Tag: organizational development

behaviour changebusinessdesign thinking

How do we sit with time?

on May 16, 2018

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Organizational transformation efforts from culture change to developmental evaluation all depend on one ingredient that is rarely discussed: time. How do we sit with this and avoid the trap of aspiring for greatness while failing to give it the time necessary to make change a reality? 

Toolkits are a big hit with those looking to create change. In my years of work with organizations large and small supporting behaviour change, innovation, and community development there are few terms that light up people’s faces than hearing “toolkit”. Usually, that term is mentioned by someone other than me, but it doesn’t stop the palpable excitement at the prospect of having a set of tools that will solve a complex problem.

Toolkits work with simple problems. A hammer works well with nails. Drills are good at making holes. With enough tools and some expertise, you can build a house. Organizational development or social change is a complex challenge where tools don’t have the same the same linear effect. A tool — a facilitation technique, an assessment instrument, a visualization method — can support change-making, but the application and potential outcome of these tools will always be contextual.

Tools and time

My experience has been that people will go to great extents to acquire tools yet put little comparative effort to use them.  A body of psychological research has shown there are differences between goals, the implementation intentions behind them, and actual achievement of those goals. In other words: desiring change, planning and intending to make a change, and actually doing something are different.

Tools are proxies for this issue in many ways: having tools doesn’t mean they either get used or that they actually produce change. Anyone in the fitness industry knows that the numbers between those who try a workout, those who buy a membership to a club, and those who regularly show up to workout are quite different.

Or consider the Japanese term Tsundoku, which loosely translates into the act of acquiring reading materials and letting them pile up in one’s home without reading them.

But tools are stand-ins for something far more important and powerful: time.

The pursuit of tools and their use is often hampered because organizations do not invest in the time to learn, appropriately apply, refine, and sense-make the products that come through these tools.

A (false) artifact of progress

Bookshelf

Consider the book buying or borrowing example above: we calculate the cost of the book when really we ought to price out the time required to read it. Or, in the case of practical non-fiction, the cost to read it and apply the lessons from it.

Yet, consider a shelf filled with books before you providing the appearance of having the knowledge contained within despite any evidence that its contents have been read. This is the same issue with tools: once acquired it’s easier to assume the work is largely done. I’ve seen this firsthand with people doing what the Buddhist phrase decries:

“Do not confuse the finger pointing to the moon for the moon itself”

It’s the same confusion we see between having data or models and the reality they represent.

These things all represent artifacts of progress and a false equation. More books or data or better models do not equal more knowledge. But showing that you have more of something tangible is a seductive proxy. Time has no proxy; that’s the biggest problem.

Time just disappears, is spent, is used, or whatever metaphor you choose to use to express time. Time is about Kairos or Chronos, the sequence of moments or the moments themselves, but in either case, they bear no clear markers.

Creating time markers

There are some simple tricks to create the same accumulation effect in time-focused work — tools often used to support developmental evaluation and design. Innovation is as much about the process as it is the outcome when it comes to marking effort. The temptation is to focus on the products — the innovations themselves — and lose what was generated to get there. Here are some ways to change that.

  1. Timelines. Creating live (regular) recordings of what key activities are being engaged and connecting them together in a timeline is one way to show the journey from idea to innovation. It also provides a sober reminder of the effort and time required to go through the various design cycles toward generating a viable prototype.
  2. Evolutionary Staging. Document the prototypes created through photographs, video, or even showcasing versions (in the case of a service or policy where the visual element isn’t as prominent). This is akin to the March of Progress image used to show human evolution. By capturing these things and noting the time and timing of what is generated, you create an artifact that shows the time that was invested and what was produced from that investment. It’s a way to honour the effort put toward innovation.
  3. Quotas & Time Targets. I’m usually reluctant to prescribe a specific amount of time one should spend on reflection and innovation-related sensemaking, but it’s evident from the literature that goals, targets, and quotas work as effective motivators for some people. If you generate a realistic set of targets for thoughtful work, this can be something to aspire to and use to drive activity. By tracking the time invested in sensemaking, reflection, and design you better can account for what was done, but also create the marker that you can point to that makes time seem more tangible.

These are three ways to make time visible although it’s important to remember that the purpose isn’t to just accumulate time but to actually sit with it.

All the tricks and tools won’t bring the benefit of what time can offer to an organization willing to invest in it, mindfully. Except, perhaps, a clock.

Try these out with some simple tasks. Another is to treat time like any other resource: budget it. Set aside the time in a calendar by booking key reflective activities in just as you would anything else. To do this, and to keep to it, requires leadership and the organizational supports necessary to ensure that learning can take place. Consider what is keeping you from taking or making the time to learn, share those thoughts with your peers, and then consider how you might re-design what you do and how you do it to support that learning.

Take time for that, and you’re on your way to something better.

 

If you’re interested in learning more about how to do this practically, using data, and designing the conditions to support innovation, contact me. This is the kind of stuff that I do. 

 

 

 

 

 

complexityevaluationsocial innovation

Developmental Evaluation’s Traps

on April 19, 2018

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Developmental evaluation holds promise for product and service designers looking to understand the process, outcomes, and strategies of innovation and link them to effects. It’s the great promise of DE that is also the reason to be most wary of it and beware the traps that are set for those unaware.  

Developmental evaluation (DE), when used to support innovation, is about weaving design with data and strategy. It’s about taking a systematic, structured approach to paying attention to what you’re doing, what is being produced (and how), and anchoring it to why you’re doing it by using monitoring and evaluation data. DE helps to identify potentially promising practices or products and guide the strategic decision-making process that comes with innovation. When embedded within a design process, DE provides evidence to support the innovation process from ideation through to business model execution and product delivery.

This evidence might include the kind of information that helps an organization know when to scale up effort, change direction (“pivot”), or abandon a strategy altogether.

Powerful stuff.

Except, it can also be a trap.

It’s a Trap!

Star Wars fans will recognize the phrase “It’s a Trap!” as one of special — and much parodied — significance. Much like the Rebel fleet’s jeopardized quest to destroy the Death Star in Return of the Jedi, embarking on a DE is no easy or simple task.

