Excitement Based Decision Making

The last two posts on the blog have got me thinking about ways the we can utilize ourselves as part of complex systems that we work in to help make decisions and avoid analysis paralysis.  One of these decision making techniques that I use a lot is something I like to call excitement based decision making.

A few weeks ago when we explored Analysis Paralysis, we said that one way to overcome the challenge of having many options to move forward with, especially when we could only pick a small number, is to make some assumptions about a small number of options, follow through with these options and learn if our assumptions were right.  But that’s kind of bland and technical.  Where’s the fun?  With excitement based decision making, when presented with a whole bunch of options to move forward with, we ask ourselves which one of these options is the most exciting to me, write down a few assumptions on why its exciting and move forward with those.

Like we talked about last week, if you use your own excitement and energy to help make decisions through complexity than you’re using the fact that you’re part of the system as an advantage to take action.  If an option is exciting to you, then there’s something about that option that draws you towards it, whether that’s conscious or unconscious.  Maybe it’s playing to one of your strengths.   Maybe it’s similar to an experience you had in the past that worked out well.  Or maybe its just looks like a lot of fun!  But whatever it is, if you’re excited by the option your going to pursue it with a lot more personal energy than an option that seems kind of bland.  You’re going to enjoy working on it which helps keep you motivated to keep moving forward and learning from it.  You’ll want to dive right into the activities, investing a lot of you’re own time in them, and end up being able to stay super-productive and work quicker than if you weren’t excited by it.

Being excited by actions in a complex systems can be a real catalyst for change.  It let’s the system play match-maker to find the actions forward that really speak to you and by drawing on your energy from being a part of the system.  It also makes working in complexity a lot of fun and let’s you be tremendously motivated to create change and be extra proud of the change you create!  So next time you’re faced with an analysis paralysis situation, ask yourself “which one of these options is the most exciting for me?”

Individuals and Complexity

We’re back after a quick week off last week for EWB chapter visits.  But there was a great comment by Laura on our last post last looking at the role of individuals in complex systems and it really got me thinking about it this week.  But as luck would have it in the complex system that we live in, one of our readers, Andrew Young, forwarded me an article that appeared in this months Harvard Business Review exploring just that topic.

The article, entitled When Individuals Don’t Matter, looks at the role of individuals and collectives within complex systems.  Since a single person can never totally model the system, they can never be seen as being the only leverage point for change within it.  In complexity, individuals are part of the system, and it is through distributed actions that, action from multiple aspects of the system, that complex systems change.  The article gives a good summary of some of the issues with complexity that we’ve discussed here already, and provides some cool insights into topics we have yet to explore.

You can check it out at http://hbr.harvardbusiness.org/2009/10/when-individuals-dont-matter/ar/1 and add your thoughts about it to the comments.  Do you agree with the article or disagree?  What do you think the role of an individual is in a complex system?  How can committed individuals try and change complex systems if they are unhappy with the way they are progressing?

Analysis Paralysis

When we’re creating change projects, we always want to be able to capitalize on innovative ideas and cool opportunities. In fact, if we have many opportunities available to us, that usually means we’re on a good path. But what happens when we have two many opportunities and we can’t capitalize on each and every one?  What happens if we have too many innovative ideas where each one looks just as good as the rest?

The answer is: usually nothing …  and that’s the problem.  Usually when we’re faced with having too many potential directions forward we stall and we get stuck trying to identify which is the best one to pick. With the information we have at the time, all our options look good and they all seem like they will take us somewhere we want to go. We know we have to pick a few but the problem becomes we don’t know how, so we spend all our time thinking about how and no time bringing any of these options to action.

That’s analysis paralysis, we’re stuck in this loop analyzing all of our options trying to find which one is better when chances are we can’t with all the information that we have. That’s one of the traps of working with complex problems: information can be limited during the times we need to make decisions, which holds up our decisions. Remember, one of the characteristics of complexity is that we can’t model or know the whole systems or context, so information will always be limited. We’re sitting around waiting for a new piece of information to come and tell us what to do, when in all likelihood it’s not coming.

So how do we get around this problem. Making good assumptions, like we talked about last week, is one way. Assumptions can let us take a guess on that extra piece of information needed to break out of our analysis paralysis, and if it seems plausible and we record what the assumption is, then we can check back to see if we were right. We have to be careful though that we’ve been diligent to have done enough our homework so we don’t take unthoughtful actions. But as long as we’re sure we’re not repeating an old mistake, we’re usually good to act.

The trick with analysis paralysis is that recognizing that sometimes you can’t think your way through a problem. Sometimes you’ll have to take a risk and make a good assumption on what course of action is the best. The key to managing complexity is being able to move to action through the ambiguity it provides. That’s why analysis paralysis is not our friend to creating impact in complex environments.

