There is a greater need than ever to provide essential, affordable health services to everyone, regardless of where they live. Achieving this goal requires resilient, functional, and inclusive health systems. Human-centered design, and other creative disciplines such as systems thinking and strategic foresight, are well suited to formulate and strengthen such systems by providing a deep understanding of people and their needs, by actively engaging stakeholders throughout the development process, and by using a holistic approach to address the various factors that affect health and health related behaviors.

In this webinar, Artefact sits down with Tracy Johnson, Senior Program Officer at The Bill & Melinda Gates Foundation and Jumana Qamruddin, Senior Health Specialist with the World Bank’s Health Nutrition and Population Global Practice, to discuss how they are using various design and creative approaches to reframe challenges and refocus efforts to better ensure primary health care works for all.

We explore:

  • What are the factors that affect health and healthcare and how can we account for them when designing interventions?
  • What are some ways to operationalize design as a mindset and practice into an organization’s culture, structure, and processes?
  • How can we “right-size” efforts to integrate design to achieve the specific needs and goals of an intervention?

The UX 2030 Series

As emerging technology becomes an increasingly ubiquitous part of our lives, the design decisions we make today will shape how these technologies impact the world over the decade to come.

This series envisions how we might apply emerging technology in specific industries to create positive impact. We’ll explore what might accelerate or hinder these realities and the key risk areas and unintended consequences to consider.

Illustration by Laura Carr


A version of this article was first published in IoT Now.

Access to healthy food is a staggering problem in the U.S. Some 19 million Americans live in food deserts, while up to 40% of food produced in the U.S. goes to waste. Moreover, the production, transportation, and distribution of food is the fifth-highest contributor to greenhouse gas emissions in the country. It’s clear that the existing food system faces an overwhelming efficiency problem.

Growing food is a reasonably well-understood science that humans have iterated on for thousands of years. Yet despite advancements in technology, agriculture is still one of the least digitized of all major industries, according to McKinsey. There is enormous opportunity to combine agricultural technology with the proliferation of the Internet of Things (IoT) to improve access to food in underserved communities.

We imagine a 2030 where IoT-enabled circular food production democratizes agricultural skills, improves efficiency, and can be personalized to meet community needs. These community solutions would augment – not replace – the existing agricultural system, providing supplementary access to healthy foods to those most in need.

So how do we get there – and what risks will we face along the way?

More accessible, efficient, and personalized food production

IoT has the unique ability to integrate and automate tasks that would require significant expertise or time, greatly improving efficiencies and offering novel ways to personalize experiences. As IoT evolves over the next decade, how might this technology help improve access to food?

Democratizing skills

While existing personal and community gardens have an important role to play in food access and urban development, they can be unrealistic to scale. The knowledge and work required to sow, tend, and harvest food at the right time and in the right way every day is a daunting task for anyone, especially those living in food deserts or underserved communities.

An automated IoT system could address this challenge by bringing specialized farming knowledge to laypeople. Imagine a communal rooftop garden on an apartment or commercial building where healthy produce can grow throughout the year. Yet rather than the people living or working in the building tending to the crops, the garden would be managed by a web of sensors, automated watering systems, and robotics for tasks such as sowing, pruning, and harvesting.

Specialized sensors could take on specific tasks of measuring watering levels, soil nutrition, as well as plant ripeness and health. With IoT sensors and fully connected system-on-a-chip (SoC) devices continuously becoming cheaper, a monitoring device could be deployed for nearly every plant on a rooftop garden. This means the time-consuming task of tending to plants can be carried out by inexpensive electronics rather than humans, reducing barriers to access and allowing more people to participate in, and reap the benefits of, urban farming.

Improving efficiencies

Humans are increasingly developing novel and more sustainable ways to farm that involve less – or better managed – water, light, and soil. Combined with the possibilities of machine learning to identify the best time and manner to tend to and harvest plants, by 2030 we could establish robust farming operations in almost any location.

As systems of IoT-enabled devices and sensors work together in harmony to measure water and nutrient levels for each plant and communicate with connected pumps and other delivery systems, machine learning can aggregate these vast amounts of data and drive inputs which ensure ideal growth conditions. Rainwater collection systems, coupled with weather prediction models, could determine optimal watering schedules. Devices might direct the sun throughout the day to plants that need it most, or capture sunlight itself and store its energy for cloudy days.

An IoT-enabled system layer can manage the individual technologies used to grow food and organize which gardens might be best suited for which plants based on growing conditions inherent to its location and predictions for the needs of the people living in that community.

Community personalization

The connected and automated nature of IoT is well-placed to help determine a community’s real-time food needs and provide personalized distribution.

Just as the IoT system in aggregate could predict climate and resulting crop yields, it could also determine consumption patterns based on daily habits and anticipate the irregularities of a family and community’s schedules. Machine learning could detect patterns and anticipate food supply needs across a community, in order to allocate space to the produce in highest demand and efficiently distribute available produce within the community. A fully automated, communal garden could also be connected with other automated gardens, allowing for win-win sharing of crops and eliminating surplus that might otherwise go to waste.

Multiple communities could together make up a large system of interdependencies that can optimize the use of technology while distributing up-front costs across different investing areas. Even greater impact could come from partnering with existing local organizations such as food banks and community centers.

Addressing risk areas

Implementing such a complex, interconnected solution requires not only an understanding of human needs and technological constraints, but also the broader economic and social impact.

