beginning that work items that interest me may be very different?

    Um, yes. However, in each context, and at any given moment, there’s only one granularity of work that will get my attention. When I wear a hat of a company leader I don’t give a damn about a user story in a project XYZ. I just want to know whether that project is progressing well, what are the major risks attached to it and how it can impact other projects and our available capabilities.

    When I go down to wear a hat of a project leader, I’m no longer interested in timelines of other projects. I have project tasks to be finished and this is my focus. Scope of risk management would be limited to only a single project too. This means that I will be paying attention to a different class of risks.

    Then I go even further down to wear a hat of a leader of my own desk (not even a real one) and granularity of stuff changes once more.

    Good news is that vast majority of people don’t have this switching dilemma – since they’re always working on the same class of stuff there’s always the same level of work that they pay attention to. Always a single level.

    Well, almost…

    Second Level

    One level of stuff will always be a primary focus. In many cases there will be a secondary focus as well. It will be either one level up or one level down. For example, when I was a team leader my primary focus was the features we were building. However, on occasions I was going down to development tasks and bugs to understand better the progress we were making. Not that I needed the view on all the development tasks and all the bugs all the time – it would make information cluttered and less accessible. Sometimes I needed that data though.

    Another example. In my previous job I led more than a dozen development teams. Obviously user stories or features were far beyond my focus. My primary area of interest was projects on PMO level. I was expected to juggle projects and teams so we build everything on time, on budget and on scope (yeah, right). Anyway, the atomic unit of work for me was a project. Occasionally I was going a level up though, to program management if you will. After all, we weren’t building random projects. Teams had business knowledge specialization. I had to take it all into account when planning work.

    You can think of any role out there and it’s very likely that this pattern will be true: main focus of one level of work and possibly secondary focus on work that is either happening a level up or a level down. The secondary focus is likely to be sometimes on but sometimes off as well.

    Why is this so important?

    Visualizing Work

    My work around Portfolio Kanban and discussion on the topic made me thinking of what we should be visualizing. Of course it is contextual. But then, again, in any given context there is this temptation to see more. After all, given that we visualize what’s happening with the projects, it’s not that hard to visualize the status of the epics within these projects. And of course we definitely want to see what’s happening on program level too…

    No, we don’t.

    Again, in any given role (or hat) you have only one primary area of interest. If these are projects, focus on them and not on programs or epics.

    Otherwise the important bits of data will be flooded in all the rest of information that is needed only incidentally, if ever.

    Portfolio Visualization

    For whatever reasons we get that intuitively most of the when we manage work on a team level. I rarely see task or Kanban boards that attempt to map the whole universe (and more). Maybe it is because we typically have some sort of common understanding what an atomic task on a team level is.

    At the same time we go on a project level and things get ugly. I mean, what is a project anyway? For one person it will be a Minimal Viable Product (MVP), which is smallest increment that allows verification of a product hypothesis and enables learning. For the other it would be defined by a monolithic scope that is worth 200 man months of work. And anything in between of course.

    Unless we remember the rule of focusing on only one level of work, any meaningful visualization of that work would be impossible. This is one of the reasons why visualization in Portfolio Kanban is so tricky.

    Instead of creating one huge wall of information and throw all the different bits of data there, think about your primary focus and deal only with this. And if you keep switching between different roles no one forces you to stick to a single board.

    Right now I’m using portfolio board, personal one and a bunch of different project boards. For each of them, there is just one level of work visualized. So far I never needed to combine any two of them or put stuff from one at the other. It seems that even for such a schizophrenic guy as me the single focus rule applies as well.

  • Kanban Leadership Retreat: Portfolio Kanban

    This year’s Kanban Leadership Retreat (KLRAT), as always, was awesome. In fact, despite sharing some critical feedback during retro session at the very end of the event, I still consider it the best event of the year, hands down. This year I’ve come back home with the biggest homework ever: experiments to try out, ideas to play with, concepts to write down, etc. It means that coming back next year is a no-brainer to me.

