The Wicked Problem of Wicked Problems
Posted: February 13, 2012 Filed under: behaviour change, complexity, design thinking, innovation, Systems science, systems thinking | Tags: AC4D, complexity, design, Jon Kolko, planning, strategy, systems thinking, wicked problems 2 Comments »Wicked problems are receiving a lot of attention these days giving much excitement to systems thinkers and designers alike. Yet what these problems mean for planning and understanding social programs and policies is not clear and may be even more wicked that it first appears.
I was excited to learn that Jon Kolko and his creative band of learners at the Austin Center for Design (AC4D) are coming out with a book on wicked problems. As one who studies and helps others to intervene in addressing such problems, this was like being a Star Trek fan learning that Leonard Nimoy was coming to speak at the Trekkie convention in my hometown. It is refreshing to see that the concept of the wicked problem is gaining traction beyond the small band of scholars and practitioners working at the intersection of complexity, systems and design thinking (which, admittedly is where many AC4D folk inhabit, but hopefully their audience will not).
But it’s not just one book. We are seeing transformations in education and science — with calls for a ‘new breed of scientist’ being created at places like Massey University in New Zealand — or spread through the news or business stories in various forms.
The concept of the wicked problem was originally posed by management science scholar and systems thinker C. West Churchman with planners Horst Rittel and Melvin Webber. The Wikipedia entry on wicked problems provides some examples of what these things are:
Classic examples of wicked problems include economic, environmental, and political issues. A problem whose solution requires a great number of people to change their mindsets and behavior is likely to be a wicked problem. Therefore, many standard examples of wicked problems come from the areas of public planning and policy. These include global climate change[4], natural hazards, healthcare, the AIDS epidemic, pandemic influenza, international drug trafficking, homeland security, nuclear weapons, and nuclear energy and waste.
In recent years, problems in many areas have been identified as exhibiting elements of wickedness – examples range from aspects of design decision making and knowledge management[5] to business strategy.[6]
As our social lives become more interconnected through the Internet, globalization, and mass migration, the complexity of the situations we find ourselves in grows. More of anything in diverse forms interacting together is likely to create complexity as new properties emerge and those properties change the trajectory of actions and reactions of the parts dynamically.
As one who is interested in wicked problems and works with people to address them, I should be thrilled to see the term used so widely. I am, but cautiously so. There is a risk that in the enthusiasm to embrace the lexicon of complexity that the meaning gets lost, which is what one gets from the hype cycle (See below).
The hype cycle is described as phenomonena initiated by a technology (or idea) and, once caught on, spikes the expectations beyond reason leading to discouragement, mass abandonment of the idea, and then — hopefully — a return to a level of reasonable return.
While the “cycle” (it is not a cycle) has limitations, the analogy here is well suited to fads of various types and the rapid ascension of the concept “wicked problem” in past years is indicative of a trend. Below are two representations of the amount of citations of the work “wicked problem” and “wicked problems” from Google’s Ngram service:
It appears that wicked problems (plural) are increasing and reference to a single problem is staying the same.
Regardless, an upward trend is evident. What it means is another matter…
If wicked problems are becoming talked about more often and by more people, it is appropriate to ask what kind of impact that this new thinking will have on not only the way the problems are posed, but how people seek to address them.
To that end, it is worth envisioning the future with caution. One of the reasons for this is that wicked problems are often not wholly wicked in their composition or the strategy required to address the problem — which ironically makes these types of problems even more wicked.
This has to do with the interconnected, multidimensional, and embedded nature of the problems themselves which contain within them many interconnected non-wicked problems. I’ve started to see difficulties with organizations developing strategy that fails to consider this. It is, as I’ve discussed before, an artefact of either-or thinking. Tackling the kind of wicked problems like poverty, chronic disease, and global finance require a meta-level strategy that recognizes, shapes and adapts to complexity, while accounting for micro-level issues that are indeed, very linear and simple.
Finding, training and retaining the right talent to work with diverse communities on problems that are poorly supported or funded from many sources is wicked. The human resource needs for payroll, supply management, and field support might be much less so. Yet, both are joined-up and require strategies that can extend beyond traditional management and strategy, but also embrace some of the very ‘best practices’ that seem at the outset to be antithetical to complexity.