Cost

While the cost of IoT technology is continuously decreasing, the overall costs of establishing such a system are still significant. There unfortunately aren’t many examples of new technology adopted by underserved communities first – typically, those who can afford it create the economies of scale that make the technology accessible to a wider audience. Depending on population and density, a system such as this might not make financial sense for every food desert or underserved community – for example, distributing infrastructure costs may work for thousands of apartment dwellers but not for a hundred small-town inhabitants.

However, we have to look beyond the short-term investment costs and consider the long-term benefits of this system that other industries and stakeholders might find valuable. Start-ups like AeroFarms and Vertical Harvest are already leveraging technology to bring vertical farming to urban communities in the U.S., and governments are taking note as well: Singapore aims to triple domestic food production by 2030 through the use of technology-backed systems like multi-story urban LED farms and recirculating aquaculture systems. Industries from retail to healthcare could see a case for pursuing the positive long-term health outcomes of providing people with access to healthier food options. 

Privacy

Any system that relies on tremendous data collection in order to fuel machine learning models needs to be fortified against misuse of data and have a clear perspective on who retains control of it.

A highly interconnected system of IoT devices, robots, and machine learning models raises concerns about how privacy and user consent would be managed. Would people or communities be comfortable sharing their food consumption habits? Who else would have access to that information?

Privacy concerns may also be more significant for some communities than others. Lack of trust in government and centralized organizational bodies may be a barrier to adoption of a system that assumes people would be comfortable letting something as personal as food be handled by robots that are invisibly managed. Care must be taken to co-design such as system with members of the community, educate them on how it works, what data is collected, and how community members are empowered to control it.

Behavior Change

Access to healthier foods alone does not ensure that people will use them. What we eat is a very personal decision with social, cultural, and educational impacts. How might systems like this change the relationships people and communities have with food? Could these systems support existing community organizations and resources that have a strong understanding of their communities’ unique needs? At the individual level, could they help people live and eat healthier?

Providing healthy produce is only one aspect of systemic change that helps people build new, sustainable eating habits. There will be a need for instruction and guidance in terms of nutrition, recipes, and motivation in order to encourage behavior change for those with busy schedules or no awareness or interest in adapting their lifestyle habits.

Designing with, not for

IoT represents a unique opportunity to solve some of the inefficiencies of food production and distribution, and with that, the ability to address inequities in food access.

Nevertheless, there are important challenges involved in creating an infrastructure that impacts such an important aspect of what we as humans need to survive. As designers, it’s critical to engage with communities of use when considering such systems, elevating their needs and lived experiences, and ensuring that we design with, not for, them. Moreover, we need to approach such problems with a systems-thinking mindset that considers all people and groups potentially affected by the change, whether they ever come in direct contact with it or not.

It’s a difficult challenge, but an imperative to avoid unforeseen consequences and design for preferable outcomes. In leveraging this responsible design approach, we might imagine a future where IoT is used not only to bring healthy food closer to underserved areas, but bring people closer to each other, as a community.

The pandemic has demonstrated the healthcare industry’s ability and appetite to adopt models of care that meet patients where they are – whether online, at home, or in the community.

In this webinar, Artefact sits down with Sara Vaezy, Chief Digital and Growth Strategy Officer at Providence and Dr. Shantanu Nundy, physician and Chief Medical Officer at Accolade, to explore the innovative and accelerated models of care here in the U.S. that are impacting not only patients today but also the patient experience in the years to come.

We explore:

  • Opportunities and risks in distributed care models such as hospitalization at home; digital models such as telemedicine for behavioral health; and decentralized models such as subscription-based care
  • What these evolving models of care mean for the patient experience, their relationship with care providers, and greater health outcomes
  • How evolving care models that center the patient might support greater inclusion and equity, creating new opportunities to reach underserved populations

As part of SxSW EDU Online 2021, we sat down with Elyse Eidman-Aadahl, Executive Director of the National Writing Project (NWP), and Lukas Wenrick, Assistant Director of the Learning Enterprise at Arizona State University, to discuss inclusion in EdTech.

Discover the “ABC”s of EdTech inclusivity – Align, Build, and Contextualize – as we share an approach to developing inclusive, flexible, and human learning pathways and programs at any organization.

We explore strategies and lessons learned creating curriculum, programs, and delivery models for greater access, equity, and inclusion, and identify ways your organization can develop tech-enabled learning experiences that serve every student’s unique needs.

You need a design system. Yes, you. 

As a busy product owner working at a start-up or overseeing an established portfolio of solutions, we know the last thing on your mind might be putting precious time and resources toward another internal tool. 

Yet a design system is not only the single most effective tool to improve the efficiency of how you create, maintain, and innovate experiences, but you don’t need significant in-house design expertise to get started, either. Design systems have proven value for every organization, from start-up to enterprise. 

Having developed and evolved design systems for clients large and small across the tech, finance, and healthcare industries, we at Artefact have seen three consistent benefits that even a basic design system provides: saving time and money, delivering better product experiences and outcomes, and aligning stakeholders on a strategic long-term vision. 

Let’s dig into these three reasons design systems are important to your business and examples of how we’ve help clients leverage them for success.

What’s a design system anyway?

First, let’s take a moment to define what the heck a design system is. A design system is a set of strategic standards and documentation that accompany a collection of reusable UI and visual design assets that can be assembled together to build any number of applications. It is a living system unique to your organization that evolves and adapts alongside your product and business. 

To understand design systems, it’s often just as useful to define what they are not: Design systems are not style guides, they are not plug-and-play UI repositories, and they do not have to be crafted by seasoned in-house design teams. In fact, an external perspective can be a real asset to solving challenging, systemic design problems in unexpected ways by providing new knowledge, a more holistic strategic viewpoint, and an unbiased perspective to your organization.