DE was developed by Michael Quinn Patton and others working in the social innovation sector in response to the needs of programs operating in areas of high volatility, uncertainty, complexity, and ambiguity in helping them function better within this environment through evaluation. This meant providing the kind of useful data that recognized the context, allowed for strategic decision making with rigorous evaluation and not using tools that are ill-suited for complexity to simply do the ‘wrong thing righter‘.

The following are some of ‘traps’ that I’ve seen organizations fall into when approaching DE. A parallel set of posts exploring the practicalities of these traps are going up on the Cense site along with tips and tools to use to avoid and navigate them.

A trap is something that is usually camouflaged and employs some type of lure to draw people into it. It is, by its nature, deceptive and intended to ensnare those that come into it. By knowing what the traps are and what to look for, you might just avoid falling into them.

A different approach, same resourcing

A major trap is going into a DE is thinking that it is just another type of evaluation and thus requires the same resources as one might put toward a standard evaluation. Wrong.

DE most often requires more resources to design and manage than a standard program evaluation for many reasons. One the most important is that DE is about evaluation + strategy + design (the emphasis is on the ‘+’s). In a DE budget, one needs to account for the fact that three activities that were normally treated separately are now coming together. It may not mean that the costs are necessarily more (they often are), but that the work required will span multiple budget lines.

This also means that operationally one cannot simply have an evaluator, a strategist, and a program designer work separately. There must be some collaboration and time spent interacting for DE to be useful. That requires coordination costs.

Another big issue is that DE data can be ‘fuzzy’ or ambiguous — even if collected with a strong design and method — because the innovation activity usually has to be contextualized. Further complicating things is that the DE datastream is bidirectional. DE data comes from the program products and process as well as the strategic decision-making and design choices. This mutually influencing process generates more data, but also requires sensemaking to sort through and understand what the data means in the context of its use.

The biggest resource that gets missed? Time. This means not giving enough time to have the conversations about the data to make sense of its meaning. Setting aside regular time at intervals appropriate to the problem context is a must and too often organizations don’t budget this in.

The second? Focus. While a DE approach can capture an enormous wealth of data about the process, outcomes, strategic choices, and design innovations there is a need to temper the amount collected. More is not always better. More can be a sign of a lack of focus and lead organizations to collect data for data’s sake, not for a strategic purpose. If you don’t have a strategic intent, more data isn’t going to help.

The pivot problem

The term pivot comes from the Lean Startup approach and is found in Agile and other product development systems that rely on short-burst, iterative cycles with accompanying feedback. A pivot is a change of direction based on feedback. Collect the data, see the results, and if the results don’t yield what you want, make a change and adapt. Sounds good, right?

It is, except when the results aren’t well-grounded in data. DE has given cover to organizations for making arbitrary decisions based on the idea of pivoting when they really haven’t executed well or given things enough time to determine if a change of direction is warranted. I once heard the explanation given by an educator about how his team was so good at pivoting their strategy for how they were training their clients and students. They were taking a developmental approach to the course (because it was on complexity and social innovation). Yet, I knew that the team — a group of highly skilled educators — hadn’t spent nearly enough time coordinating and planning the course.

There are times when a presenter is putting things last minute into a presentation to capitalize on something that emerged from the situation to add to the quality of the presentation and then there is someone who has not put the time and thought into what they are doing and rushing at the last minute. One is about a pivot to contribute to excellence, the other is not executing properly. The trap is confusing the two.

Fearing success

“If you can’t get over your fear of the stuff that’s working, then I think you need to give up and do something else” – Seth Godin

A truly successful innovation changes things — mindsets, workflows, systems, and outcomes. Innovation affects the things it touches in ways that might not be foreseen. It also means recognizing that things will have to change in order to accommodate the success of whatever innovation you develop. But change can be hard to adjust to even when it is what you wanted.

It’s a strange truth that many non-profits are designed to put themselves out of business. If there were no more political injustices or human rights violations around the world there would be no Amnesty International. The World Wildlife Fund or Greenpeace wouldn’t exist if the natural world were deemed safe and protected. Conversely, there are no prominent NGO’s developed to eradicate polio anymore because pretty much have….or did we?

Self-sabotage exists for many reasons including a discomfort with change (staying the same is easier than changing), preservation of status, and a variety of inter-personal, relational reasons as psychologist Ellen Hendrikson explains.

Seth Godin suggests you need to find something else if you’re afraid of success and that might work. I’d prefer that organizations do the kind of innovation therapy with themselves, engage in organizational mindfulness, and do the emotional, strategic, and reflective work to ensure they are prepared for success — as well as failure, which is a big part of the innovation journey.

DE is a strong tool for capturing success (in whatever form that takes) within the complexity of a situation and the trap is when the focus is on too many parts or ones that aren’t providing useful information. It’s not always possible to know this at the start, but there are things that can be done to hone things over time. As the saying goes: when everything is in focus, nothing is in focus.

Keeping the parking brake on

And you may win this war that’s coming
But would you tolerate the peace? – “This War” by Sting

You can’t drive far or well with your parking brake on. However, if innovation is meant to change the systems. You can’t keep the same thinking and structures in place and still expect to move forward. Developmental evaluation is not just for understanding your product or service, it’s also meant to inform the ways in which that entire process influences your organization. They are symbiotic: one affects the other.

Just as we might fear success, we may also not prepare (or tolerate) it when it comes. Success with one goal means having to set new goals. It changes the goal posts. It also means that one needs to reframe what success means going ahead. Sports teams face this problem in reframing their mission after winning a championship. The same thing is true for organizations.

This is why building a culture of innovation is so important with DE embedded within that culture. Innovation can’t be considered a ‘one-off’, rather it needs to be part of the fabric of the organization. If you set yourself up for change, real change, as a developmental organization, you’re more likely to be ready for the peace after the war is over as the lyric above asks.

Sealing the trap door

Learning — which is at the heart of DE — fails in bad systems. Preventing the traps discussed above requires building a developmental mindset within an organization along with doing a DE. Without the mindset, its unlikely anyone will avoid falling through the traps described above. Change your mind, and you can change the world.

It’s a reminder of the needs to put in the work to make change real and that DE is not just plug-and-play. To quote Martin Luther King Jr:

“Change does not roll in on the wheels of inevitability, but comes through continuous struggle. And so we must straighten our backs and work for our freedom. A man can’t ride you unless your back is bent.”

 

For more on how Developmental Evaluation can help you to innovate, contact Cense Ltd and let them show you what’s possible.  