Productive Assumptions

Over the past couple weeks, we’ve taken an initial stab at trying to understand, at least at a surface level, the concepts of complexity and change.  We looked at how complexity is dynamic and how it’s nearly impossible to completely understand a complex situation while you’re working in it.  We also looked at how change is constant but incredibly hard to predict where it will strike next and what form it will take.  But what we haven’t spoken about yet is what we can do about any of this if we want to be change makers in complex situations.

The key is in making good assumptions.  Now, assumptions have got a bad rap.  Contrary to popular belief, if they’re used correctly, they don’t make an ass out of you, me or anyone.  When they’re used correctly they can have an incredible simplifying power for complex situations and can be leveraged as an amazing learning tool.

The problem with complex systems when it comes to planning and strategizing is that there are too many interactions that are changing too fast.  But usually when we’re trying to effect change on a system we have priorities.  We understand that the situation is complex and that we want have effects on it all but usually there’s a specific part of it that we’re dying to get our hands dirty with first.  The dilemma becomes do we operate deeply in the system and ignore the interactions and the complexity or do we operate broadly in the system and be less effective on each connected piece?  Good assumptions can let us do both.  By using the interconnectedness of a complex system to our advantage, we can assume that specific actions in one part of the system will have positive ripple effects on other parts of the system.  This allows us to evaluate and select actions that can be primarily effective in one part of the system and have the best assumed positive ripples in others.

But it’s hard to make good assumptions in these complex situations in order to pick the best ways to act.  To make the right assumptions you usually have to have good experiences and knowledge about the situation.  Usually you don’t and many of your assumptions will be wrong.  That’s where the learning power of assumption comes in.  If we document the assumptions around our actions and checkup on them after a little bit of time, then we can check to see whether our actions are having the desired positive ripple effects we assumed.  If they are, then we assumed correctly and we’ve picked a great path to navigate through the complexity.  If they are not, then we can learn from our mistakes, shift our actions towards a better set of assumptions and gain a little more knowledge about the situation we’re in so we don’t make the same mistake again.

Making good assumptions allows us to move to action and learn in complex situations.  Making assumptions that don’t simplify a complex situation or assumptions that we don’t learn from later really do make asses out of everyone!

Change 2.0

“The important questions are ‘When will change happen?’ and ‘What will change?’ The only answers we can rule out are ‘never’ and ‘nothing’”

-Clay Shirky, from ‘Here Comes Everybody

That’s one of my favourite quotes about change.  It captures the two key points of change better than anything I’ve read up until now: Change is constant and change is pervasive.

Change and complexity are linked.  If complex systems or complex problems are dynamic and constantly in a state of flux, then to understand them we must understand how these systems and problems are changing.  More importantly, if we plan to act in a complex system or solve a complex problem, then we are really in the business of changing the system or the state of the problem.  Like it or not, if we wish to become experts in managing complexity we must become experts in change.

Change is a large concept and we’ll explore many of the characteristics and nuances of it through later articles.  But in this article I wanted to focus on two qualities of change highlighted by the quote.

The first is that change is constant.  It sounds weird, since we’re used to constants being static and unchanging.  But we can never avoid change, it’s all around us.  I read once that change comes at two times: 1) When you expect it, or 2) When you don’t expect it.  Naively, sometimes we focus only on option one of that statement and think we can specify the time and place for change, like we’re setting up a meeting or a date.  But I’m sure we can all think of times when change has come too early to our lives when we weren’t ready for it, too late when we needed it earlier, or just showed up unannounced.  But understanding that change is always happening allows us to identify it when we don’t expect it and capitalize on the opportunities it creates.  Rather than being blindsided by change we can use it to our advantage.

The second quality is that change is pervasive.  Change in one area usually wiggles its way into other areas.  Sometimes when we identify change or plan for change, we assume that it will only affect one area and have no effects on others.  But our understanding of complexity shows us this assumptions is too simple.  If the world is complex and complexity involves a massive amount of interconnected components, then change in one component should be expected to affect other components within the system.  So the key question to managing change shouldn’t be “How can we keep change confined to one area?” but rather “How can we leverage the ripples of change in other areas from the change in one area?”  Just like understanding the constancy of change, understanding that change is pervasive allows us to get in front of it and capitalize on the opportunities it creates.  Once again we can turn the pervasiveness of change into an advantage.

If the bonus to understanding complexity is that we understand change, then the bonus to understanding change is that we start to understand how the world works.  We can start to understand how we interact with the world around us and the world interacts with us.  And more importantly, we can start to understand what we need to do shape the change we want to create within the world.  Rather than be receivers of change, we can start to become agents of change.

What is Complexity?

Have you ever tried looking up ‘complex’ in the dictionary?  It’s not pretty.