Just as I shake my head in frustration at seeing complexity dealt with using amplified linear strategies that ‘do the wrong things righter‘, I have surprised myself by how much I’ve been twitching at hearing recent converts to systems thinking rail against the traditional ways of planning as if anything other than seeing problems as complex would be wrong.
At issue is that wicked problems are made more so by having both complex and non-complex elements working together, requiring a level of strategy development that is far more sophisticated than many first thought. Even a review of the better management texts using complexity give short shrift to the relationship between the complex, the simple and the complicated working simultaneously in environments and how we plan for that. The Cynefin Framework provides a start, but just a start.
Until we recognize this complexity — no pun intended — in the way we plan, there is great risk of replicating the hype cycle when our sole use complexity-based models yield poor results of a different nature than the poor results we are seeing from traditional linear, reductionist thinking models applied to many of the problems we deem as wicked today.
Picture credits: A Close Up on Knotted Rope by Sundariel used under Creative Commons License from DeviantArt
Graph: Gartner Hype Cycle by Jeremy Kemp used under licence from Wikipedia.
Merry Christmas 2011
Posted: December 24, 2011 Filed under: complexity | Tags: Christmas, design, health, personal, systems thinking Leave a comment »As we begin to say goodbye to 2011 and hello to the holidays that greet the end of one year and the beginning of a new one, I am writing to wish all my visitors and reader the warmest wishes for health, happiness, creativity, joy and love in these times.
Christmas has been a special time for most of my life. In my family, the creative spirit is expressed most at the holidays with decorations, food, and the giving of gifts and time to each other and themselves. We read, watch movies, sleep, and care for ourselves and each other in ways that sometimes get a little neglected the rest of the year. It’s the kind of spirit that, like many of the holiday songs suggest, really should be with us all year long. It’s also a time of gratitude for the things we have, a time of memoriam for those we lost or neglected, but mostly about the joy of coming together and giving of ourselves.
CENSEMaking has been a wonderful forum for expression, exploration of ideas, and a space to share reflections on what I see as the intersection of systems thinking, design, health and the ways we learn through engaging with it all. Thanks to all who’ve share their thoughts on the posts and added to them. It’s inspiring to consider how powerful the Internet is a force for sharing ideas, learning from each other, and meeting new people and I learned that more than ever this year.
For those of you celebrating Christmas, may it be merry.
For my friends of the Jewish faith, may your Hanukah celebrations continue with joy and light.
For those who are not of any particular faith tradition, may you find much in life to celebrate just because we don’t need a holiday to make our world bright.
In the bigger system of interactions, these small acts of kindness and good intention can make a substantial impact.
Complexity science shows us how small things working in consort can produce large effects.
Design offers us the means to channel these good acts and intentions into something positive.
And the act of creation is a sign of health.
How we make sense of it all is what brings us to life.
The warmest wishes of the season to all of you. — Cameron
What is Developmental Evaluation?
Posted: November 19, 2011 Filed under: complexity, evaluation, innovation, systems thinking | Tags: complexity, developmental evaluation, emergence, Michael Quinn Patton, program evaluation, road trip, strategic learning, systems thinking 5 Comments »Developmental evaluation (DE) is a problematic concept because it deals with a complex set of conditions and potential outcomes that differ from and challenge the orthodoxy in much of mainstream research and evaluation and makes it difficult to communicate. At a recent gathering of DE practitioners in Toronto, we were charged with coming up with an elevator pitch to describe DE to someone who wasn’t familiar with it; this is what I came up with.
Developmental evaluation is an approach to understanding the activities of a program operating in dynamic, novel environments with complex interactions. It focuses on innovation and strategic learning rather than standard outcomes and is as much a way of thinking about programs-in-context and the feedback they produce. The concept is an extension of Michael Quinn Patton’s original concept of Utilization Focused Evaluation with concepts gleaned from complexity science to account for the dynamism and novelty. While Utilization Focused Evaluation has a series of steps to follow (PDF), Developmental Evaluation is less prescriptive, which is both its strength and its challenge for describing it to people (things I’ve discussed in earlier posts).