Image credit: Author

complexityeducation & learningpsychologysystems thinking

Complex problems and social learning

on September 14, 2017

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Adaptation, evolution, innovation, and growth all require that we gain new knowledge and apply it to our circumstances, or learn. While much focus in education is on how individuals attend, process and integrate information to create knowledge, it is the social part of learning that may best determine whether we simply add information to our brains or truly learn. 

Organizations are scrambling to convert what they do and what they are exposed to into tangible value. In other words: learn. A 2016 report from the Association for Talent Development (ATD) found that “organizations spent an average of $1,252 per employee on training and development initiatives in 2015”, which works out to an average cost per learning hour of $82 based on an average of 33 hours spent in training programs per year. Learning and innovation are expensive.

The massive marketplace for seminars, keynote addresses, TED talks, conferences, and workshops points to a deep pool of opportunities for exposure to content, yet when we look past these events to where and how such learning is converted into changes at the organizational level we see far fewer examples.

Instead of building more educational offerings like seminars, webinars, retreats, and courses, what might happen if they devoted resources to creating cultures for learning to take place? Consider how often you may have been sent off to some learning event, perhaps taken in some workshops or seen an engaging keynote speaker, been momentarily inspired and then returned home to find that yourself no better off in the long run. The reason is that you have no system — time, resources, organizational support, social opportunities in which to discuss and process the new information — and thus, turn a potential learning opportunity into neural ephemera.

Or consider how you may have read an article on something interesting, relevant and important to what you do, only to find that you have no avenue to apply or explore it further. Where do the ideas go? Do they get logged in your head with all the other content that you’re exposed to every day from various sources, lost?

Technical vs. Social

My colleague and friend John Wenger recently wrote about what we need to learn, stating that our quest for technical knowledge to serve as learning might be missing a bigger point: what we need at this moment. Wenger suggests shifting our focus from mere knowledge to capability and states:

What is the #1 capability we should be learning?  Answer: the one (or ones) that WE most need; right now in our lives, taking account of what we already know and know how to do and our current situations in life.

Wenger argues that, while technical knowledge is necessary to improve our work, it’s our personal capabilities that require attention to be sufficient for learning to take hold. These capabilities are always contingent as we humans exist in situated lives and thus our learning must further be applied to what we, in our situation, require. It’s not about what the best practice is in the abstract, but what is best for us, now, at this moment. The usual ‘stuff’ we are exposed to is decontextualized and presented to us without that sense of what our situation is.

The usual ‘stuff’ we are exposed to under the guise of learning is so often decontextualized and presented to us without that sense of how, whether, or why it matters to us in our present situation.

To illustrate, I teach a course on program evaluation for public health students. No matter how many examples, references, anecdotes, or colourful illustrations I provide them, most of my students struggle to integrate what they are exposed to into anything substantive from a practical standpoint. At least, not at first. Without the ability to apply what they are learning, expose the method to the realities of a client, colleague, or context’s situation, they are left abstracting from the classroom to a hypothetical situation.

But, as Mike Tyson said so truthfully and brutally: “Every fighter has a plan until they get punched in the mouth.”

In a reflection on that quote years later, Tyson elaborated saying:

“Everybody has a plan until they get hit. Then, like a rat, they stop in fear and freeze.”

Tyson’s quote applies to much more than boxing and complements Wenger’s assertions around learning for capability. If you develop a plan knowing that it will fail the moment you get hit (and you know you’re going to get hit), then you learn for the capability to adapt. You build on another quote attributed to Dwight D. Eisenhower, who said:

“I have always found that plans are useless but planning is indispensable.”

Better social, better learning

Plans don’t exist in a vacuum, which is why they don’t always turn out. While sometimes a failed plan is due to poor planning, it is more likely due to complexity when dealing with human systems. Complexity requires learning strategies that are different than those typically employed in so many educational settings: social connection.

When information is technical, it may be simple or complicated, but it has a degree of linearity to it where one can connect different pieces together through logic and persistence to arrive a particular set of knowledge outcomes. Thus, didactic classroom learning or many online course modules that require reading, viewing or listening to a lesson work well to this effect. However, human systems require attention to changing conditions that are created largely in social situations. Thus, learning itself requires some form of ‘social’ to fully integrate information and to know what information is worth attending to in the first place. This is the kind of capabilities that Wenger was talking about.

My capabilities within my context may look very much like that of my colleagues, but the kind of relationships I have with others, the experiences I bring and the way I scaffold what I’ve learned in the past with what I require in the present is going to be completely different. The better organizations can create the social contexts for people to explore this, learn together, verify what they learn and apply it the more likely they can reap far greater benefits from the investment of time and money they spend on education.

Design for learning, not just education

We need a means to support learning and support the intentional integration of what we learn into what we do: it fails in bad systems.

It also means getting serious about learning, meaning we need to invest in it from a social, leadership and financial standpoint. Most importantly, we need to emotionally invest in it. Emotional investment is the kind of attractor that motivates people to act. It’s why we often attend to the small, yet insignificant, ‘goals’ of every day like responding to email or attending meetings at the expense of larger, substantial, yet long-term goals.

As an organization, you need to set yourself up to support learning. This means creating and encouraging social connections, time to dialogue and explore ideas, the organizational space to integrate, share and test out lessons learned from things like conferences or workshops (even if they may not be as useful as first thought), and to structurally build moments of reflection and attention to ongoing data to serve as developmental lessons and feedback.

If learning is meant to take place at retreats, conferences or discrete events, you’re not learning for human systems. By designing systems that foster real learning focused on the needs and capabilities of those in that system, you’re more likely to reap the true benefit of education and grow accordingly. That is an enormous return on investment.

Learning requires a plan and one that recognizes you’re going to get punched in the mouth (and do just fine).

Can this be done for real? Yes, it can. For more information on how to create a true learning culture in your organization and what kind of data and strategy can support that, contact Cense and they’ll show you what’s possible. 

Image credit: Social by JD Hancock used under Creative Commons license.

psychologysystems thinking

Smart goals or better systems?

on July 19, 2017

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If you’re working toward some sort of collective goals — as an organization, network or even as an individual — you’ve most likely been asked to use SMART goal setting to frame your task. While SMART is a popular tool for management consultants and scholars, does it make sense when you’re looking to make inroads on complex, unique or highly volatile problems or is the answer in the systems we create to advance goals in the first place?  