Complex: consisting of many different and connected parts, not easy to analyze or understand; complicated or intricate.

So complex things have a lot of connected parts and are ‘complicated.’  Great, but what’s complicated?

Complicated: consisting of many interconnecting parts or elements involving different and confusing aspects; intricate.  Opposite of simple.

OK, so there’s no real difference between complicated and complex, but it’s not simple.  So what’s simplicity.

Simple: plain, basic, or uncomplicated in form, nature, or design.

Now let’s summarize.  According to the dictionary, complex things and complicated things made of many interconnected parts that aren’t simple; and simple things are basic and not complicated.  If you’re confused, then you’re not the only one.  The dictionary seems like a bust to get to the meat of what complex is and how it relates to the concepts of complicated and simplicity.

Luckily, the systems thinkers amongst us have come up with an easier way to explain these concepts.  But to make it more fun (and less dry than the dictionary), let’s tell a story.

Imagine that you woke up this morning, you got out of bed and decided to put on your shirt for the day (I’m thinking this probably isn’t much of a stretch for many of you.)  You put your shirt on the same way you do every other day.  Nothing changes in the steps it takes to put on a shirt and you can keep every step in your head.  It’s easy to be an expert at putting on your shirt; we all are.  Putting on your shirt in the morning is a great example of a simple problem: a problem where you can follow a small number of simple steps all the time and always get the same results.

Now let’s say rather than wearing shirts you wanted to make shirts.  To make a good shirt you really have to understand what makes a shirt good.  You need to understand where to get the best thread and how to weave it into cloth.  You need to understand what are the cloth pieces you need and how you can stitch them together.  If your shirt factory is mechanized, you need to understand how all the machines work and how to fix them.  It looks like making shirts is going to be a big job, but the good thing is that if you break down the task of making a shirt into its different parts (like weaving, cutting cloth, sewing), each part can be simplified into a series of repeatable phases without needing a lot of interaction between them.  You can hire an expert who is good at one phase of shirt making and doesn’t really need to know a lot about the other phases.  Sometimes a phase may breakdown and we’ll get funky shirts or no shirts at all, but for the most part the process work well.  This is a great example of a complicated problem: a problem that can be decomposed into separate parts requiring expert knowledge only in each part that has a high probability of a repeatable outcome.

You’re now sitting on this massive stock pile of great shirts, but how do you market them so you can make some money?  How do you select your target shirt audience?  What are the needs of your buyers?  What is the value that your shirt provides a particular buyer?  These are tough questions because audience needs are made up of many interacting priorities that change all the time.  More importantly, if one person buys a shirt does that mean that another person is going to buy it for the same reasons?  If I can make waves with the 17 year-old girl skater crowd does that mean that they’ll be a flood of sales from the 73 year-old knitting grandfathers?  Obviously, as marketers can tell you, the answers are no.  All because your product sells with on group doesn’t meant that the same strategies will work with a second group.  Why?  Because marketing shirts is a complex problem: a problem that is constantly changing and evolving,  where the same actions are only successful in the right context and where there is a high level of uncertainty in the outcomes.

With a better understanding of what the complex, complicated and simple concepts actually mean, we can apply the definitions to different areas of our work.  We can classify problems whether they are simple, complicated or complex.  We can create simple, complicated and complex strategies.  We can even create communication pieces that are aimed at the simple, complicated or complex nature of our work.  But we’ll leave those as topics for later posts.

Welcome

Welcome everyone to EWB’s new blog, From the Edge of Complexity. This blog explores ideas around complexity, what complexity is and why it’s important to understand.

Many of us EWBers have already grappled with working in complex systems and complex situations (and if you haven’t yet, just wait!) Complexity can be mystifying. It can take an concept that we thought we understood and turn it on its head. It can make the perfect plans and actions that we used in a certain situation to great success in the past lead to utter failure when we’re faced with a situation that seems similar in the future. It can take us from feeling brimming with confidence and able to overcome any challenges we’re faced, to feeling completely stumped, confused and useless. Complexity can lead to incredible impact, and it can devastate programs to be completely ineffective.

The question is, why? And more importantly, what can we do about it? How can we use complexity to take advantage of all its positives, and avoid its negative traps? These are the questions that this blog is going to try to tackle.

Every week (or every other week … it depends on my busyness/laziness), there’ll be new thoughts, articles, and stories trying to explore this idea of complexity, what it means and what we can do about it. We’ll be able to debate and discuss these ideas too through this blogs comment system. Also, I don’t want posts to be limited to just me, everyone is invited to submit thoughts, stories ideas and feedback. If you’re interested in contributing, drop me a line at jonfishbein@ewb.ca.

So buckle up as we dive into complexity and emerge on the other side of it with a better understanding of how we can work through it!