    One area that you’ll hear a lot about here is Portfolio Kanban. And this was also the subject of my session at the retreat.

    The Goal

    One of my goals for KLRAT this year was pushing forward the discussion on Portfolio Kanban. Answering questions like: what are the boundaries of the method? What are the gaps we still need to cover to make Portfolio Kanban thorough? How the implementations on portfolio level are aligned with the method as we know it?

    During the session I wanted to talk about all these things. My expectation wasn’t to rule out all the doubts. I assumed that the outcome would include some answers as well as some new questions but overall would bring us to better understanding what Portfolio Kanban is.

    The Hypothesis

    I hypothesized that Kanban method with its principles and practices define well the approach we can use on portfolio level. In other words that we don’t need any other definition for Portfolio Kanban than the one we already have for Kanban. This is where we started.

    The Process

    I didn’t want to start with the Kanban definition and look for its possible applications (we would find those, wouldn’t we?). I asked participants for a brain dump practices, actions and techniques that we use manage portfolio. Then we sorted them into six buckets of Kanban practices. For example portfolio overview would be covered by visualization so it went to the visualize bucket, limiting number of ongoing projects would obviously go to the limit WIP bucket, etc.

    Of course there were odd balls too. These went to the side as another group. Actually, this one was the most interesting one for me as they pointed us to possible gaps.

    Everyone had a chance to briefly explain what they put on the wall and why it went to a specific bucket. Then we used the remaining time to discuss the challenges we see – which questions weren’t addressed and need further work.

    The Outcomes

    There are a few lessons learned from the exercise. I think the most important bit is that the hypothesis was confirmed. I am convinced that using constraints of Kanban method we can neatly define Portfolio Kanban.

    Of course the specific techniques will be different. Interpretation of practices will vary too. But the same is true with team level Kanban applications in different contexts.

    Things get more interesting once we go deeper into the details. Let’s look at the wall which is the documentation of the session (click for a larger version).

    KLRAT Portfolio KanbanKLRAT Portfolio KanbanKLRAT Portfolio Kanban

    After a glimpse you can see that one bucket is almost empty. Surprisingly enough is the improvement / evolution bucket. Does it mean that we don’t see a match between Kanban method and portfolio management in this aspect? Personally, I think that it would be too quick to draw such conclusions.

    An observation made by Klaus Leopold was that quite a bunch of the stickies on the wall that could be placed not only in their original place but also in the improvement / evolution bucket. That’s obviously true. But then I can’t help but thinking that if we were doing the very same exercise with Kanban on team or service level the end result would look different.

    I think that the answer is that evolution on a portfolio level involves different behaviors and different tools than on a team level. How exactly? Well, this is one of these loose strings we have after the session, so I don’t have an answer for this. Yet.

    Finally, pretty obvious outcome of the session is the list of the challenges we will have to address (or explicitly leave unaddressed) to finalize definition of Portfolio Kanban

    KLRAT Portfolio Kanban Challenges

    Although we aren’t there yet in terms of defining what Portfolio Kanban is going to be, we made a big step forward. And this was exactly what I wanted to achieve. I didn’t want more divergence as I believe we’ve had enough of that so far. I didn’t expect more convergence either. Not just yet. Also I think that the time at KLRAT is just too scarce to spend it discussing the exact definition.

    And that is how the end result of our work looked like.

    KLRAT Portfolio Kanban

    All in all there are going to be follow-up steps – those that will bring convergence. If you are interested in further work on the subject stay tuned.

  • Portfolio Kanban: Why Should I Care?

    It’s an interesting observation for me: people keep asking me to speak about Portfolio Kanban. London, Krakow, Chicago… it seems that for me Portfolio Kanban is going to be the topic to speak about this year.

    When I started with Portfolio Kanban it was an experiment – a tool I wanted to play with to see whether it is useful at all. When you start speaking publicly about such things though, there is one important question you have to answer: why should anyone care?