Goal setting is nearly everywhere.

Globally we had the UN-backed Millennium Development Goals and now have the Sustainable Development Goals and a look at the missions and visions of most corporations, non-profits, government departments and universities and you will see language that is framed in terms of goals, either explicitly or implicitly.

A goal for this purposes is:

goal |ɡōl| noun:  the object of a person’s ambition or effort; an aim or desired result • the destination of a journey

Goal setting is the process of determining what it is that you seek to achieve and usually combined with mapping some form of strategy to achieve the goal. Goals can be challenging on their own when a single person is determining what it is that they want, need or feel compelled to do, even more so when aggregated to the level of the organization or a network.

How do you keep people focused on the same thing?

A look at the literature finds a visible presence of one approach: setting SMART goals. SMART goals reflect an acronym that stands for Specific, Measurable, Attainable, Realistic, and Time-bound (or Timely in some examples). The origin of SMART has been traced back to an article in the 1981 issue of the AMA’s journal Management Review by George Doran (PDF). In that piece, Doran comments how unpleasant it is to set objectives and that this is one of the reasons organizations resist it. Yet, in an age where accountability is held in high regard the role of the goal is not only strategic, but operationally critical to attracting and maintaining resources.

SMART goals are part of a larger process called performance management, which is a means by enhancing collective focus and alignment of individuals within an organization . Dartmouth College has a clearly articulated explanation of how goals are framed within the context of performance management:

” Performance goals enable employees to plan and organize their work in accordance with achieving predetermined results or outcomes. By setting and completing effective performance goals, employees are better able to:

  • Develop job knowledge and skills that help them thrive in their work, take on additional responsibilities, or pursue their career aspirations;
  • Support or advance the organization’s vision, mission, values, principles, strategies, and goals;
  • Collaborate with their colleagues with greater transparency and mutual understanding;
  • Plan and implement successful projects and initiatives; and
  • Remain resilient when roadblocks arise and learn from these setbacks.”

Heading somewhere, destination unknown

Evaluation professionals and managers alike love SMART goals and performance measurement. What’s not to like about something that specifically outlines what is to be done in detail, the date its required by, and in a manner that is achievable? It’s like checking off all the boxes in your management performance chart all at once! Alas, the problems with this approach are many.

Specific is pretty safe, so we won’t touch that. It’s good to know what you’re trying to achieve.

But what about measurable? This is what evaluators love, but what does it mean in practice? Metrics and measures reflect a certain type of evaluative approach and require the kind of questions, data collection tools and data to work effectively. If the problem being addressed isn’t something that lends itself to quantification using measures or data that can easily define a part of an issue, then measurement becomes inconclusive at best, useless at worst.

What if you don’t know what is achievable? This might be because you’ve never tried something before or maybe the problem set has never existed before now.

How do you know what realistic is? This is tricky because, as George Bernard Shaw wrote in Man and Superman:

“The reasonable man adapts himself to the world: the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man.”

This issue of reasonableness is an important one because innovation, adaptation and discovery are not able reason, but aspiration and hope. Were it for reasonableness, we might have never achieved much of what we’ve set out to accomplish in terms of being innovative, adaptive or creative.

Reasonableness is also the most dangerous for those seeking to make real change and do true innovation. Innovation is not often reasonable, nor are the asks ‘reasonable.’ Most social transformations were not because of reasonable. Women’s rights to vote  or The rights of African Americans to be recognized and treated as human beings in the United States are but two examples from the 20th century that are able lack of ‘reasonableness’.

Lastly, what if you have no idea what the timeline for success is? If you’ve not tackled this before, are working on a dynamic problem, or have uncertain or unstable resources it might be impossible to say how long something will take to solve.

Rethinking goals and their evaluation

One of the better discussions on goals, goal setting and the hard truths associated with what it means to pursue a goal is from James Clear, who draws on some of the research on strategy and decision making to build his list of recommendations. Clear’s summary pulls together a variety of findings that show how individuals construct goals and seek to achieve them and the results suggest that the problem is less about the strategy used to reach a goal, but more on the goals themselves.

What is most relevant for organizations is the concept of ‘rudders and oars‘, which is about creating systems and processes for action and less on the goal itself. In complex systems, our ability to exercise control is highly variable and constrained and goals provide an illusory sense that we have control. So either we fail to achieve our goals or we set goals that we can achieve, which may not be the most important thing we aim for. We essentially rig our system to achieve something that might be achievable, but utterly not important.

Drawing on this work, we are left to re-think goals and commit to the following:

  1. Commit to a process, not a goal
  2. Release the need for immediate results
  3. Build feedback loops
  4. Build better systems, not better goals

To realize this requires an adaptive approach to strategy and evaluation where the two go hand-in-hand and are used systemically. It means pushing aside and rejecting more traditional performance measurement models for individuals and organizations and developing more fine-tuned, custom evaluative approaches that link data to decisions and decisions to actions in an ongoing manner.

It means thinking in systems, about systems and designing for ways to do both on an ongoing, not episodic manner.

The irony is, by minimizing or rejecting the use of goals, you might better achieve a goal of a more impactful, innovative, responsive and creative organization with a real mission for positive change.

 

 

Image credit: Author

 

behaviour changepsychologysocial systems

Healing, by design

on April 25, 2017

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The concept of healing plays an integral part of healthy human development in many cultures, yet is largely unknown or misunderstood in its practice. If we seek to develop, evolve, innovate and grown as individuals, organizations and societies wisely we would do well to better grasp what healing is and how its done, by design. 

To develop, is to heal.

That’s a bold assertion, but one that is integral to understanding how we develop ourselves, our organizations and our communities and societies successfully.

Social and emotional baggage is what we bring with us on our journey. It can create character and strength, while it can also can weigh us down if we take too much of something or unhelpful things. Healing is one of the ways we deal with things to ensure that what we pack on a journey is the most useful for where we want to go and who or what we want to become. Because every journey is different, what is useful or not is relative, which is why a ‘one-sized fits all’ approach won’t work.

For those in developmental psychology,  developmental evaluation or any innovation-related field you’ll recognize this as the norm. But the means in which development takes place is often viewed as rational, logical and linear, despite talk to the contrary. Design thinking is a perfect example of this: it’s an approach that is, in practice highly unpredictable and non-linear, but is often taught as a straightforward method.