1. Design systems save serious time and money

In the fast-paced world of digital products and experiences, collaborating on projects or onboarding team members is often chaotic – especially in a remote context. Whether you’re relying on a cloud content management system, a team Sketch symbol library, or a shared Figma file, lacking transparency or a common design language can lead to one-off solutions, inconsistency, and rework that drags out a project timeline – and budget. 

A design system helps your team design better at scale by unifying your brand across all products and platforms, alleviating communication and collaboration challenges, ensuring a smoother design-to-development handoff, and speeding up production to save you time and money.

Case Study: Canadian bank Tangerine partnered with us to create their Forward Banking digital brand, mobile app, and suite of digital banking features. While Tangerine had an established corporate brand, they were just building up their design capacity. We knew that Tangerine planned to create many new digital products in the years to come, and a design system would be essential to scaling efficiently. As an external agency, we brought the necessary skills and insight to help them organize around a cohesive design system and create guidelines and documentation for new feature and product implementation that would support the easy reuse of design components and logic as they continued to build their design practice. This set up the Tangerine team to more efficiently collaborate and scale in the future. 

2. Design systems deliver better product experiences and outcomes

As human-centered designers, our central focus is the experience of the people we design for. A design system helps establish UX deliverables that are rooted in real-world scenarios and tell a story about the people who will use the products we design. By balancing ideas with specific UI, a design system helps your organization create better products and experiences and informs stronger strategy for future projects. We consistently see the power of integrating design systems into UX projects that may not have explicitly outlined it as a deliverable. 

Case Study: We partnered with a software start-up to help identify product focus and improve the experience of their photo, video, and document storage and management tool. With an evolving new product and small but loyal user base, they needed to establish a product architecture that would allow them to add features and build on their product more seamlessly. We worked together to help them develop holistic design system primitives (typography, hierarchy, colors for wayfinding, etc.) and a UI component library that surfaced important questions across their product offerings and business, such as: How can UX improve product learnability as it evolves and expands? How will this selection pattern support globalization efforts? Should we create alternative data color palettes for accessibility? As an external voice, we brought a more holistic lens to developing a design system that helped the client gain focus and plan for the future of their product more strategically.

A design system helps balance the human (scenario-based views) with the technical (a library of components), in order to solve UX problems more proactively and systemically. It maximizes consistency from project to project and across new teams, helps you incorporate best practices around key design factors like accessibility, and can surface opportunities to create more extensible, accessible, and future-proof products and experiences.

3. Design systems align stakeholders on a strategic long-term vision

Design systems empower clients with little design background – or stakeholders outside of the design discipline – with the tools to talk about their product or brand. We’ve seen how design systems can be a powerful socialization piece for stakeholder alignment at both a product team and executive level, helping ensure consistency, reduce friction, increase speed to market, and reduce product risk. 

Case Study: We collaborated with a large, cutting-edge healthcare organization to develop several patient- and provider-facing digital platforms. Despite having a sophisticated portfolio of digital products and a large design team, they often faced pushback from stakeholders in marketing, brand, and industrial design departments, who each had their own product vision. A leader in their field, our client also had ambitious, long-term innovation plans for emerging technologies and multi-modal experiences that would require close stakeholder alignment for success. 

We helped the client develop a vision for a universal design system that serves as a common design language for the organization to align on and use to gain buy-in across their future initiatives. The vision was informed by both external trends and factors that would influence their product development in the coming years (such as multi-modal systems that account for multiple senses in order to better meet the needs of people with a range of cognitive and physical abilities), as well as perspectives from key internal stakeholders on their product priorities and how a design system would serve the needs of their discipline (for example, whether products should have distinct or unified brand experiences). We then developed a foundational design system for immediate implementation that laid the groundwork for bringing this long-term, universal design system to life.

As an unbiased external agency, we were able to transcend internal politics to create a design system that demonstrates how design decisions will impact products and strategy, and encourages thoughtful discussion on their business implications. In this way, a design system helped the client build a design culture with clear, transparent guidelines that not only simplified communication, but helped stakeholders align on a strategic vision and make better long-term decisions. 

Value today, impact tomorrow

Design systems are for every organization and product. You don’t need a large team dedicated to governing and managing it – just establishing a foundational design system that is manageable for your organization can help you create products faster and at lower cost, with better experiences and outcomes, and that are better aligned toward a strategic organizational vision. That’s the promise of a design system: it provides immediate value, while setting a foundation for strategic impact in the future.

Educators and students are increasingly engaging with digital learning tools and experiences, raising important questions around trust and inclusion in the remote learning context. As designers, educators, and curriculum developers, how might we create digital learning environments and experiences that build trust, empower students, and foster inclusion?

In this webinar, Artefact is joined by Maribel Gonzalez, STEM Integration Transformation Coach at Technology Access Foundation; Mike Deutsch, Director of Educational Research and Development at Kids Code Jeunesse; and Joe Sparano, 1st-5th Grade Technology Teacher at Charles Wright Academy to discuss designing healthier relationships between technology, kids and education; advancing equity in digital learning; and the role of technology in the future of education.

We’ll also explore the thinking behind Artefact’s Most Likely Machine digital learning prototype, the research that informed its design, and takeaways from its use in the classroom. Be sure to sign up for our Impact by Design event series if you’d like to join the next conversation.

Check out the resources shared by our panelists below, and be sure to sign up for our Impact by Design event series to keep the conversation going.