So with that in mind, our group was charged with coming up with a way to explain DE to someone who is not familiar with it using anything we’d like — song, poetry, dance, slides, stories and beyond. While my colleague Dan chose to lead us all in song, I opted to go with a simple analogy by comparing DE to a hybrid of Trip Advisor and the classic Road Trip (due to lack of good vocalizing skills).
Trip Advisor has emerged as one of the most popular tools for travellers seeking advice on everything from hotel rooms to airlines to resorts and all the destinations along the way. Trip Advisor is averaging more than 13 million unique visitors per month and, unlike its competitors, focuses on user-generated content to support its service. Thus, your fellow travellers are the source of the recommendations not some professional travel agent or journalist. At its heart are stories of varies tones, detail and quality. People upload various accounts of their stay, chronicling even the most minute detail through photos, links to their blogs, video, and narrative. If you want to get the inside details on what a hotel is really like, check Trip Advisor and you’ll likely find it.
However, like any self-organizing set of ideas, the quality of the content will vary along with the level of reportage and the conclusions will be different depending on the context and experience of the person doing the reporting. For example, if you are a North American who is used to having even the most basic hotel chain offer a room with full-service linens, a bathroom, closet, desk and separate shower, you’ll have a hard time adjusting to something like EasyHotel in Europe.
The Road Trip part (capitalization intended here to denote something different than a regular trip by road), denotes the experience that comes from a journey with a desired destination, but not a pre-determined route and only a generalized timeline. A Road Trip is something that is more than just traveling from Point A to Point B, which is usually accomplished by taking the shortest route, the fastest route or a combination of the two; rather it is a journey. Movies like National Lampoon’s Vacation (and, European Vacation), Thelma and Louise, Harold & Kumar Go to White Castle, and (surprise!) Road Trip all capture this spirit to some effect. I suppose one might even find a more grim example of a Road Trip in the Lord of the Rings Trilogy or The Road.
Road Trips have a long history and are not just a North American phenomenon as this article from the Indian Newspaper, The Hindu reports in some detail:
“Road trips are fun when they are not planned point-to-point. As long as you have accommodation booked, that is enough. Its better not to have agendas; get as spontaneous and adventurous as you can. My friends and I went on a road trip to Goa last year. It was loads of fun as it was the first time we took off on our own without parents. To me, it was more than just a trip with friends. It showed that I could take care of myself and that I was now a grown-up, free to do what I wanted,” says Siddharth, who is doing his engineering.
Chance favours the prepared mind
“Road-tripping is a great way to bond with the people you are travelling with and I would strongly recommend it to people. It not only makes you appreciate yourself as an individual but is an amazing experience as you get to meet new people, know different cultures and sample different cuisines. I can never forget biking on sleet, riding though torrential rains, gobbling hot rotis at dhabas, the beautiful snow-capped mountains and guy talk with friends on the trip,” says Dheeraj, who recently went to Ladakh.
all is not hunky dory during these trips. You have to be way about accidents and mishaps. And, realise that freedom comes with responsibility. Says Arjun: “I had borrowed my friend’s bike for the trip, and though it looked good, it gave problems on the foothills of Kodaikanal and we couldn’t do the climb. Being a weekend, there were no mechanics. It helps to know your machine. A passion for road-tripping is not enough. You need to be equipped to take care of yourself also.”
Here, the story parallel is about being prepared. Know evaluation methods, know how to build and sustain relationships and to deal with conflict. A high tolerance for ambiguity and the flexibility to adapt is also important. Knowing a little about systems thinking and complexity doesn’t hurt either. Developmental evaluation is not healthy for those who need a high degree of predictability, are not flexible in their approach, and adhere to rigid timelines. Complex systems collapse under rigid boundary conditions and do evaluators working with such restrictions in developmental contexts.
So why do people do it? “Well, my memories of my favourite road trip were an injured leg, chocolates, beautiful photographs and a great sense of fulfilment,” recalls Arjun.
It is youngsters like these who have transformed road-tripping from just a hobby to an art.
