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Developmental Evaluation Preparedness

2019-10-08 by cense

Pilots have a pre-flight check before they fly a plane. A developmental evaluation journey requires the same kind of preparedness.

Developmental Evaluation (DE) is an approach to strategic learning designed for understanding and supporting innovation. This approach to data-driven learning requires a specific set-up to do well. While we need a mindset, skillset, and toolset to do DE, we also need a receptive system to make it all work.

Here are the things you can do to lay the groundwork for doing DE and making it a success. Think of this as your pre-flight checklist for a journey of learning together.

These are attributes and may be found within individuals, but it’s better if they are distributed widely across the organization.

Mindset

The most important aspect of a Developmental Evaluation is creating the right mindset. This mindset is focused on complexity, adaptation, and development (vs. improvement, linear growth). A list of statements to examine whether you have the right mindset is available on Censemaking and can provide a start.

Some other mindset questions include:

  1. Openness to experience. A DE will likely take a journey that can’t be fully predicted, much like a road trip. An openness to a non-linear pathway toward a preferred destination and the willingness to adapt the path and the destination based on evaluation data and evidence is key.
  2. Tolerance for ambiguity. Few of us enjoy uncertainty, but we all need to deal with it when working on a DE.
  3. Self-awareness. We often get in our own way. Understanding how we think and the biases and perspectives we hold is important to knowing when they serve us and when they are a barrier to innovation. Mindfulness is a part of this quality.
  4. Patience. This is a skill and mindset quality. Knowing that things will unfold at a time and pace that might change is useful — and requires patience in just knowing that.
  5. Evaluative thinking. This is a form of thinking that gets us connecting our activities, outcomes, and effects and asks three key questions about how we know something (and what to do about it).

Skillset

Developmental evaluation is not for the unskilled. While many of the qualities inherent in a DE are natural to people, they are not commonly practiced in organizations. DE is an approach, and while a skilled evaluator might have many methodological skills to do much of what is in a DE, without the following skills — with the evaluator, the evaluation team, the organization, or all of them — you won’t likely succeed.

  • Facilitation. A DE is a collaborative endeavour. You need facilitation skills to engage the diversity of perspectives in the system and coordinate the discussion, feedback, and opportunities for everyone to engage with these perspectives.
  • Sensemaking. Sensemaking is a participatory process that involves taking data that may be difficult to understand, ambiguous in its conclusions, or incomplete and helps people make sense of what it means for the organization within the present context and strategic needs. Sensemaking for DE helps guide decision-making and strategy.
  • Complexity and Systems Thinking. A distinguishing feature of DE is the use of applied thinking from systems science and complexity to guide the entire process. This means creating designs and processes that are sensitive to detecting emergent properties, network effects, organizational behaviour (like self-organization), and non-linear or algorithmic change dynamics.
  • Dynamism. Complexity also requires that an evaluation be designed with consideration of the dynamics of the program, actors, and system. This means adapting or developing from a moving position, not a static position. It also involves designing evaluations that take into account the growth pattern and evolution of a program that suits the system. It’s about a design for changing conditions.
  • Visualization. System complexity is made more so by the inability to effectively ‘see’ the systems in our heads – there’s too much information. The ability to create system maps, visualize the dynamics and relationships within it, and facilitate discussion of those systems is critical to understanding where a program fits within it all. Visualization can be sophisticated or relatively simple in nature.
  • Design. What makes DE distinct is that it is about making modifications to the program as it unfolds using evaluation data to guide the strategy. These modifications require design and the skills — like with evaluation — require designing a program while it is moving. These developmental design skills are often overlooked and bring together service design and innovation with elements of systemic design.

Toolset

The toolset is the least specific of the three ‘sets’ for DE. Almost any method can support a DE, although unlike other approaches, rarely will there be a case where a single method — interview, survey, observation — will work on its own. A multi-method or mixed-method approach to data collection is almost always necessary.