Artefact’s John Rousseau joined The Briefing.Today futures podcast to discuss responsible design, strategic foresight, and the evolution of the design practice. The interview has been edited for clarity.


Mattia Vettorello (The Briefing.Today): Designers create the many products, services, and applications that we interact with in our daily lives. Each new addition to the system means that known and unknown consequences will follow.

Today, I’m joined by John Rousseau to explore responsible design and systems in flux. John is a partner at Artefact and leads teams in strategic foresight and speculative design. Thank you, John for being here with me today, and welcome to the show.

John Rousseau: Thanks so much, happy to be here.

MV: We currently live in a situation where individual responsibility is key to the health of society at large. How do you define responsible design?

JR: Artefact thinks about responsible design in terms of a set of fairly big ideas that pertain to how innovation should happen. There’s responsibility, say, at a societal level in terms of just doing the right thing, broadly put. In terms of design specifically, it begins with being inclusive of multiple stakeholders. Traditionally, design was primarily concerned with the user, and I would say that it’s still largely concerned with the user. But when you focus just on the user, you miss a lot of other stakeholders in the system. You miss people who are impacted by the things that you make, you miss the broader societal impact, and you miss the planetary impact.

The first aspect of responsibility is really just being stakeholder centric. Beyond that, it’s thinking about all of the ways in which stakeholders are impacted over time. So thinking about things in terms of complex systems and root causes, how we might use design to shape preferable futures, and of course being cognizant of the impact we make, both now and in that long-term future.

MV: What I’m hearing is that we need to build in an extra layer when we design, looking not just to design for a few months or years from now, but introduce a future layer. That’s where the responsibility comes in. Understanding what the consequences could be.

In practicing responsible design, is the designer responsible for what she or he designs? Or is responsible design designing something that lets users be responsible for their own actions?

JR: Traditionally, designers haven’t had a lot of responsibility – or taken it – because they mostly work on behalf of others who commissioned them to do something. The designer is merely a cog between an organization or corporation that wants to accomplish something and an end user of that thing.

What needs to shift is both designers feeling like they actually do have some responsibility for the outcomes they’re creating, but also recognizing that that responsibility exists in an ecosystem of others. It exists in partnership with those that are commissioning, responsible for funding, or benefiting from the work, as well as those on the other end who are consuming and using it.

If we took something like social media as a product, we could say “Nobody is forcing anyone to use social media, so it’s a user problem.” We could also say, “A lot of aspects of social media are designed to be addictive on purpose, so that’s a designer problem.” Or we could say, “The business model of social media is corrupt because it’s based on monetizing attention and that’s a business model problem.” All of these things are different layers of the same problem, which is to say that the design itself can’t be responsible unless all of those components in the system are thought about in a responsible way.

MV: I really like when you say all these aspects should be seen and designed through a responsible lens. Human-centered design is itself limited by the human. It gives centricity to the human, when we need to look at things from a complex, systemic perspective. What’s your opinion on moving the focus from just human-centricity, which is quite static, to enlarge it to a systems perspective? We can call it system-centric design or ecological, bio-centric design.

JR: I really like that framing, but I think that we’re probably a long way away from it. In large part because of the fact that designers still exist in this intermediary space between corporation/entity and user.

In the future, moving toward a more ecosystem view of how design functions will be required. That will by necessity mean that we have to reinvent the processes of design, the concerns of design, and the business models of design. A lot has to change in order to work that way and think that way. We would need to think of design as a continuous activity that is continuously adapted to an external environment. That means that we have to get better at looking forward in terms of how we anticipate the external environment changing; it means that we need to get better at anticipating unintended consequences, recognizing them when they exist, and then adapting or pivoting; and it means that we need to get better at adopting a more adaptive set of behaviors, in general.

If there’s reason to be optimistic about that, it’s in part due to the fact that design has become an internal competency within many organizations. In the old model, where design was simply external, the corporation hired someone to design a thing and the nature of the relationship created a condition where the design was done and simply handed off and shipped. That mindset still exists even though design is integral to many businesses and governments today. What can change and needs to change is this sense of “done-ness.” Design needs to be engaged consistently in a pattern of prototyping, measuring, evaluating, redoing, envisioning, etc. It needs to be a more holistic and iterative process than it is today.

MV: What you’re saying is that design should be really integrated at the C-level. Strategy should go hand in hand with design. In that way, design can be adaptable or at the least the product or solution can adapt to change.

JR: There’s been a trend in design toward these kind of C-level roles like Chief Design Officer, and that’s a positive trend except to the extent that those roles reinforce existing power structures in hierarchies. If design remains the execution part of the enterprise, design will continue to have the same sets of problems that we’ve been talking about. The conception of design, in addition to the representation of it, needs to change. Those two things probably happen in concert – one can’t happen without the other. Design needs to become a more shared activity across enterprises and organizations in order to evolve into a more agile, ecosystem-centric, forward-looking set of activities.

MV: How can we democratize design across and organization and across people, rather than just using it to execute something? It’s more of a way of thinking, observing, coming up with ideas, and connecting them. System-centric or ecology-centric design means complexity and that’s not easy to talk or think about.

JR: I have a hunch that even when we use terms like “design” we’re not talking about the same thing. A big, broad term like that means a lot of different things to a lot of different people, in the same way that “strategy” means very different things depending on who you’re talking to.