After all, friendship and travel is a potent combination that you can’t say no to.
Do Relationships Scale?
Posted: October 31, 2011 Filed under: art & design, design thinking, innovation, knowledge translation | Tags: Coca Cola, conference, design, design management, evolution, evolutionary psychology, New York City, Paul Antrobus, Powers of Ten, psychology, scale, systems thinking 2 Comments »There is much discussion about scaling social innovation – bringing small successes to a larger theatre — yet little is known about the properties that make something work at one level successful at another. When the “thing” to scale is relationships, such as the case with knowledge translation and design, is bigger better or even possible?
Last week the Design Management Institute held its annual North American conference themed: Design at Scale. The conference featured many prominent names in branding, market development, graphic design, and design management together to discuss the ways in which the creative process used in design can be leveraged from one level to another.
One of the best technical examples came from David Butler and Gerardo Garcia from Coca Cola who showed their modular design system being used to transform the way small local retailers in South America can create large or small displays with products that are regionally appropriate with ease. While it was interesting to see how one could create retail displays that could easily adapt and scale, I was left wondering whether the same system would permit the social variables associated with each of these 1 million vendors to do the same thing. Are these vendors likely to view the modular system in the same way that Coke does? Does it even make sense to them? Surely for some that will be a “yes”, but will it be as many as Coke thinks and does this system solve a problem that the retailers have as much as it aims to satisfy Coke’s goal of doubling its revenue in the next decade?
While the physical product generated from this system might scale, the relationships that surround its implementation might not.
Which got me to thinking about the other lessons that came from the conference. Perhaps the most intriguing ones were those presented by Jamer Hunt, the Director for Transdisciplinary Design at Parsons The New School for Design. Hunt drew on the work of design legends Charles and Ray Eames and their film the Powers of Ten as a means of illustrating scale and what it really means (which he wrote about in Fast Company article last year).
An aside: The Powers of Ten was shown on the first day of my first class in psychology when I was an undergraduate at the University of Regina and was used by my professor, the truly remarkable Paul Antrobus (PDF), to illustrate the realm that psychology could play in the universe. “This is the realm of psychology” he declared. It is something that has probably never been uttered in another class in psychology anywhere and probably should be everywhere. It changed the perspective I brought to my work and has changed my life in ways I can’t fully comprehend.
What The Powers of Ten does is illustrate scale at the macro and micro level by showing how great, yet relatively consistent, the differences are between different scales. Scalar changes happen at an order of magnitude that becomes difficult to grasp as one shifts up or down due to the massive, exponential change that, at small scales seem palpable, but at large scales seem incomprehensible. Jamer Hunt made this all the more concrete when he used the example of an ant taking a shower. No matter how intentional an ant might be about wanting a shower, the water molecules from a shower are too big and would crush him (or her). The water doesn’t scale.
Social innovation, social design and communications (particularly knowledge exchange and translation) is largely about relationships. Developing intimacy, expressing empathy, creating trust, and having authentic and meaningful conversations are the hallmark of healthy and strong human relationships. They also tend to cluster with good, effective practice in the above-mentioned areas. There are good reasons why (contrary to what Paris Hilton might suggest) we don’t have a lot of BFF‘s in our lives: we can’t maintain that level of closeness with a lot of people. It is precisely because we create a sense of intimacy with a few, that the relationship with the many is able to be maintained as it is. Relationships change, evolve, grow and whither, but the absolute number of close, personal relationships for people tend to remain relatively constant, even if that number differs between people.
The work by evolutionary psychologist and anthropologist Robin Dunbar has looked at these relationships and found that, by and large, we are not able to maintain meaningful relations (nevermind close relations) with more than about 150 (with a large standard deviation). While the variance in this number is large, the implications for scaling might be larger. Some of Dunbar’s original research with primates suggests that our brains are simply not evolved enough to handle the complexity of too many more relations.
It might also simply be less enjoyable. Meaning is something that requires attention to create and use and the more variables competing for attention in your life, the less meaningful things might be. If this is the case, can we design programs and initiatives that scale up from small to big? Or do we need to reframe the way we see scaling to something akin to a network, whereby there are a lot of small nodes connected together? Networking nodes seems to be a way to go big and go small.