Healing across cultures

The traditional Western term for healing is defined around terms like making whole again, restorative, or therapeutic: terms that focus on a return to the status quo. There are other perspectives that view healing as a developmental concept focused on transformation that has greater utility for those interested in change-making. This perspective on healing comes largely from aboriginal contexts worldwide. This approach has been well-documented as part of the !Kung and Ju!hoansi peoples of central Africa, Fijian aboriginal tribes, and many of the First Nations in North America by Dr. Richard Katz. Katz has been interested in the ways in which the practice of healing supports community development and social transformation as well as serving as a vital part of the psycho-social and spiritual life of these cultures.

Within each of these cultures are a series of practices, tools, methods and approaches to healing that are employed by individuals as well as the collective society to not only address injuries and wounds, but use the experience as a means to growth and connection to the world.

The most obvious Western parallel is not psychological, but physiological. Consider muscle growth and development. For muscles to build, they must be stretched and worked in a manner that causes minor trauma to them. Without the traumas, no growth can occur. Healthy muscle development is partly conscious, but also involves the interaction with other muscles and can be a process that is designed (i.e., developing a weight training routine or fitness regimen) or not. One will yield a particular set of intentional results, while the other does not.

An old new design for healing

What Katz’s work does is show us how things are done elsewhere, but also points to how this process is similar across cultures and can be applied elsewhere. This is not about cultural appropriation, but rather an acknowledgement of some common ways in which people relate to the experience of healing that can be designed for different contexts, using local knowledge and wisdom from that cultural situation.

What might that look like? Katz’s work points to a few common characteristics that could form the basis for a healing context. If one were to design such a context, what might that include?

  1. Mind, body, spirit. No matter what the source of ill-health, dis-ease, or mental unwellness, the mind, body and spirit are all assigned a role, even if those roles might be uneven in their contribution to the problem and solution. Further, these three elements are not disconnected from the environment in which they exist. Personal problems are always, to some extent, social problems and vice versa. This acknowledges the systemic effects of the environments we create and the interconnection between mind-body-spirit and our world around us. This thinking is the forerunner to what we often consider as the psycho- and social determinants of health and the biopsychosocial model of health that is now widely applied within health sciences.
  2. Participation and engagement. The most central distinction between the indigenous approaches to healing that Katz has explored and Western ones is the role of the community in the healing process. Unlike Western allopathic approaches, the healing process is not viewed as the responsibility of the patient and healthcare provider alone, but the family, community and beyond. This perspective acknowledges that, if one is to believe that the environment is a contributor to illness and recovery, there must be engagement from that domain in the healing process. Across the examples that Katz explores we see the involvement of the community in the prevention, treatment, post-incident care and development and as one solid continuum of practice. Healing is social and therefore the benefits are accrued to everyone.
  3. Ceremony & ritual. This engagement through the healing process is guided through the use of ceremony and ritual. This is part of every healing practice, even allopathic medicine, but the role of these is made explicit.  In this case, healing is a conscious act that is shared with everyone involved. In Western societies, we too often fail to acknowledge ‘developmental moments’ properly, because we’ve not built in the spaces to do this. I’ve written about this in other places looking at the role of mindfulness in developmental evaluation and how there needs to be spaces for that to be built into regular practice — through ceremony and ritual, if you will — for it to work, otherwise things pass by.
  4. Mindfulness / data gathering. The act of paying attention is a prime source of data in healing practice. This goes beyond the simplistic view of diagnosis, which is not an appropriate means of viewing a problem if it takes place in a complex environment anyway — see the Cynefin Framework for reasons why. These cultures are using sophisticated means of assessing situations that are highly social, involve much sensemaking and, in keeping with appropriate practice for complex conditions, using multiple means and methods for capturing data about the source and context of a problem.
  5. Wisdom. While healing is done in the present, the cause and consequence have some roots back to the past. All of the cultures that Katz spent time with drew on wisdom from the elders, understanding of the past, and how what happened before sets the stage for what is happening now to some extent. This is where baggage can come in, personal history (including genetics) and ‘institutional memory’ in the case of organizations or communities. While we may think something is long finished and wrapped up, that might not be the case and if we’re not aware of our history we might be doomed not necessarily to repeat it, but to create a future we don’t want.
  6. Artifacts. The tools of ceremony and healing involve artifacts. While we might think of things like the couch, the medical bed, or the white coat as artifacts, so too does any healing situation have theirs are means to connect to the process and support healing. Many people, regardless of their background, draw on indigenous artifacts like burning sacred woods such as palo santo, or sage brush or sweetgrass, or perhaps incense of different types. More Westernized models such as candles or prayers might be involved. Used out of context without skill, these artifacts may not have the full perceived influence, but they allow those healing to recognize the act of healing as it takes place, creating a sacred space among the ordinary, transforming a space like a home or office into one that is suited for healing, demarcating the intentionality of healing. Whatever the artifact, even a mascot (e.g., toy) these things can create a space of sacredness where one didn’t exist before if used consistently and respectfully.
  7. Ongoing practice. Healing is not something that just happens and goes away. While the ritual and intensity of the healing act might change, there is a culture of healing that is created, just as we would seek to create a culture of learning, evaluation or innovation in an organization.
  8. Positivity. Richard Katz’s 1997 book looking at the Kalahari Ju!honansi peoples was entitled Healing Makes our Hearts Happy. The book details how the act of healing is a positive force in the community, despite the many challenges and pain that is experienced at times. The process of coming together, sharing and working on the process of creating a world for their people, not just reacting to things as they happen, allows for something that Rumi called ‘unfolding your own myth’. It provides agency and focus and keeps the community attuned to what is and what it wants to be on a regular basis. The process of coming back from dis-ease or dis-ability and creating a stronger next step is something that is always done from a place of positivity. In tactical terms, this is acknowledging what we know from psychology that it is more effective to ask for what you want, rather than what you don’t want. 
  9. Energy. The final piece is energy. This can take the form of some spiritual force, but also reflects an intensity and active engagement with healing. It’s not a passive thing, but something active that requires work and focus. The cultures Katz spent time with put this as a priority, not as a ‘nice to have’. How often have we decided to ‘just put things behind us’ not facing the real implications of something traumatic? I knew someone who lived with terrible emotional and social abuse who, upon leaving a harmful environment, decided to seek some therapy to work through the issues. This brought insight and clarity and that convinced her that only a few sessions would be needed and left therapy (the healing space), claiming she was all worked through that stuff and could manage on her own. Sadly, before long, that dark shadow from her past came back only not at a time of her choosing and only re-imposed the traumas of the past in a way that she wasn’t prepared to deal with. The process of healing requires a lot of energy and focus, but the benefits are enormous if they are sustained. Sustaining the energy is perhaps the hardest part.
  10. The role of the healer. Involved in all of the approaches explored was a healer (or two). These are usually wise, well-skilled, and compassionate individuals with expertise and experience in guiding the healing process. Like Western approaches, these healers bring tremendous assets to the healing encounter, but unlike them they are more conductors of the symphony — integral and important, but only one part of a larger whole. We are seeing more nurses, doctor, psychotherapists recognizing this, but more is needed. The healing approach is truly done from a systems perspective in many of these indigenous cultures, where the healer plays a critical, connected role, yet is impotent without the system’s engagement around her or him. This is also true for the self-as-healer. While we can do a lot, we can’t do it all on our own, no matter much we try.