I don’t know if it’s necessarily true to say that design shouldn’t be about execution or craft, because we still need to execute things and make things aesthetically beautiful and functional – all of the traditional concerns of design. Rather than asking, “does design need to be democratized?” perhaps there needs to be a new discipline that exists in parallel. A discipline that’s still design but perhaps more hybrid. It needs to borrow from economics and strategy, it needs to have a lens on the business model as well as the customer. It needs to have a lens on the future. It’s a different set of competencies than aren’t readily represented at most organizations today. Design itself needs to broaden its set of concern and perhaps some new adjacent discipline should emerge.

MV: What should we call that discipline?

JR: There are people working on that right now. There’s a program at Carnegie Mellon University right now called Transition Design which is about large-scale systemic change. There is the responsible design work that we are doing at Artefact, and lots of different people have adopted that vernacular.

MV: At Artefact, designers are taking a broader, systemic look at challenges and implementing solutions to drive change and innovation. As you said, design speaks to people in different ways and strategy speaks to people in different ways. How do you encourage companies to take up responsible design and develop solutions to challenges within their industry?

JR: The most important thing is to recognize is that it’s accessible. If I heard what I just said about needing a new hybrid discipline that exists on a completely different mental model, it sounds very intimidating.

Responsible design exists on a continuum, so even if you’re a designer who is primarily working in execution – say designing products for market – there are all kinds of ways you can bring a responsible perspective to what it is you do. It may be just by shifting your mindset a bit and thinking beyond the user. Who are the other stakeholders in the system? Have I thought about them? Have I thought about the impact of the product I’m creating? Do I have any agency over those impacts in terms of what I’m doing?

This movement toward responsibility will have to happen both in a top-down and bottom-up way. In the top-down way, it’s senior people recognizing the need to make things more responsibly and changing entire processes and organizations in line with those goals. For individual designers who may not have that same degree of agency, there’s still a lot that one can do. I think the trick is to find the small ways to move toward responsibility and actually seek it out, as opposed to waiting for permission to bring it into your work. I see this happening already in many different places.

MV: It’s always better to ask for forgiveness than for permission.

JR: That’s a rule to live by in design.

MV: Artefact also practices strategic foresight. The COVID-19 situation has seen uncertainties increase exponentially for everyone, from individual to organization. What is the connection between design and strategic foresight and how do you implement that in your design practice?

JR: Humans have always thought about the future and the professionalization of strategic foresight has been around for at least 50 to 70 years. In terms of its integration with design, Artefact began to move toward it largely because we were looking for ways to be more responsible and to think farther ahead. It was clear that there were a number of instances where the tech industry had not done a good job of anticipating future consequences, and the mental model was, “We’ll build it and see what happens, things more or less work out.” It became clear to us that that was a failed way to think about how the world works.

Strategic foresight provides a pretty ready kit of tools that allow us to think creatively about the future, create more useful images of the future, and use those images in concert with the design practice to interrogate what it is that we should make and perhaps what it is we shouldn’t. By integrating foresight practices – whether it’s scenario-building or envisioning – into the design practice, we’re in a position to become better designers because we adopt a broader view of what is possible as well as a broader view of what should happen. In this way, we can better integrate our values into the futures that we are creating in ways that aren’t as readily accessible if we don’t think long-term.

MV: Sometimes it’s hard for a company – or anyone – to envision what the future could look, feel, and sound like. It’s very hard to put ourselves in the shoes of someone in 2030 or 2050. How do you demonstrate the power and benefit of merging design and foresight?

JR: The idea of designing for the future has been around for quite a while. Thinking back over the last decade of design consulting, a frequently recurring project type is “The future of X.” The future of work, the future of mobility, etc.

The traditional design firm would think ahead to what was technologically possible, try to envision future needs, and essentially create speculative representations of future products that were intended to inspire innovation internally: north star products, services, and concept cards for the future. A lot of this, while it was fun and interesting to do, was not always particularly rigorous in terms of developing a sense of the tensions involved in this future. Who are the stakeholders? What’s happening more broadly?

What we’ve been trying to do is add rigor to this process. As our clients have become more sophisticated in recognizing the existence and the value of foresight, we have been starting to get requests to do these “Future of X” projects in slightly different ways: to either take a broader lens, or explicitly create scenarios, or otherwise integrate aspects of longer-term futures thinking in a more rigorous way, with the innovation charter that we’re also often tasked with. That’s what’s different about doing this at a design firm as opposed to a foresight consultancy, because our job doesn’t really end with, say, the image of the future. Our job ends when we have a strategy and set of ideas that are meant to live within that future.

The secret superpower of design is the ability to make something tangible and to realize it in a way that isn’t just description. If I were to point to one weakness in the traditional foresight process, it might be that it relies on narrative and words, which are great, but not always sufficient. A lot of the speculative design practice is critical and not necessarily directed toward creating a better future. We are trying to take the best of all of those worlds and put them together in a way that creates new kinds of value. How do we think more creatively about the future in a structured, rigorous way? How do we blend that with innovation programs in such a way that we can think more creatively and orthogonally about what is possible and what we might make? And how do we turn that into something tangible, that hopefully is more useful to the organization because it’s grounded in a broader set of ideas than what we perhaps would have done in the past?

MV: That’s fascinating. I like your proposition of merging the two disciplines, where we don’t just speak to the narrative, but we act on those words and give a physical form to it, rather than leaving companies with utopian and dystopian futures but nowhere to take those futures.

JR: Exactly. The way we think of barriers or boundaries between disciplines today – the reason we have a separate discipline called foresight and a separate discipline called design and a bunch of sub-disciplines within that – is largely the result of the industrial revolution and the effect on the economy of dividing up knowledge and human labor into discrete categories. It’s worth noting that it hasn’t always been that way.