    After all, unless the question is answered Portfolio Kanban is just a toy.

    So… why?

    When I look at work that is happening in lean and agile communities I see a lot happening on a team level. Scrum is a framework designed for a team level. When you look at Kanban implementations, vast majority of them are on the same level too. Now, should we be worried? Is it wrong? No! It’s perfectly OK. Well, sort of.

    Let me start with this:

    A system of local optima is not an optimal system at all; it is a very suboptimal system

    Eli Goldratt

    Focusing on a team level and a team level only we are optimizing parts as rarely a single team is a whole. I’m far from the orthodox view that we should focus on optimizing the whole and the whole only, as most of us don’t have enough influence to work on such a level.

    It doesn’t mean though that we should cease any responsibility for optimizing the whole system, no matter what sphere of influence we have.

    This is basically why improvements on a portfolio level are so crucial. They don’t have to be done instead of improvements of a team level or prior to them. In fact, a holistic approach is probably the best option.

    If you aim your efforts on a team level only you likely become more efficient, but the question is: efficient at building what?

    Processing the waste more effectively is cheaper, neater, faster waste.

    Stephen Parry

    If the wrong decisions are made on a portfolio level, efficiency on a team level doesn’t really help. What’s more, it can even be harmful because we just produce waste more efficiently. I can think about a number of wasteful activities imposed on teams on a portfolio level, but two are the biggest pains in the neck.

    One is starting projects or products that shouldn’t be started at all in the first place. There is dumb notion that people shouldn’t be idle, so whenever individuals or teams have some spare time it is tightly filled with all sorts of crazy ideas that simply aim at keeping people 100% utilized. That’s just plain stupid.

    Usually, even when people are busy, they get this kind of work anyway, as “they will cope with that somehow.” After some time not only do we run lots of projects or initiatives of questionable value but we have to spend additional effort to finish and maintain them.

    Another pain point is multitasking. All these filler projects are obviously of lower priority than regular work. So what people end up with is they keep switching between projects whenever higher priority tasks calls. The problem is that a context switch between two projects is even more painful than a context switch between two similar tasks within the same general context. Oh, and have I already mentioned that once you’ve finished those filler projects you keep switching back to them to do maintenance?

    So basically what you get is very low value work at cost of huge context switching tax. Congratulations!

    Oh, is it that bad? It’s even worse.

    If you are doing the wrong thing you can’t learn, you will only be trying to do the wrong thing righter.

    John Seddon

    If the organization starts all the fires on a portfolio level, teams end up trying to cope with that mess. If they care, they will make the wrong thing a bit better. Does it help? Not at all. The sad thing is realization what could have been happening instead, which is basically learning.

    The organization could have been learning what work really adds value. The teams could have been learning how to work better. On all levels there would have been opportunities to improve thanks to occasional slack time.

    And, by the way, the organization would have been operating more efficiently too, thanks to less context switching.

    This is basically why you should focus more on organizing your project / product portfolio.

    Why Kanban in this application then?

    I guess I already gave the answer between lines. Visualization, as always, enables harvesting low-hanging fruits. I mean, unless we see how screwed up we are, we often don’t even realize the fact. Visualization also helps to substitute everyday project-related wild-ass guesses with everyday project-related informed decisions. Sounds better, doesn’t it?

    Then there are WIP limits that enable conversations about what projects get started, how we staff the teams and how we react in all sorts of special case situations. In fact, without that bit changes introduced by Portfolio Kanban will be rather shallow.

    Finally, if you are aiming for improvements, Portfolio Kanban gives you a change mechanism that is very similar to what you know from team level Kanban implementations.

    The best part though, is how easily you can start your journey with Portfolio Kanban. Even though it tackles the part of the organization that is usually highly formalized and full of politics, Portfolio Kanban doesn’t require, at least at the beginning, to have everyone signed up for the idea. A single person can use Portfolio Kanban as a disruptive weapon and see what it brings.

