Cense

Innovation to Impact

Surfacing Invisible Rules

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What often can hold our change initiatives back are mental models about how or why something happens. Historically, many innovations and discoveries were held back or failed outright because people were unable to see or believe what was in front of them. By asking a set of questions at the outset and throughout your project you can avoid many mishaps.

The scene below from Men In Black illustrates what happens when our mental models about the world get upended and ask a simple question about what we know*. (*Just prior to this scene, Will Smith’s character confronts alien life forms for the first time — something that Tommy Lee Jones’ character already knows and lives with.)

One way to surface these hidden assumptions is through an exercise we might call ‘Invisible Rules‘. This three-part exercise can help you surface and uncover those ‘hidden’ rules we live by that might be holding us back from what we are seeking to change.

The exercise involves asking a series of questions in three stages:

1. Assumptions

  • What assumptions am I operating under?
    • Consider things like people (populations, characteristics, traits, knowledge, skills, preferences), time and timing, the likelihood of success, resources required.
  • How did these assumptions come about?
    • Is the evidence based on fact or folk knowledge?
  • What evidence is there to support that these assumptions are true?
    • Is this evidence still valid? (e.g., is it based on a historical or current position? Has something changed considerably since the evidence was first generated to prompt questions about its relevance?)

2. Design

With these answers, we move to a new set of questions tied to the design of your innovation (project, product, service, etc..)

  • Can I modify any part of the design (e.g., remove, reduce, amplify, or replace) that might make it better?
  • What can I learn (borrow, modify, adapt) from other designs addressing similar issues?

3. Future-casting

Lastly, it is useful to ask yourself three “How might” questions about your innovation.

  • How might this project fail?
    • For whom? Under what conditions?
  • How might we learn about what we’re doing while we’re doing it?
    • The evaluation and reflection metrics, measures, and processes in place to learn what works and doesn’t as you go.
  • How might things change beyond our control?
    • Possible surprises that might sidetrack your plans (e.g., pandemic, government change, policy change).

These simple set of questions can produce an enormous amount of data for you and your team. In just a few hours you might save years of pain and problems and see beyond the fence into the pool of opportunity beyond.

Want help in seeing things differently and asking better questions in your work? There are some simple steps that can help your team see things that others can’t. Contact us. This is what we do.

we’d be happy to help.

Using Theories for Change

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The concept of Theory of Change is meant to provide program planners and evaluators with guidance on how to make sense of the mechanisms that guide how something transforms. Theory of Change as a technique is usually visual, participatory and consultative in nature, and is something that is developed alongside the program itself. What is given less attention are the change theories that underpin a Theory of Change.

Confused? You’re not alone.

Clarifying this is critical if your Theory of Change is to have any meaning.

Change Theories & Theory of Change

Change theories are based (largely) on psychological and sociological evidence applied to human behaviour at different levels. These levels include:

  • Individuals
  • Groups (e.g., teams, families)
  • Organizations
  • Communities
  • Societies & Systems

Some change theories will apply at all of these levels, while some are designed more specifically for a specific level. For example, Kotter’s 8-step model for leading change is primarily an organizational change theory.

Change theories are meant to describe what is to change and explain how change is to come about. These serve as the bedrock for what a Theory of Change is meant to convey. A Theory of Change links the structures and resources tied to a specific program, unit, or process with various change theories to explain why it should facilitate transformation.

Design Considerations

While we might have a viable change theory, we might not have a strong design. We often see organizations that seek to make changes that their programs or policies were not designed to accomplish. For example, cognitive rational change theories are built upon the basic assumption that knowledge informs attitudes and beliefs which influence behaviour.

If your program or service doesn’t have a design that facilitates information accessibility that allows your end user (those who are the focus of your service) to understand and use that information, it’s unlikely we will see change. Just-in-time knowledge delivery (e.g., doing a Google search) implies that people have the means (e.g., tools and technology), the literacy, the skills, and the opportunity to access and use that knowledge, otherwise it’s not likely to facilitate change.

Being able to locate a family doctor isn’t useful if you can only do it at a time and place when such a professional isn’t needed.

Theories of Change can help us plan our programs and service offerings and plot the points of impact, but without good change theories and design considerations it’s quite possible we won’t achieve what we set out to do.

Want to learn more about how to develop Theories of Change and what an understanding of social and behavioural science and design can do to help you learn and create impactful programs? Contact us. We’d love to connect.

Creating Design Pathways for Learning

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Capturing learning requires a focus on the journey, not end. Thinking like a designer can shape what we learn and how.

Learning is both a journey and a destination and it’s through recognizing this that we can better facilitate intentional, deliberative learning to support innovation and development. By approaching this journey through the lens of service design — as a design-driven evaluation — we can better design the data and insights that come from it to support learning.

What is learning?

Learning comes from perception, experience, feedback, and reflection. You first encounter something and perceive it with our senses (e.g., read, observe, hear, feel), experience something (e.g., movement, action, tension, emotion), which gives you feedback about the perception and experience that is synthesized through reflection (e.g., memory, comparison with related things, contemplation).

Evaluation is principally a tool for learning because it focuses our perception on things, monitors the experience, provides the feedback and can support reflection through offering a systematic, structured means to makes sense of what’s happened.

Evaluation is simply the means of answering the question “what happened?” in a systematic manner.