If so, what does this mean for designing systems that scale? It might also mean that for those of us working to develop solutions that scale that we need to pay attention to the social and mathematical issues that come with scaling something. It means paying attention to psychosocial physics and dynamics and using research more intently to inform our designs and social innovations lest we scale in ways that create metaphorical water-droplets that are so big crush those we seek to shower.
Systems Thinking and the Design of Empathy
Posted: September 22, 2011 Filed under: complexity, design thinking, systems thinking | Tags: Charles Leadbeater, design, developmental design, developmental evaluation, empathy, organizational change, systems thinking Leave a comment »Scalability is an issue that faces practitioners in systems and design. How do we design systems at scale and if so, what might they look like.
Charles Leadbeater has been on a mission to find ways to make large organizations — particularly those in the social sector – more innovative. Leadbeater, like many social innovators, is hard to pin down to a single title or role. He is at once a researcher, a designer, a systems thinker, and a urbanist. Like most innovators, all and none of these descriptors truly fit.
Leadbeater was in Toronto earlier this week to speak on the issue of innovation in cross-sector collaboration for public good at the MaRS Discovery District. If you’ve seen Leadbeater speak (consider the talks on TED here or elsewehere), you’ll know that you’re in for some English-style self-depricating humour alongside of much about the manner in which people engage in change actions within a system. You’ll also get a lesson in social design, the kind that Victor Papanek advocated for.
To my delight, Leadbeater did not disappoint. Unlike other talks, the value came less from a focused “take home message” and more in a way of conceiving social systems through the combined lens of systems and design thinking (my terms, not his). At the heart of his talk was the challenge we face with building systems and empathy at scale. When things interact, eventually they become understood within a set of boundary conditions and interact, thus making a system. The system in turn begins to establish rules (or rather, the rules determine the system). These emergent properties thus shape the way the system operates or, in social situations, governs or guides the actions of those within it.
The problem is that at certain scales the very factors that create positive social relations, that is those that yield tangible emotional, resource, or informational benefits for one or more parties, get warped under the changes in that scaling. Thus, we have the countless stories of a beloved small business grown in a confined community that becomes a multinational corporation and, in doing so, loses the intimacy and connection to its customers in the process. Companies do this, government organizations show this, and so do cities.
The more one designs for the humans within the system in ways that create meaningful engagement, the greater the empathy. Yet deep empathy is often founded upon intimacy, which is something that is difficult to scale. Leadbeater illustrates the various ways in which firms and cities have addressed this on the graph above. In each case, there are examples that fit. In business for example, there is Ryanair, which embodies a highly structured system with low empathy (top left corner). Opposed to that is the local farmer’s market where one gets to know their grower, experience high mutual empathy, but in a manner that is unique, idiosyncratic and non-systematic in most ways. The challenge is how to design organizations at scale from the cosy-ness of the Farmer’s Market without becoming a Ryanair.
It struck me that the food service industry might be one of the areas where the scalability can be achieved. For example, Starbucks is a gigantic corporation with shops worldwide, yet it still manages to create a very homey, local feel at each one. In the mornings I go to the gym I stop by a location to get a smoothie and my server always remembers my order. At the location near where I take classes, they gave me a free drink because they couldn’t get the computer to take off my 10 cent reusable cup discount. In each location, the benefits were not just in customer service, but in the chit-chat and relationships that I develop with the staff. It’s not like I am speaking to owner-operators at some of the great independent coffee shops around my city, but it is close.
The Starbucks experience was thought through, intentional and thus, by design. We can do this with other systems. The key is whether or not the systems themselves are aware enough to know when they have, indeed, become systems. Starbucks today could not be empathic in exactly the same way as it was when it was a one-shop place at Pikes Market in Seattle. But it can create something similar, which is parallel to Simon’s notion that design is about the science of the artificial.
I’ve been developing and advocating for an approach to creating scale — in time and scope — that I call developmental design. A developmental design approach means shifting and changing over time and designing things in a manner that adjust to the complexities associated with dynamic systems. It brings together complexity, systems, design and the detailed feedback mechanism that comes through developmental evaluation. Leadbeater’s grid helps add to this concept by giving a focus to the development, from one level of empathy to another and one systemic scale to another.