    Seriously, it’s enough to have only one person willing to work consistently on Portfolio Kanban board to see the first yield of the improvements. And one doesn’t have to wait very long until the first meaningful discussions around projects start. Then you know something has already changed.

    Even when no one really realized you used Kanban to achieve that.

    If you liked the article you may like my Portfolio Kanban Story too.

  • The Project Portfolio Kanban Story: Why Standard Board Design Is Not a Good Choice

    When I was starting my journey with Kanban on project portfolio level I based on a classic board design I knew from my work with Kanban within project teams. I basically tried to map value stream to the board but on a different level.

    The effect was sort of predictable.

    Portfolio Kanban Board 2

    It was also naive.

    The basic strength of such design is it’s very intuitive. Well, at least for these parts of the world that read from left to right. The same way we read the board: whatever is closer to the right edge of the board is closer to completion. The value stream we map may be a bit simplified (as me make it linear) but then it isn’t that much of a problem – after all index cards are flowing through the board pretty smoothly.

    Unless you put on single index cards “tasks” that last a year or more, which is exactly what I have done.

    When you’re looking at very long lasting projects you look for different information than in case of several hour long tasks. It isn’t that important how an index card is flowing through the board. After all you expect it to sit in one place for months. If you find out that the status of the index card has changed a few days late it likely isn’t a problem at all.

    It is way more important, and interesting at the same time, to see teams’ capabilities in terms of undertaking new projects, i.e. how much more we can commit to our clients. Note: we aren’t talking about a single team of 7 (plus or minus 2). What we have here is 100+ people working on a couple dozen different projects concurrently. At this level capabilities are pretty damn difficult to estimate, especially given ever-changing business surroundings.

    This is a huge weakness of the common board design: it doesn’t really help you with estimating free capabilities. It would help if we were able to set reasonable WIP limits on such board. Unfortunately, it is (close to) impossible.

    A number of projects isn’t a good candidate to measure WIP, as projects differ in size hugely. If you use time-boxing you could try using a number of time-boxes as a measure. However in this case you don’t want to have a random team working on thirteenth iteration of a project that was build so far by the other team. With WIP limits measured by the number of iterations you would likely end up this way. Another idea was using money-related measures. This brings a question whether you sell all your work for the same prices. I guess that is true in very few cases and definitely mine is not one of them.

    The longer I thought about it the more often I was coming back to people. I mean a team could start another project if they had some free people who could deal with it in planned/expected time frame. I even thought for a moment of setting base WIP limit around 130 (roughly a number of people working on projects represented on the board) and having each index card to weigh as much as there were people involved in a project at the time. The problem was the hassle needed to manage such board would be horrifying.

    On the other hand measuring WIP in number of teams was way too coarse-grained as we had anything from multiple projects covered by a single team to multiple teams working on a single project.

    All in all I ended up with a belief that, in terms of project portfolio Kanban, standard board design isn’t a good choice. I was ready to redesign the board completely.

    If I piqued your interest read the whole project portfolio Kanban story.

  • The Project Portfolio Kanban Story: First Changes

    Those of you who remember my Kanban Story probably remember how important experimentation mindset was for me since the beginning of my journey with the method. On project portfolio level the only difference was that I was well aware that such attitude is crucial even before I started doing anything at all. In other words I planned to adopt such attitude.

    With this kind of approach you should expect changes in the process and, as a result, changes on Kanban board as well.

    OK, let’s start with what I had on the day one:

    What was wrong with it?

    Well, maybe not really wrong, but it soon appeared I needed more information from the board than I’d already had.

    First thing, which became clear and actually could have been predicted, was that throwing all future projects into a single “planned” bucket was an oversimplification. Actually a planned project was pretty much any project which wasn’t yet signed, meaning that there were still many bad things which could potentially happen before we were 100% sure we would be doing it.