Healing our perspectives on healing

This approach to healing is something that we can all engage in. What we need to do is find the means — personal, social, organizational — to fit into the context we live in. That’s not a simple task and the easy, simple – and wrong — approach is to simply copy the Indigenous cultures’ practices, tools and traditions. What is necessary is to create a healing culture that is appropriate to the context it’s used.

In a pluralistic, diverse, largely urbanized, secular, Westernized world, this is a challenge that isn’t easily addressed. It means getting to know yourself and the environment we work in. The ‘model’ of healing above may share common features with those of many indigenous cultures and, as Katz has noted in his forthcoming book, these are often connected deeply to healing practices that were overrun and buried by modern allopathic approaches to medicine — denying that these practices are part of all of our history to some extent.

It’s worth also adding some subtext to what has been mentioned above with a personal note. I’ve met Richard Katz on many occasions. He was the mentor to a brilliant psychologist who mentored me and taught me many approaches to healing that I’ve had the privilege to work with and through in my work. Dick would always say: “speak about what you know” meaning that your stories are yours, not others and vice versa. Be humble.

Richard has lived and worked among healers his entire professional life and told the stories through his books at invitation of the communities he’s worked in. He fully acknowledges the cultural problems that this introduces, the timing and clash of worldviews they embody, the role of colonialism and the Westernization / sanitization / dramatization that often comes from Western scholars reporting on indigenous affairs and has been cautious about claiming anything about these communities worlds as his own. It’s a delicate situation and one that, when we engage in healing work, is one that needs discussion. It’s important to respect and honour the sources of our wisdom and knowledge and the means in which we come to know what we know.

Get in touch with what you know and may it help with your — and our — healing work, by design.

References of note: 

Katz, R. (2017, forthcoming). Indigenous healing psychology: Honoring the wisdom of the first peoples. Healing Arts Press.

Katz, R., Biesele, M. & St. Denis, V. (1997). Healing makes our hearts happy.  Inner Traditions.

Katz, R. (1989). The straight path: Ancestral wisdom and healing traditions in Fiji. Park Street Press.

Katz, R. (1984). Boiling energy: Community healing among the Kalahari Kung. Harvard University Press.

 

complexitydesign thinkingemergenceevaluationsystems thinking

Developmental Evaluation and Sensemaking

on January 13, 2014
Sensing Patterns

Sensing Patterns, Seeing Pathways

Developmental evaluation is only as good as the sense that can be made from the data that is received. To assume that program staff and evaluators know how to do this might be one of the reasons developmental evaluations end up as something less than they promise. 

Developmental Evaluation (DE) is becoming a popular subject in the evaluation world. As we see greater recognition of complexity as a factor in program planning and operations and what it means for evaluations it is safe to assume that developmental evaluation will continue to attract interest from program staff and evaluation professionals alike.

Yet, developmental evaluation is as much a mindset as it is a toolset and skillset; all of which are needed to do it well. In this third in a series of posts on developmental evaluation we look at the concept of sensemaking and its role in understanding program data in a DE context.

The architecture of signals and sense

Sensemaking and developmental evaluation involve creating an architecture for knowledge,  framing the space for emergence and learning (boundary specification), extracting the shapes and patterns of what lies within that space, and then working to understand the meaning behind those patterns and their significance for the program under investigation. A developmental evaluation with a sensemaking component creates a plan for how to look at a program and learn from what kind of data is generated in light of what has been done and what is to be done next.

Patterns may be knowledge, behaviour, attitudes, policies, physical structures, organizational structures, networks, financial incentives or regulations. These are the kinds of activities that are likely to create or serve as attractors within a complex system.

To illustrate, architecture can be both a literal and figurative term. In a five-year evaluation and study of scientific collaboration at the University of British Columbia’s Life Sciences Institute, my colleagues Tim Huerta, Alison Buchan and Sharon Mortimer and I explored many of these multidimensional aspects of the program* / institution and published our findings in the American Journal of Evaluation and Research Evaluation journals. We looked a spatial configurations by doing proximity measurements that connected where people work to whom they work with and what they generated. Research has indicated that physical proximity makes a difference to collaboration (E.g.,: Kraut et al., 2002). There is relatively little concrete evaluation on the role of space in collaboration, mostly just inferences from network studies (which we also conducted). Few have actually gone into the physical areas and measured distance and people’s locations.

Why mention this? Because from a sense-making perspective those signals provided by the building itself had an enormous impact on the psychology of the collaborations, even if it was only a minor influence on the productivity. The architecture of the networks themselves was also a key variable that went beyond simple exchanges of information, but without seeing collaborations as networks it is possible that we would have never understood why certain activities produced outcomes and others did not.

The same thing exists with cognitive architecture: it is the spatial organization of thoughts, ideas, and social constructions. Organizational charts, culture, policies, and regulations all share in the creation of the cognitive architecture of a program.

Signals and noise

The key is to determine what kind of signals to pay attention to at the beginning. And as mentioned in a previous post, design and design thinking is a good precursor and adjunct to an evaluation process (and, as I’ve argued before and will elaborate on, is integral to effective developmental evaluation). Patterns could be in almost anything and made up of physical, psychological, social and ‘atmospheric’ (org and societal environmental) data.