Many of the biggest breakthroughs in human history have come about as a result of hybridity – people who are combining different streams of knowledge together in novel ways. We shouldn’t be afraid of that. As designers, for example, we shouldn’t be afraid of being amateur futurists, and futurists shouldn’t be afraid of being an amateur designer. It’s really about looking more broadly at what is possible and choosing the methods and assembling the right collaborators that will achieve a novel result. There’s no reason to continue doing things the way we’ve always done them simply because that’s the way we’ve always done them.

MV: Exactly. We need responsible design in order to adapt to changing circumstances and systems in constant flux, but we need to adapt in an active way. By building stronger, multidisciplinary teams, we can design more resilient, responsible, sustainable solutions. Thank you so much, John.

The UX 2030 Series

As emerging technology becomes an increasingly ubiquitous part of our lives, the design decisions we make today will shape how these technologies impact the world over the decade to come.

This series envisions how we might apply emerging technology in specific industries to create positive impact. We’ll explore what might accelerate or hinder these realities and the key risk areas and unintended consequences to consider.

Illustration by Laura Carr + Paige Ormiston


With society seemingly more divided than ever, coming to a shared sense of reality, empathy, and purpose is a public imperative. While we often think of virtual reality (VR) in an entertainment or enterprise context, the emotional power and behavioral impact of the unprecedented realism VR environments of the future offer can create enormous opportunities for public education and consensus-building.

We imagine a 2030 where responsibly designed VR experiences are a unifying medium that help people understand complex circumstances and grasp the impact of invisible challenges through tangible, hyper-personalized experiences bolstered by technology like 3D environmental mapping, AI, and machine learning. So how do we get there – and what risks will we face along the way?

Tackling the tragedy of the commons

People have trouble comprehending slow, distributed change. If a process doesn’t happen at a pace or visibility that we can perceive, we may not believe it is occurring at all. The COVID-19 pandemic has shown us how many people find it hard to grasp the idea of a virus that causes preventable deaths and the impact of individual actions on transmission.

What if we could see someone breathe out virus droplets and the surfaces they land on? What if we could visualize first-hand how the virus spreads in enclosed spaces, and who would become infected or even die? What if that happened over the course of seconds, not weeks? And what if – rather than seeing the impact on anonymous avatars – you were experiencing this environment with your own family, friends, and coworkers? The evolution of VR can make this vision a reality.

VR is the captivating next frontier of data visualization. It has the power to make the intangible visible, and the consequences of action – or inaction – immediate. Just as the humble bar chart helped people compare the scale and relationships of numbers centuries ago, VR has the potential to communicate the effects of our actions not just on ourselves today, but on complex systems over time. Over the next decade, VR as a visualization mechanism will create opportunities for society to become educated on issues that are slow, complex, and require collective shifts in behavior – such as pandemics or climate change.

Visualizing the environment, emotion, and time

VR has the unique ability to manipulate environment, emotion, and time. As VR evolves over the next 10 years, it will be able to virtualize the real world into highly believable and persuasive copies. What good might we build with this technology?

Used responsibly and with intention, VR can bring alignment and consensus to contentious or difficult-to-understand topics. Imagine an educational VR game that teaches the impact of individual behavior on the outcomes of a global pandemic. The experience puts you into everyday situations in your own life and maps the direct impact of your actions on virus transmission. You take public transport, meet with coworkers, enjoy a couple drinks with friends at your favorite crowded bar, and go home to your family. At each of these points, you have the option to make a decision: Do you wear a mask? Do you get on the crowded bus? Do you sit indoors at the bar?

Environment

By 2030, VR will utilize real environments mapped in 3D with a level of accuracy that will make them essentially indistinguishable from the real world. We are already seeing a tremendous amount of progress in environmental mapping techniques and data, and what started as Google Street View is now expanding to map indoor environments as well. Consumer devices increasingly include depth-sensing cameras that can generate 3D representations of not only individual objects but entire buildings.

Moreover, VR is not constrained to the limitations of the real world. A VR environment could transport you from interacting with people on the ground to being literally high in the sky, observing how the other people who you interacted with go about their days. Perhaps your actions influence how others act after observing you. You can follow their decisions – good and bad – to see the role we all play in exhibiting responsible behaviors for the good of the community.

Emotion

VR also offers feedback at an emotional level – one of its most powerful characteristics. When integrated with other emerging technologies, VR environments can impact our emotions and behavior both in the virtual and real world. Recent advancements in generative adversarial network algorithms for machine learning have created convincing reproductions of images, speech, and gestures of real living humans, called deepfakes. What if we applied that technology to generating personalized characters in a VR environment? By reproducing the people you care about in VR, the emotional connection you have to the experience will be much deeper.

Time

Another key feature of VR is the ability to compress time, amplifying subtle changes into concrete impact. What if you could immediately see the results of your decisions, for example in an infection rate score that demonstrates which of your actions have the direst consequences and which have minuscule impact at scale?

Because VR has the ability to compress time into a fast-paced experience, you could re-live your day again and again, varying the choices you make. In this Groundhog Day-like experience, the immediate feedback and ability to iterate on behavior can help you better recognize and learn the impact of your actions.

Addressing risk areas

Even if VR experiences are deliberately called out as “virtual” or “not real,” there is still a significant amount of “reality” that VR designers create with regard to how users experience and perceive these environments. The potential to significantly distort the truth raises several important ethical questions.