    Soon enough I had two groups of planned projects: these which were still expected to be built in near future and those which were in doubt for whatever reasons. Once I realized it I just added another column to the board. Since it was very unlikely that a project “in doubt” would automatically go into development and most probably it would go back to “planned” stage before, I added the column on the very left and index cards could freely go between “planned” and “in doubt” back and forth as I was learning new facts on the projects.

    Second problem was related with general status of projects. As I needed to pay more attention to challenged projects than to these which were doing perfectly fine this information was crucial to have it at hand. I decided to go with a simple green-yellow-red statuses, meaning respectively that project was going as planned, wasn’t going as planned but changes could be absorbed by project team or agreed upon with clients or wasn’t going as planned and unless something was done we were likely to fail.

    Technically I just grabbed a bunch of color magnets and attached them to all projects in “ongoing” phase. I was changing magnets to different colors whenever a project changed its status according to above definitions. Once I clearly saw which projects are at risk, and I saw that a dozen or more times a day, I could easily ask for more information on a project, look for risk reduction actions, set a higher priority to a project or whatever I felt could help to bring it back to the right track.

    After changes the board slightly changed:

    Portfolio Kanban Board 2

    However that wasn’t all. Third issue I was facing was that I couldn’t tell looking at the board when we were expected to deliver a project. It was super-important information as without knowing the dates it was hard to say whether project was going according to the plan or not. After all without dates I could hardly say I even knew the plan. It was also very difficult to plan future projects as I couldn’t really tell when this or the other team would be free.

    And this is why my index cards started evolving as well. At the very beginning an index card for a project was very simple:

    As process described on the board wouldn’t tell me anything about dates I decided to add this information to index cards. I wrote any key dates we knew for a project. It could be stage deadlines if we had multiple stage deliveries or deadlines for delivery, user acceptance testing and project closure, etc.

    Then, as you may easily guess, these dates started changing, either in controlled or uncontrolled manner. Either way I ended up crossing out the old dates and adding new ones. Despite the fact that index cards started looking a bit cluttered I realized that the fact that dates had changed was important to me as well so decided to keep it this way.

    And then I had all the discussions on budgets. I mean one thing is to deliver on time, another one is to keep a project within budget. So yes, I was having these budget-related chats pretty regularly. Of course I could refer to budgeting application, but then I wanted to work on the data which is up to date. This disqualified the budgeting app as sometimes we had old data there. What more, there was a number of different reasons why we had it this way, be it anything from preserving initial budget estimates to bug in the system.

    Anyway, I ended up writing budgets on index cards. And again, whenever budget was changing I was crossing the old number out and adding a new one.

    A new index card looked like this:

    Besides the initial information, which was project name and team or teams working on a project, I had project status and a sort of notebook for important facts regarding the project (dates, budgets). Why do I say that it was a notebook? Well, after some time handful of index cards looked not-that-clean:

    Anyway, I had the information I needed.

    Of course all these improvements didn’t happen in a single day. It was more of a constant process of small adjustments and tweaks spread over a longer time span.

    There’s also one approach I used, which you may find useful. When I was adding dates or budgets to index notes, I didn’t checked them for each and every project which was on the board already. I just set the policy that each new index note which makes it to “ongoing” column had to have the data filled. In terms of projects which were already in development I was adding this information slowly over time, usually whenever I was discussing the very project and somehow dates or budget became important in the conversation.

    It meant that eventually I’d have had complete information either because I gradually updated all the index cards in “ongoing” column or because projects were finished and the cards were moved to “maintenance.”

    After all these evolutionary changes I was still kind of unhappy with the board. I still didn’t feel I had any explicit limits and, what even worse, I didn’t see any simple method to add them. I also noted that sometimes I found it hard to keep all the information updated, as the board was still fully owned and managed by myself. However I decided not to go with it to the outside world unless I was sure it was going to work.

    So no, that’s not the end of the story. However, I encourage you to read it from the beginning.

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