This might sound a bit esoteric, but by viewing these different domains through an eye of curiousity, we can see patterns that permit evaluators to measure, monitor, observe and otherwise record to use as substance for programs to make decisions based on. This can be qualitative, quantitative, mixed-methods, archival and document-based or some combination. Complex programs are highly context-sensitive, so the sense-making process must include diverse stakeholders that reflect the very conditions in which the data is collected. Thus, if we are involving front-line worker data, then they need to be involved.

The manner in which this is done can be more or less participatory and involved depending on resources, constraints, values and so forth, but there needs to be some perspective taking from these diverse agents to truly know what to pay attention to and determine what is a signal and what is noise. Indeed, it is through this exchange of diverse perspectives that this can be ascertained. For example, a front line worker with a systems perspective may see a pattern in data that is unintelligible to a high-level manager if given the opportunity to look at it. That is what sensemaking can look like in the context of developmental evaluation.

“What does that even mean?” 

Sensemaking is essentially the meaning that people give to an experience. Evidence is a part of the sensemaking process, although the manner in which it is used is consistent with a realist approach to science, not a positivist one. Context is critical in the making of sense and the decisions used to act on information gathered from the evaluation. The specific details of the sensemaking process and its key methods are beyond the depth of this post, some key sources and scholars on this topic are listed below. Like developmental evaluation itself, sensemaking is an organic process that brings an element of design, design thinking, strategy and data analytics together in one space. It brings together analysis and synthesis.

From a DE perspective, sensemaking is about understanding what signals and patterns mean within the context of the program and its goals. Even if a program’s goals are broad, there must be some sense of what the program’s purpose is and thus, strategy is a key ingredient to the process of making sense of data. If there is no clearly articulated purpose for the program or a sense of its direction then sensemaking is not going to be a fruitful exercise. Thus, it is nearly impossible to disentangle sensemaking from strategy.

Understanding the system in which the strategy and ideas are to take place — framing — is also critical. An appropriate frame for the program means setting bounds for the system, connecting that to values, goals, desires and hypotheses about outcomes, and the current program context and resources.

Practical sensemaking takes place on a time scale that is appropriate to the complexity of information that sits before the participants in the process. If a sensemaking initiative is done with a complex program that has a rich history and many players involved that history, it is likely that multiple interactions and engagements with participants will be needed to undertake such a process. In part, because the sensemaking process is about surfacing assumptions, revisiting the stated objectives of the program, exploring data in light of those assumptions and goals, and then synthesizing it all to be able to create some means of guiding future action. In some ways, this is about using hindsight and present sight to generate foresight.

Sensemaking is not just about meaning-making, but also a key step in change making for future activities. Sensemaking realizes one of the key aspects of complex systems: that meaning is made in the interactions between things and less about the things themselves.

Building the plane while flying it

In some cases the sense made from data and experience can only be made in the moment. Developmental evaluation has been called “real time” evaluation by some to reflect the notion that evaluation data is made sense of as the program unfolds. To draw on a metaphor illustrated in the video below, sensemaking in developmental evaluation is somewhat like building the plane while flying it.

Like developmental evaluation as a whole, sensemaking isn’t a “one-off” event, rather it is an ongoing process that requires attention throughout the life-cycle of the evaluation. As the evaluator and evaluation team build capacity for sensemaking, the process gets easier and less involved each time its done as the program builds its connection both to its past and present context. However, such connections are tenuous without a larger focus on building in mindfulness to the program — whether organization or network — to ensure that reflections and attention is paid to the activities on an ongoing basis consistent with strategy, complexity and the evaluation itself.

We will look at the role of mindfulness in an upcoming post. Stay tuned.

* The Life Sciences Institute represented a highly complicated program evaluation because it was simultaneously bounded as a physical building, a corporal institution within a larger institution, and a set of collaborative structures that were further complicated by having investigator-led initiatives combined with institutional-level ones where individual investigators were both independent and collaborative. Taken together it was what was considered to be a ‘program’.
References & Further Reading:

Dervin, B. (1983). An overview of sense-making research: Concepts, methods and results to date. International Communication Association Meeting, 1–13.

Klein, G., & Moon, B. (2006). Making sense of sensemaking 1: Alternative perspectives. Intelligent Systems. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1667957

Klein, G., Moon, B., & Hoffman, R. R. (2006). Making sense of sensemaking 2: A macrocognitive model. IEEE Intelligent Systems, 21(4),

Kolko, J. (2010a). Sensemaking and Framing : A Theoretical Reflection on Perspective in Design Synthesis. In Proceedings of the 2010 Design Research Society Montreal Conference on Design & Complexity. Montreal, QC.

Kolko, J. (2010b). Sensemaking and Framing : A Theoretical Reflection on Perspective in Design Synthesis Understanding Sensemaking and the Role of Perspective in Framing Jon Kolko » Interaction design and design synthesis . In 2010 Design Research Society (DRS) international conference: Design & Complexity (pp. 6–11). Montreal, QC.

Kraut, R., Fussell, S., Brennan, S., & Siegel, J. (2002). Understanding effects of proximity on collaboration: Implications for technologies to support remote collaborative work. Distributed work, 137–162. Retrieved from NCI.

Mills, J. H., Thurlow, A., & Mills, A. J. (2010). Making sense of sensemaking: the critical sensemaking approach. Qualitative Research in Organizations and Management An International Journal, 5(2), 182–195.

Rowe, A., & Hogarth, A. (2005). Use of complex adaptive systems metaphor to achieve professional and organizational change. Journal of advanced nursing, 51(4), 396–405.

Norman, C. D., Huerta, T. R., Mortimer, S., Best, A., & Buchan, A. (2011). Evaluating discovery in complex systems. American Journal of Evaluation, 32(1), 70–84.

Weick, K. E. (1995). The Nature of Sensemaking. In Sensemaking in Organizations (pp. 1–62). Sage Publications.

Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005). Organizing and the Process of Sensemaking. Organization Science, 16(4), 409–421.