Misinformation

It is obvious that the ability to influence better behavior through manipulation of environment, emotion, and time may be used to influence people to commit bad behavior or actions that are not in their interest. We must assume that the existence of powerful technology means that it not only can, but will, be used for malicious purposes. The false information that is easily spread across social media today shows us that we can’t assume audiences will recognize truth from fiction in digital contexts. When VR is nearly indistinguishable from the real world, then those to whom “seeing is believing” are easily radicalized.

As designers and technologists, we need to hold ourselves accountable to responsible use of technology like VR. Creators of platforms that distribute and enable VR content must also establish content standards and ratings that flag inappropriate experiences or those that distort reality in ways that would have negative consequences. Twitter’s decision to flag misinformation surrounding the 2020 election is one example of an attempt to balance preventing the spread of dangerous misinformation while enabling ambitious goals of free speech.

Critically, as a society, we must teach and practice media and digital literacy, and foster the critical thinking skills to question the motivation of technology products.

The ethics of emotional manipulation

Simulating real humans through machine learning algorithms (like deepfakes) is already highly controversial today. Amplifying this in a VR context to influence people on an emotional level must face even more ethical scrutiny. Is it ethical to exploit people’s emotional attachments in order to influence their behavior? It seems that anti-smoking, anti-drunk driving, and even social impact campaigns already believe it is.

Yet it is challenging to argue that the preferable outcomes would in all cases justify the means. It may also be falsely based on the assumption of having a full understanding of what the truth is at all times, which we know isn’t always the case. If we manipulate people to behave in a way that we understand is preferable, what if that understanding of what’s preferable changes? Emotional influencing is not something that can be easily reversed once it has happened, so we have to proceed with caution, to say the least.

Data privacy

Data privacy is another critical issue that a VR environment based on the real world exacerbates. Is it ethical to use personal data about humans and environments to influence behavior? Where is the data gathered from? How would someone consent to having themselves or their home recreated by an algorithm in VR? What about shared or public spaces like your favorite bar or park?

Governments have begun introducing regulation in an attempt to address data protection concerns. For example, California passed a law in 2019 that prohibits distributing manipulated videos of political candidates within 60 days of an election. The question remains, however, of how enforceable such laws might be in practice, particularly as emerging technologies scale.

VR as a unifying medium

Historian Melvin Kranzberg’s First Law of Technology famously states, “Technology is neither good nor bad; nor is it neutral.” To realize the educational and unifying power of VR, we must recognize that it is our collective responsibility as designers, technologists, regulators, and consumers, to create and leverage VR experiences that align with our individual, societal, and collective good. We believe we can aim higher together and responsibly harness emerging technology to tackle the most pressing issues of our time and create a preferable future.

Credit: The Gender Spectrum Collection

Photo credit: The Gender Spectrum Collection

The issue of inclusion has been central to the transformation of healthcare in 2020. While the COVID-19 pandemic accelerated advancements in telehealth that brought greater and safer access to care to many, it has also exacerbated existing inequities faced by vulnerable populations such as seniors; people experiencing disabilities; Black, Indigenous, and People of Color; LGBTQ+ individuals; non-English speakers; and those living in poverty.

Some 25% of Americans may not have the digital tools or literacy to access telehealth services, a population that often intersects with racial groups that face disparities in health and care. For decades, minority populations in the U.S. have received lower-quality health care than their white counterparts across comparable socioeconomic, age, and health statuses.

The complexity of the healthcare system makes change feel daunting at best and insurmountable at worst. While the system is slow to evolve, introducing more inclusive improvements in healthcare can create positive incremental change at a human level.

Artefact Strategy Director Felix Chang joined the Innovation Learning Network, Centura Health, and Design Thinking Exchange (DTX) for a digital exchange discussing how to foster a culture of inclusion in healthcare. With participants spanning Kaiser Permanente, Philips Healthcare and LA County Department of Health Services, the session explored actions that innovation leaders can take to create more inclusive health systems, products, or services. These were the key takeaways:

Strengthen processes and teams

Look for opportunities to integrate inclusive values within your organization at a process and intervention level. Are there ways to embed inclusive practices in workflows, tools, and existing partnerships such as patient advisory councils or cross-discipline decision-making?

When developing interventions, consider how to ensure diverse research participant composition, avoid making assumptions about patients, and take communities of use as experts in their experience. For example, the Group Health Research Institute introduced elements of co-creation by establishing a patient panel to guide the process of developing their SIMBA decision aid. The tool helps breast cancer patients better understand and make informed decisions on their breast cancer monitoring options. As part of the experience, patients are prompted with questions to capture their values and the factors that are most important to them (such as procedure risks, duration, and cost), giving them the agency to personalize their experience and prioritize what matters most in their specific situation.

Promote accountability

Developing a culture of inclusion is only effective when it is a shared responsibility. Establish explicit definitions, commitments, and plans to ensure transparency and actionable benchmarks.

This could be at a department, project, or initiative-level, such as setting quantifiable standards for more inclusive stakeholder and patient groups in planning initiatives, giving feedback on processes when in place, and prioritizing what to improve.

Good data mining and benchmarks for measurement can help identify gaps and areas that need more focus.

Normalize inclusion at a system level

People often avoid deviating from the norm, and working toward systemic change can be overwhelming. By sharing best practices, learnings, and case studies of success, you can begin to normalize a common culture of inclusion across your team or organization.

Create excitement and interest by spotlighting inclusive work in your team or field. How might you establish a system of shared successes and lessons learned? For example, The Bill & Melinda Gates Foundation and Gates Ventures developed the Exemplars in Global Health platform, which gathers public health data and performance outcomes across the world in order to share best practices and learnings within the public health professional community. What would a similar practice look like for your team or organization? What are other examples from outside the healthcare industry that show the measurable impact of true inclusion?

