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Designing for Humans: Considerations for Innovators

2021-07-08 by cense

Over at our sister site Censemaking we wrapped up a series called Design for Humans. The focus of the series was on different considerations that we must make in the process of designing useful, impactful things for the world around us.

Strangely enough, we often don’t do a good job at designing for humans with our services and products. In the process of innovating, we make many assumptions about how the innovation will be received and the impact it will make.

There are reasons why real substantive change is actually very difficult to generate. Humans are difficult to work with and to influence and the more we can design for how humans actually live, think, work, and play the more likely our change-making efforts will yield positive results.

Deeper Research

One of the ways to do better design for humans is to conduct detailed research. This goes beyond a few focus groups or observations toward more fuller engagement with different audiences. Strangely, many of us actually don’t really know what we want. We think we know what we want or that we know how to articulate what we want.

Research in this context involves the time, care, and attention to who people see themselves and who they act as. This is about our imagined reality and our lived one. (The two intersect and diverge through our days and life).

Many of our purchases are based on decisions that involve aspiration, comfort, fear, convenience, ethics, and utility in different combinations. These are both our own and the ones that we adopt from others depending on our situation. Individual decisions are very often tied to collective ones. If we do not understand the different groups we are affiliated with or aspire toward being a part of, we lose much of what is known about what drives a decision.

If we do not take the time to understand who it is that we are speaking with or seeking to influence — their individual set of values, beliefs, and experiences — then we will create a ‘mass’ for a ‘mass market’ that is unlikely to be receptive.

Luck and Science

A great deal of impactful design is based on a dance between luck and science. Viral marketing campaigns are more brilliant in retrospect than in advance. As Tendayi Viki and Mitch Joel recently spoke about in their conversation on innovation, most great innovations look absurd in advance and clever in retrospect.

This means great design is about framing the ridiculous.

It also means ensuring that, practically speaking, we must consider the very way we humans think, feel, and live — which is often ridiculous to the outsider. Great campaigns and products tap into this.

They also are about luck. Designing for luck through great observation, research, testing (prototyping), and ongoing evaluation ensures that what we put into the world has the potential to succeed in making some positive difference, not necessarily that it will no matter how good it is.

Whether its luck, perception or something else we find ourselves recognizing that the gap between what we think is valuable and useful and what others think (or are willing to consider) is large. The Chasm illustrated above is real and rather than engage in a futile effort to design around it, we need to recognize that there are sharks in those waters.

That’s what they did in the film Jaws. When we design for that, we design for humans (and sharks).

If you’re looking to create something more human in your work and need help, contact us and we can help make sure you don’t get eaten by the sharks you’re swimming with.

Images by Business Illustrator used under license.

Filed Under: Design, Strategy Tagged With: design, foresight, innovation, strategic design, strategy

Seeing Futures: The Long Now Approach

2021-03-02 by cense

No one can see the future, but we can gain a glimpse of what might come and how what we are doing today might take us there by using this technique or tool called The Long Now.

The Long Now involves taking an idea that might be on the horizon or emerging and envisioning what it might look like when adopted and carried into the future. The approach is inspired by long-term thinking and gets us to frame ideas that might be attractive, threatening or unclear today and builds a future for them over time.

Designing with the Long Now

Identify a trend that is emerging and is likely to affect the near-future (e.g., 6-12 months). This could be anything within a STEEP-V (Social, Technological, Economic, Environmental, Political or Values-based trends) framework or something similar.

Now imagine that phenomenon coming into being. This means that children born today will only know the world with this in their lives. They and everyone else will grow up with, interact with, adapt to, adopt, and work with this ‘thing’ in their lives.

Imagine what kind of barriers, enablers, and circumstances will accompany this new thing.

Then imagine what it will look and feel like in five year increments as it evolves along.

To illustrate, consider those people who first encountered the Internet in the early 1990’s and then what it looked like as the decade moved on to the dot-com boom and bust, the dawn of social media, the rise of the app and mobile handset and so on. That’s a retrospective look. What you are doing with The Long Now is creating a prospective, visionary look.

Sketch out a series of snapshots at 5-year intervals that allow you to highlight and uncover ways in which this idea will interact with the systems — technological, social, cultural, and environmental — around it. (Five Year intervals are chosen because it’s enough time to see change, but close enough to be able to stitch together patterns of plausible development between them)

What this approach can do is help see threats, opportunities, and identify possible pitfalls, benefits, and choices that could affect the design of something moving forward. It also is useful as a means of assessing the plausibility or viability of something that is emerging. Could it be a fad or does it have the means to be adopted into the fabric of everyday life?