Photo by the author of Happy Space: NORA, An interactive Study Model at the Museum of Finnish Architecture, Helsinki, FI.

behaviour changecomplexitydesign thinkinginnovationpsychology

The Organizational Zombie Resistance Kit

on October 29, 2013
How to thwart a zombie

How to thwart a zombie

Zombies — unaware, semi-conscious, distracted individuals — are all around us and running many of the organizations we work in or with. And just like combatting real zombies there is a need to target the head.

There is much musing about what a zombie apocalypse might look like, but anyone paying attention to what is going on around them might not have to imagine what that looks like as they’d be forgiven for thinking it is already here. Whether its people glued to cellphones while walking/running/biking/driving, asking ‘dumb’ questions immediately following the answer, or scientists lazily allowing junk to pass peer review, we are surrounded by zombie-like behaviour.

As discussed in a previous post, the zombies are already here. A zombie in this context exhibits mindless attention in a manner that restricts awareness and appreciation of one’s immediate context and the larger system to which that behaviour occurs. Zombies are great fodder for horror movies, but lousy companions on the journey of life and even worse problem solvers. Building resistance to them involves more than just aiming for the head, it means aiming for the heart (of an organization). Thankfully, there are methods and tools that can do that and thus, CENSEMaking brings you the Zombie Resistance Kit.

Building resistance to zombies

I am a professional zombie hunter. I do this by helping organizations to be more mindful. A mindful organization is aware of where it sits in the systems it inhabits, connects the current context to its past, and from those places envisions paths to futures not yet realized; it is part psychology, part strategic foresight, and part research and evaluation. How it expresses this knowledge into value is design.

Building a mindful organization — one resistant to zombies — requires inoculation through awareness. There are eight broad areas of attention.

1. Grounding is a process of holding to where you are by first revealing to yourself where that is. It is about locating yourself within the system you are in and connecting to your history. Mindfulness is often seen as being focused on the present moment, but not at the expense of the past. Understanding the path you took to get to the present allows you to see path dependencies and habits and mindfully choose whether such pathways are beneficial and how they relate to the larger system. Surfacing assumptions and system mapping are key methods and tools to aid in the process of grounding an organization.

2.  Attunement is a means of syncing yourself to the environment, your role within it (after having been grounded) and increasing your receptor capacity for sensing and learning. It is about calibrating ones mission, vision, and strategy with the system purposefully and intentionally building your awareness for understanding how harmonious they are for your organization. When attuned to what is going on — literally being tuned into the signals around you — the potential to see and process both strong and weak signals is heightened, increasing sensemaking and sensing capability at the same time. The ability to see the system and understand what it means for who you are and what you do is a terrific means of combating zombie-like thinking.

3. Discovery: Encouraging curiosity and promoting a culture of inquiry is another key means of enhancing awareness. Kids are constantly amazed by the things they see and experience everyday. The world is no less amazing today than it is was when we were kids, but the pressures to act and ‘be’ particular ways can greatly inhibit the natural curiosity that we all have about what is going on around us. Encouraging discovery and asking critical questions about what we find is a means of enhancing overall engagement with the raw materials of our enterprise. It is risky because it might call into question some long-held assumptions that are no longer true, but if people are genuinely supported in asking these questions an organization increases the number of ‘sensors’ it has in it across conditions, roles and sectors generating new, context-ready knowledge that can seed innovation and enhance overall resiliency.

4. Creativity: Application of creative methods of problem finding, framing and solving via design thinking is a means of promoting engagement and seeing systems solutions. Design thinking can be a means of creative facilitation that guides mindful development, discovery, synthesis and solution proposals. Encouraging generation of ideas of all types, firsthand research, creation of prototypes, and the opportunity to test these prototypes in practice allow for individuals to claim legitimate ownership of the problem space and the solution space. This ownership is what creates true investment in the work and its outcomes, which is what zombies lack.

5. Strategic Foresight: By envisioning not only what a design can produce in the short-term, but see a future for what is created today into the years ahead, we build commitment to long-term goals. Strategic foresight brings together all of the preceding components to start envisioning what possible futures might look like so that an organization can better prepare for them or even create them. Strategic foresight is a structured means of visualizing possible futures based on current trends, data-driven projections, models and strategic priorities of the organization and connects the present activities to the past and projects possible futures from all of this giving the zombie a reason to stop its relentless blind pursuit of an unaware present goal.

6. Focus: While creative thinking is useful in enhancing divergent perspective taking and seeing new possibilities, focus allows for attendance to the critical path and refinement of strategy to fit the context, desires, capacity and intentions. Of the many futures that a strategic foresight process might produce, focusing the energy on those that are the most beneficial, congruent with goals and desires, and synchronous with the systems that an organization engages is another way to shock mindless thinking out of its zombie-like state. A focus provides a richer experience and something to strive for.

7. Knowledge integration. Introducing possibilities, building a creative culture, enhancing receptor capacity and building a focus is not sustainable if knowledge isn’t integrated throughout the process of moving forward; it is the knowledge practice behind developmental design.  Knowledge integration involves critically examining the organizational structure and culture to observe current knowledge practices. Do you have the right tools? The ability to use those tools effectively and make sense of the findings? Is the system understood and aligned to the purpose and resources available? When your system is aligned and the structures are put into place to work with that alignment knowledge is put to use.

8. Design Cycling: Developmental design is the means of engaging in ongoing evaluation and design simultaneously, while knowledge integration is taking the learning from those products and incorporating it into the DNA of the organization. Design cycling is the process by which this unfolds and iteratively repeats over cycles of innovation. Invariably, organizations tend to drift a little and by framing the innovation process as a cycle it acknowledges that even the best ideas will reach an ebb and flow and require renewal. This cyclical process encourages us to return to the first stage. This is an approach consistent with the Panarchy approach to life cycle development in complex systems. Everything runs its course.  This approach is consistent with a natural systems perspective and a pillar of the work on sustainable development in natural systems.

This model of development and organizational awareness provides balm against zombie-like behaviour. It gets people excited, it produces visible results that can be scrutinized in a transparent way, and it heightens engagement by bringing everyone in an organization into the role of problem framing, finding and solving. It enhances accountability for everyone who are now enlisted as creators, researchers, designers, and sensemakers.

By being more aware and alive we better engage brains rather than use that grey matter as food for zombies.

For more details on using this approach with your organization contact CENSE Research + Design.

Photo credit: From Zombie Walk 2012 SP collection by Gianluca Ramahlo Misiti used under Creative Commons Licence

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