Some additional tools or methods that are not common are ones we’ve advocated for and either developed ourselves or borrowed from other contexts. Three of the most important of these are:

  • The Living History Method. This meta-method brings together artifacts that inform the program’s early development and evolution. It recognizes that the present program is shaped by where it came from and that such a history can influence where things are going. Unless these conscious or unconscious patterns are recognized it is unlikely they will change. This method also helps record decisions and activities that often get missed when creating an innovation.
  • Dashboards. The wealth of potential information generated from a DE and available at our fingertips can overwhelm even the most skilled evaluator. Creating dashboards using simple tools and technologies can help organize the various streams of data. It also can allow someone to gain a sense of where there may be simple patterns laying within a complex layer of data.
  • Spidergrams. The spider diagram is a simple visualization tool that can work well in a DE as it helps pull various data points together in a way that allows comparison between them AND the ability to dive deep within each data stream.

Some additional perspectives on doing DE can be found in the guide (PDF) published by the McConnell Foundation by Elizabeth Dozois and colleagues.

Next time you are considering a DE, look at your present inventory of mindsets, skillsets, and toolsets to see if you have the right resources in place to do the work you need to do.

Need help? Contact us. We can help you set up a Developmental Evaluation, do one, or both. We’d love to hear from you.

Photo by Lucia Otero on Unsplash

Filed Under: Research + Evaluation, Toolkit Tagged With: complexity, dashboard, developmental design, developmental evaluation, evaluative thinking, living history method, mindfulness, spidergram, systemic design

The Amazing Spidergram

2019-08-22 by cense

Illustrating action points within a complex system challenges evaluation users. Time to call on your friendly neighbourhood spidergram for help.

Visualizing complex systems is a challenge within strategy, foresight, and evaluation because each component of the system is interconnected with others. Influence on one of these is likely to influence others.

From an action standpoint, it’s easier to focus on one or two small parts of the system than tackle the entire system all at once. How do we reconcile this and provide a means to see the parts of the system without being reductionistic and neglecting the relationship with the whole?

One answer is: look to the spiderweb.

A spiderweb is a good entry-level metaphor for helping people see places they can take action within a system by creating distinctions between the parts (nodes, intersections) and the whole (branches, webs). There are two related, but different spiderweb models worth noting.

Spider Diagrams / Mindmaps

Spider diagrams (or spidergrams or mindmaps) are ways to connect ideas together through the branch-and-thread model akin to a spider’s web (hence the name). These are often called mindmaps and have been shown to facilitate learning about complex topics.

They enable the development of relationships between ideas and possible causal or associative pathways between ideas, concepts, or other data- or evidence-informed concepts. They also enable us to cluster related concepts together to identify sub-systems that may be more amenable to our intervention within the larger whole.

Spidergrams / Radar Diagrams

The other spider-related metaphor that is available to innovators and evaluators is the spidergram, sometimes called a Radar Chart or Spider Chart. These allow for the display of data collected along a scale presented alongside others that use a similar proportioned scale.

This hub-and-spoke model of data allows users to see a variety of performance indicators presented along a similar set of axes related to a common goal.

What this allows for is a view of performance across a variety of metrics simultaneously and can recognize how we make progress on one area often at the expense of another. Strategically, it can enable an organization to balance its actions and foci across a variety of key indicators at the same time.

This can be used with quantitative data such as the financial data above or social data, too.

Spidergrams/charts can also overlay data within the same domain (see example) providing even more depth into recurring or separated data points within the same topic or subsystem.

The web of engagement

What makes these tools powerful is that they display a lot of data at the same time in a manner that can facilitate engagement with a group of people tasked with making decisions. Visualizing data or systems brings the benefit of literally getting people’s focus on the same page.

People around a table can then literally point to the areas they are interested in, concerned with, do not understand, or wish to explore assumptions about.

Complex systems introduce a lot of data and a lot of confusion. Sensemaking through the use of visuals and the discussion that they encourage is one of the ways to reduce confusion and get more from your data to make better decisions.

If you’re stuck in the web of data and complexity, call on your friendly neighbourhood spidergram.

Want to learn more about how this can assist your innovation efforts? Contact us and we’ll gladly swing over and help (without the costume).

Photo by Jean-Philippe Delberghe on Unsplash. Spidergram by

Filed Under: Complexity, Research + Evaluation, Toolkit Tagged With: data, data visualization, evaluation method, foresight, mindmap, spidergram, strategy, tool

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