For those developing an innovation, looking to change, or seeking to improve the sustainability of our systems, answering ‘what happened?’ is the difference between real impact and nothing.

Mapping the journey with data

A journey map is a tool that is used in service design to help understand how service users (e.g., clients, customers, patients, students) might encounter the service and system to achieve a particular goal. These can be displayed visually with great artistry (see here for a beautiful example of the Indigenous cancer patient journey in BC) or simply with boxes and arrows.

It is one of many types of maps that can be created to illustrate the ways in which a user might navigate or approach a service, decision, or pathway to learning.

For innovators and evaluators, these tools present an opportunity to create touchpoints for data collection and deeper understanding of the service throughout. Too often, evaluation is focused on the endpoint or an overall assessment of the process without considering ways to embed opportunities to learn and support learning throughout a journey.

We feel this is a lost opportunity.

Without the opportunity to perceive, gain feedback, and reflect on what happens we are left with experience only, which isn’t a great teacher on its own and filled with many biases that can shift focus away from some of the causes and consequences associated with what’s happening. This is not to say that there isn’t bias in evaluation, yet what makes it different is that it is systematic and accounts for the biases in the design.

Service design meets evaluation

Design-driven evaluation is about integrating evaluation into the design of a program to create the means for developing systematic, structured feedback to support learning along a service journey. One of the simplest ways to do this is to build a layer of evaluation on the service journey map.

Consider a detailed service journey map like the one illustrating the patient journey map cited above. Along this windy, lengthy journey from pre-diagnosis to the end, there are many points where we can learn from the patient, providers, system administrators, and others associated with the health-seeking person that can inform our understanding of the program or system they are in.

By embedding structured (not rigid) data collection into the system we can better learn what’s happening — in both process and effects. Taking this approach offers us the following:

  • Identify activities and behaviours that take place throughout the journey.
  • Provides a lens on service through the perspective of a user. The same service could be modelled using a different perspective (e.g., caregiver, healthcare professional, health administrator).
  • Identifies the systems, processes, people, and relationships that a person goes through on the way through, by, or in spite of a service
  • Allows us to identify how data can fit into a larger narrative of a program or service and be used to support the delivery of that service.
  • Anchors potential data collection points to service transitions and activities to help identify areas of improvement, development, or unnecessary features.
  • Provides a visual means of mapping the structural, behavioural and social processes that underpin the program to test out the theory of change or logic model (does it hold up?).
  • Offers opportunities to explore alternative futures without changing the program (what happens if we did X instead of Y — how would that change the pathway?).

These are some of the ways in which taking a design-driven approach and using common methods from service design can improve or enhance our understanding of a program. Not a bad list, right? That’s just a start.

Try this out. Service design tools and thinking models coupled with evaluation can provide access to the enormous wealth of learning opportunities that exist within your programs. It helps you to uncover the real impact of your programs and innovation value hidden in plain sight.

To learn more about this approach to evaluation, innovation, and service design contact us. We’d love to help you improve what you do and get more value from all your hard work.

Photo by Lili Popper on Unsplash , Billy Pasco on Unsplash and  Startaê Team on Unsplash . Thank you to these artists for making their work available for use.

Paying Attention to our Work and Ourselves: A Disruptive Conversation

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Our principal, Cameron Norman, recently joined Keita Demming for a Disruptive Conversation as part of his ongoing podcast series. Listen in and learn about how mindfulness, design, psychology, and paying attention to our change efforts can improve what we do and how effective we are with what we do.

Stop Doing the Wrong Things Righter: A Disruptive Conversation with Cameron Norman

A New Year, A New Journey

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Light up your 2019

For some reason the number 2019 looks funny. It seems hard to comprehend that somehow we arrived at a calendar year that has these four numbers all together. It’s probably going to be even stranger to see 2020 come when we celebrate the new year at the end of this calendar, particularly when we look back on all those 20/20 plans that were generated to coincide with the year. How did they turn out?

As strange as this number is, nothing compares to the actual times we’re living in. Social complexity arising from human migration, transforming economies, technology, shifting social roles, climate change, and mass urbanization (to name a few contributors) means that we often find ourselves in places and times that feel strange. Strange-making is often considered to be one of the qualities of good design: it makes the familiar feel different by introducing new things — products, services, ideas — into our life.

For us, 2019 is going to be a very strange year for these reasons. We’ll be introducing a lot of new things that have been in the works for years. It’s time to — as Seth Godin implores any innovator, creator, or entrepreneur to do — ship.

We will be launching new products to help you understand, adapt, promote, and sustain positive change. There are going to be new ways to learn all about what change is and how to make it happen. We’ll also be providing new ways to get the support you need to do the work — to ship — your ideas and innovations (making change happen).

At Cense, change is what we’re all about. So as you change your calendar, your plans, even maybe make some new year’s resolutions, stay tuned and take us along with you.

Note: For anyone who’s looking to use the time that comes with the new year replacing the old, we’d like to recommend this simple, free downloadable booklet that is worth spending a couple hours with as you reflect on what you did last year and what you aspire to become this year. Thanks to the folk at Yearcompass.com for providing this resource. We hope it’s helpful to you.

Happy New Year and best wishes for a healthy, exciting, creative, and prosperous 2019 from us at Cense.

Photo by Ricardo Rocha on Unsplash