Taking The Long Now approach provides a small window into a much larger, unknown world ahead to help strategize, design, and anticipate possible futures.

Filed Under: Design, Toolkit Tagged With: design, foresight, futures, toolkit

Forecasting

2020-09-01 by cense

You might not have a crystal ball, but you can still envision the near-future by using a simple strategy called forecasting to plot your strategy for the coming months. Here is how.

Fundamentals

A forecast is a data-driven prediction of possible outcomes that can be used to generate scenarios. The first item required is data. This can be qualitative, quantitative, or mixed and from primary or secondary sources. Most often, forecasts are a combination of these.

Checklists have been found to be useful tools to help organize data that contribute to forecasts. Pull together those sources you have and then organize them in a manner that allows you to build a narrative — a story — of what has happened to allow you to better anticipate what might happen.

Forecasts work when there is some expectation of a linear progression from time to time (with some variation). Time series data — data gathered on the same topic/issue/item multiple times over in succession — is among the most popular sources of data. This will allow you to see patterns and spot trends that lead you to now.

Add Imagination

Once you’ve developed a model of the present situation, the next stage is to imagine what might happen in the near future. Forecasts are generally useful for predicting near-term (e.g., 3-, 6-, or 12-months) outcomes and are less useful for longer-term assessments.

Next match data from other sources — social trends, government policy documents, census data — to create scenarios. For example, seasonal trends can change the near term. ‘Seasons’ like ‘back-to-school’, holidays, flu trends, weather changes can all affect how present data can mislead us for future activities. The COVID-19 pandemic provided an example of the various ways in which an economy can re-open, a healthcare system can respond, and what ‘back-to-school’ looks like.

From these data points, work together as a team (this is always better done in groups because different people will see data differently) we can start to envision possible futures and outcomes.

Look for amplifiers and dampeners. What things might make an existing trend more pronounced and what might dampen that trend, or extinguish it altogether. In discussion as a group you can

Structuring Forecasts: Tips & Tricks

Begin your group work together with a few simple ‘rules’ to guide your discussion. Start with limiting any feedback or critique of ideas at the start. You want to explore why something could happen, not assess the likelihood of such activities at first. This opens our minds up to unlikely scenarios.

It’s helpful to have someone on the team who can play the role of the ‘black hat‘ – the person whose role is to illustrate why something won’t work. Edward DeBono’s ‘thinking style’ roles can be useful here in helping us structure a way to look at the data and ideas from different points of view. Building on these different perspectives, it’s important to build a variety of scenarios and attach a level of anticipated likelhood to them. (e.g., high, medium, or low) and timing (e.g., imminent, soon, long-term, etc..)

Build out as many scenarios as the data suggests might be useful. This is often three to five, but rarely nine or ten.

From these scenarios, ‘walk them back’ to the present using an approach of asking “what happened just before X” and repeating that of each answer until you find yourself at the present. This allows you to start building pathways of potential causality.

While it may be that none of the scenarios come into reality, there are likely to be pathways that resemble them. When you find these, your team can use those to examine the assumptions that you hold with each one of them and use that to develop a strategy around them to better increase your anticipatory awareness and adaptive capacity to learn and act.

Taken together, this method can help you to see what might be coming and plan accordingly. It is a powerful means to explore near futures and design your organization to be better suited to living in them rather than having to play catch-up.

To go even deeper, the Future Today Institute has developed this useful ‘Funnel’ model to guide forecasting that might be useful to you as well.

FTI-Funnel ToolDownload

If you want to develop forecasts, contact us. We can help you see what might be coming and design your team to better meet it.

Filed Under: Toolkit Tagged With: data, forecast, foresight, futures, methods

Innovation Design Quality Control

2020-08-12 by cense

You want and need help in transforming your organization or business line and are seeking a consultant to help you. What should you look for? Let’s look at questions and issues you may want to consider when starting an innovation journey.

We break it down into three (plus) areas: Design research and foresight, service development, and evaluation.

Design Research

Design research is about exploring the problem or circumstance that you’re looking to intervene in through introducing a new product, service offering, or policy (which we’ll refer to as an innovation).

Design research is much more than ‘doing your homework’ and is meant to work with any marketing and financial studies you may have done. Design research is about exploring your end-user(s) — both identified and potential additional users. Responsible design research is also about looking at who else your innovation affects.