Through thinking in systems and acting through design, perhaps then we can create the kinds of services and organizations that respond to the challenges we face.
And designing for empathy will help us know when we’ve achieved it.
The Complexity Challenge
Posted: June 30, 2011 Filed under: complexity, systems thinking | Tags: complexity, contemplative inquiry, education, learning, mindfulness, organizational change, simplicity, systems thinking 2 Comments »Before acting in a manner consistent with complexity principles, people need to understand what they are, how they are different from other systems, and what it means for their work. With mainstream education, professional practice so geared to linear forms of learning this bodes poorly for building better systems thinkers.
“Let’s just throw some social media at it” is a variant of an expression I often hear in my work in health communications consulting and training. Organizations seeking to use the new tools and media employed by Facebook, Twitter, and YouTube genuinely want to “get in the game” and use them effectively. Where things get problematic is when I tell them that social media is principally about building relationships and that extends to organizations: you need to relate and therefore act according to how you build relationships.
Just as no one (at least no one I’ve met) would consider drawing up a flowchart and showing a prospective mate the planned trajectory of their dating relationship with milestone targets and deliverables, no organization should think that they can just shovel content to people and expect their audience to relate better to them.
At first one might attribute this to a lack of understanding of social media, but that is only a small part of it. Empathy is another. But the third and perhaps biggest reason is a fundamental lack of understanding of complexity and what it means.
The seductive nature of the “best practice” and the prescription for change in 5,7, 10, 12 or whatever easy steps is something that is endemic in our society. These forms of thought suggest a linear trajectory of events, suggest an ability to control for externalities and parse out their impact, and provide a prescriptive solution that removes much of the worry about unknowns. But H. L. Mencken’s often quoted phrase (which I’ve used often) suggests the folly in this.
Simplicity is another way to get around complexity. It is something sought, but rarely achieved in its application to the lived reality of the human condition, and although much discussed it hasn’t been widely achieved as a means of policy effectiveness. The reason lies with the nature of complexity itself and its resistance to reductionism. Evidence from biology through psychology (see previous links for examples) points to the considerable problem that science has with applying linear modes of thought and inquiry to complex systems.
The problems here are multifold and complicated, if not complex.
1. Our education system is designed for linear, progressive modes of learning not discovery and non-linearity. We sit kids (and adults) in rows, we talk at them, we present material front-to-back. In short, we don’t design education for learning, but for knowledge transmission. Complexity is all about learning. Every situation has a degree of novelty to it that presents new challenges and what happens today might not be the same thing that happens tomorrow even if much is similar. Teaching to discover, adapt, play and risk is something our system doesn’t do well. How can we expect complexity and systems thinking to thrive when the muscles used
2. It’s more convienient to think in dichotomies than spectrums. As I’ve written previously, spectral thinking is something critical to many of the issues we face in complex systems. Good/bad, strong/weak, X/Y lose their meaning in complex environments where there is a. Of all the dichotomies that work, only Ying/Yang comes close. But its a more difficult concept to grasp that maybe things aren’t all one way or the other, that there is use in even something that isn’t well constructed. This problem (and the ones that follow) are tied to the first one: education and learning systems are not set up for this. We are primed for either/or thinking. Think in criminal justice terms how easy it is to demand harsh punishment for criminal acts without considering that the perpetrators are human too, even if their behaviour is unacceptable.
3. Our decision-making tools are ill-equipped to handle ambiguity. Health care is a great example of how badly we do at complexity thinking. Consider the systematic review, often viewed as the gold standard for evidence for adoption into healthcare organizations. If it has a good systematic review, then the chances that we will see that evidence translated into practice is good, right? No. Surprisingly, even systematic reviews of systematic review use shows a mixed bag in adoption. Systematic reviews are designed to reduce ambiguity, but (for those on human social systems at least) they only illustrate how much there is. A systematic review only looks at the evidence created, it doesn’t include all those questions that were never asked, never funded for inquiry, or couldn’t be structured in a manner that fits the criteria for a good review. It is, by its design, reductionistic in its approach to complexity.