It will incorporate systems thinking into the process by considering the various ways in which your innovation affects and is affected by the various interconnections around it. For example, your service might be tied to other things (e.g., supply chain, regulatory issues, community norms) and good design research will help articulate these and allow you to map and model systems using visual tools.

Your innovation design team should have skills in design and research and understand a variety of methods and approaches such as quantitative analysis, qualitative data collection, sensemaking (for innovations dealing with complex situations), and behavioural science. The last point — behavioural science – is what allows you to understand what, why, and how an individual or group will choose to engage with your innovation and serves as a foundation for the next stage of work: service development.

But first, let’s go a little ahead into the future to look at the other part of design research: foresight.

Foresight

Strategic foresight is an approach to research that looks at the trends and drivers that influence specific domains of interest like your market, community, or social life as a whole. It draws on a variety of data sources such as published reports, publicly available (or privately held — if you have access) databases, as well as a series of exercises and activities that allow you and other stakeholders to envision what possible futures might look like.

The UK Social innovation agency Nesta has a useful, accessible primer on some of the methods that are used to envision futures.

Future-thinking is important because your innovation will always be applied to tomorrow, not today. Sustainable, effective innovations are those that meet emerging needs not just present ones. Foresight considers how and why things might change and, when combined with strategy and behavioural science, allows you to shape the design of your innovation to better anticipate and (hopefully) meet those changes as they emerge.

Service Development

Service development can include everything from exploring the physical space where your innovation will be deployed to undertaking usability research on digital platforms. The range of practices associated with what is more commonly called service design are many and when enlisting support to design your innovation it’s critical to ensure you have the right talent.

Service design often seeks to develop models of your intended users based on the design research you’ve undertaken. This can result in tools such as personas that provide evidence-informed caricatures of your users that you can use to develop and test scenarios.

Service design methods incorporate visual thinking methods and tools and design thinking by exploring the research, developing ideas, testing and trying these ideas out in ways that inform strategy, and then deploying them into the world. Having a design team with skills in design methods, facilitation, and visual presentation will make this much easier.

Visuals can include everything from simple (but illustrative) maps like the image above to more sophisticated visual models, ‘gigamaps‘, and storyboards.

Evaluation

Last and certainly not least is evaluation. It’s one thing to design an innovation, it’s another to know whether it does what you think it does. Evaluation allows us to assess what kind of impact our innovation has on the world, what processes lead to that impact, and what aspects of our service, product, or policy are most likely influencing this impact.

It is through evaluation of our innovation that we are better able to fine-tune, amplify, or retract our offering to ensure it’s creating the most benefit and not doing harm. Evaluation also allows us to understand what hidden value our innovation might be offering, to articulate your return on investment (ROI), and to widen your perception of what your innovation does and could do.

Bringing in design firms that do not build in professional-grade evaluation to the project is like doing half the work. What good is your new product or service if you have little idea how or whether it works in the real world over time?

These are some of the things that anyone looking to develop an innovation in-house or with a consultant team needs to consider. We have a lot of resources on our learning page on some of these methods and tools as well as overall approaches to supporting groups in asking better questions prior to engaging a contractor.

This is what we do. If you want help with any of this and doing good, quality service design, design research, evaluation and foresight, please reach out and contact us. We’d love to hear from you.

Filed Under: Design, Research + Evaluation, Strategy Tagged With: design research, design thinking, foresight, strategic design

What Went Wrong? A Question For Futures Insight

2020-06-16 by cense

In five years, what did we get wrong?

This simple question can be a powerful vehicle for understanding the way in which things in the future might — and might not — unfold. Foresight is a complicated process as we are asking to see into a horizon that hasn’t yet taken place. Rather than predict the future, strategic foresight is about anticipating possible futures.

What this means is that it is possible — indeed, quite likely — that what we think will happen won’t come to pass as we thought. However, we might also foresee certain things that allow us to prepare. For example, we might be correct to see the growing trend toward working remotely while being incorrect about the reasons that drive it and the timing (e.g., pandemic).

All of these are based on assumptions about what we anticipate happening.

Asking the question about “what didn’t go right” or “what did we miss?” begins the process of allowing us to ask more detailed questions about our assumptions. It can allow us to identify where the areas of friction might be, the critical and less critical uncertainties about our models of the world lie, and what might have been missed as we envisioned the connection between now and the future.

Asking what we might achieve is useful. Asking what might go wrong is prudent. Ask them both.

Filed Under: Strategy, Toolkit Tagged With: foresight, research methods, uncertainty

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