4. Our institutions are resistant to complexity. Complexity takes time, nuance, and relationship development; all the things that screw up plans. You can’t plan a relationship, but you can anticipate some things. You might even be able to use scenario tools and strategic foresight methods to anticipate what might happen, but you can’t plan it. John Lennon is right:
Life is what happens when you’re busy making other plans
While we plan, the complex systems move along. We can plan and fail, fail and plan, or plan to fail and work build the strategic foresight to know what to do with these “failures”.
So now what? Being aware of these things is a start, but making systems change is really the key. Making change is about questioning the way we have been taught to learn, and what our assumptions are about the universe are. Learning the difference between a simple, complicated, complex and chaotic system and the means to identify when those systems present themselves (and how they often change) is another. This means finding like minds, sharing stories, and building networks. It means creating space for relationships — even in our linear planning models if we must keep them (or better yet, get rid of most of them) — and considering what kind of returns we get from paying attention, being mindful of our systems, and what kind of things contemplative inquiry might offer that simple, detached data analysis does.
These are starting points, but not all of them. Addressing the challenge of complexity is, ironically or perhaps appropriately, complex. But the challenge of dealing with the negative outcomes resulting from overly simple approaches to dealing with complexity will ultimately be far more so.
Developmental Thinking and Evaluation
Posted: June 20, 2011 Filed under: evaluation, innovation, research | Tags: design, developmental design, developmental evaluation, evaluation, systems thinking 1 Comment »Developmental evaluation is difficult to initiate, largely because the thinking behind it is so foreign to normal program planning and reporting. It appears that developmental thinking needs to be in place before one can hope to implement a DE project successfully.
Over the next few days I will be meeting with colleagues working with the Social Innovation Generation Group, Michael Quinn Patton and others who share an interest and wrestle with developmental evaluation (DE) in practice.
Over the course of the last year we have been meeting monthly to discuss our experiences, challenges and learning on the issue of developmental evaluation. Although our group members come from diverse fields — government, academia, non-profit and others — and are focused on projects that range in scope, we all share one common experience: frustration with implementing DE.
Reading through a case study the other night I couldn’t help be see something I’d seen before: the principal barrier to the implementation of DE is that the program, its partners, or the stakeholders associated with the program didn’t individually or collectively function in a manner that supported DE. Whether they actually bought into DE in the first place is also not known, but it seems to me that the two are related.
Developmental thinking about social issues has shown itself in my work to be a linchpin for any progress on developmental evaluation. Commiserating with colleagues in this area, it seems evident to me that assessing for DE is a critical step in the pre-work that needs to come before any evaluation takes place. Without developmental thinking, developmental actions and evaluation is hard to reasonably achieve.
If you do not see your program as one that evolves, but rather just gets bigger, better, stronger, weaker etc.., having real-time evaluation tools will be less useful or perhaps even harmful in the absence of a thinking framework to make sense of the data. Real-time, consultative evaluation, and its utilization-focused actions makes DE stand apart from other approaches to evaluation, even if the methods and tools are similar.
The implications for this assertion in practice are enormous. It means that a DE practitioner cannot be just an evaluator or at least must find others that can work with a program to educate, inspire and contemplate collaboratively about developmental thinking and what it means for a program. It also brings the evaluation function far closer to program planning than evaluators (and program planners) might be used to. It also means holding a willingness to think different, not just implement different thinking. To that end, knowledge of motivation and some sense of how one provokes or creates space for change is also important.
Taken together, we have ourselves a real challenge. The “core competencies” for DE already include qualities like people skills, knowledge of complexity, and communication skills (in addition to fundamental skills in evaluation methods and process implementation), but now we are adding additional ones. Systems thinking, behaviour change, program planning and design are all reasonable skills that would assist an evaluator in doing this work. Nice in theory, but how about in practice? Can we reasonably expect that there are enough people out there with these skills to do it well? Or is this a call for more of a team-science (or rather, team evaluation) approach to evaluation?
