Consistently celebrating how your organization and others are adopting inclusive practices creates a sense of community and shared purpose that can support continued action.

What action will you take?

Creating change in an entrenched system is neither quick nor easy, but each of us must take steps in our roles and spheres of influence that together can contribute to a sea change. By strengthening inclusive practices in teams and processes, promoting accountability, and normalizing a culture of inclusion, we can start to take important steps to creating healthcare experiences and outcomes that serve all people.

It is hard to imagine that it has been over a year since Business Roundtable released a revised Statement on the Purpose of a Corporation. For many, the question was whether these statements and others in the same spirit truly represented the beginnings of a fundamental shift toward stakeholder capitalism, or whether it was all an exercise in PR. Then came the pandemic, widespread social unrest, and a declining economy, all wrapped in the unrelenting uncertainty of 2020. By Fall, the initial report card was mixed: early research found that signatories had not made significant progress toward these goals compared to peers engaged in business as usual.

One explanation is that transformational change frequently encounters obstacles in terms of organizational readiness, priorities, scope, and timing. It simply takes time. Consequently, even as leaders and the zeitgeist have embraced the vision of stakeholder capitalism, many organizations may lag behind in terms of their capacity to act on otherwise good intentions.

As we look ahead to 2021 and beyond, we believe that firms will need to demonstrate more concrete actions toward stakeholder centricity and a commitment to preferable futures – both in response to increasing external pressures and as a means of making organizations more resilient in the face of continued uncertainty.

So, how might we do that?

Designing a more responsible future

Human-centered design (HCD) is a starting point. Traditionally, this has meant engaging stakeholders and users, identifying challenges, unmet needs and opportunities, co-designing and prototyping solutions, and iterating throughout execution and delivery. As a first step toward stakeholder centricity, integrating more human-centered processes is a proven approach to creating more meaningful and relevant products, services, and interventions. But it’s not enough.

On its own, the strength of HCD is also a limitation. A disproportionate focus on users can create critical blind spots and limits our ability to consider impacts to other stakeholders. This can lead to the sort of significant negative externalities that we experience from products and services every day – for example the effects of social media on political polarization, the gig economy as a contributor to income inequality, delivery services and the environment, and so on. In each case, exceptionally good solutions lead to negative effects. Indeed, almost everything we make creates a long cascade of systemic impacts that shape the world around us, both immediately and over time.

Moving toward a more fair and inclusive form of capitalism will require that design and innovation leaders adopt a more holistic approach to shaping the future. In our own work, we have built on the strong foundation of HCD and expanded the definition of stakeholders to include users as well as others impacted by a product or policy, the commons, society as a whole, and even the planet. We also advocate a long-term perspective that brings futures literacy into the innovation process. This approach to stakeholders and futures requires the development of new mindsets and methods adapted from multiple disciplines – systems thinking, business design, foresight, and ethics, among others. We are calling this integrated approach to stakeholder centricity “responsible design.”

Responsible design means the products and services we create should account for impacts to all stakeholders – today and in the future.

The current state of responsible design

Responsible design is an emerging discipline, though we see evidence of the trend in movements related to ethical technology, the circular economy, healthcare, design for social change, and elsewhere. Even so, we wanted to better gauge whether these ideas were becoming mainstream in large organizations, and whether firms were investing time and resources in responsible design as a path toward corporate purpose and/or stakeholder capitalism. To answer this question – and to better understand potential barriers to change – we surveyed a group of 50 senior leaders in design and innovation, drawn from multiple industries including technology, healthcare, pharma, retail, and mobility.

Long-term thinking and outcomes-focused design

We asked participants to rank a series of responsible design attributes in terms of whether their organization would value it highly or not at all. These included “taking a long-term perspective,” “being cognizant of the wider impact of solutions,” “working toward preferable futures,” “understanding complex systems and root causes,” and “being inclusive of all stakeholders.” Using the same attributes, we then asked whether firms were devoting more or fewer resources to each compared to five years ago. Notable findings include the growing importance of thinking and planning in long timescales, and the importance of being more cognizant of impacts – both of which run counter to the “move fast and break things” ethos of the previous decade.

Stakeholders in theory vs. practice

Participants also ranked “inclusive of all stakeholders” as the least-valued and lowest-trending attribute, suggesting that stakeholder-centric thinking remains emergent compared to the more established mental models and practices of human-centered design. While there seems to be recognition that stakeholder capitalism itself represents a worthy ideal (60% of participants say that it is increasing in importance, when asked directly), our survey also revealed the lack of a common definition and a variety of interpretations of what it might look like in practice.

Barriers to organizational change

Other qualitative responses revealed a range of tensions between the attributes of responsible design and perceptions that such an approach would be slow, inefficient, or costly. Many organizations – particularly in technology – are aligned to values that may limit the near-term prioritization and adoption of responsible design (e.g., customer obsession, short-term results, data-driven decision making, etc.). This condition is exacerbated by differing priorities, incentives, and motives across departments and up and down the organization.

Looking ahead

Our research suggests that positive change is occurring and the trend toward responsible design and stakeholder capitalism will likely continue, particularly in light of the shifting global role of organizations and leadership amidst the larger backdrop of social, political, and economic uncertainty. As the pandemic has stressed so many global systems, we see an opportunity for new thinking and a more fundamental reset of business as usual. Now is the time.

We are also optimistic that the business case is clear, even as the transition to stakeholder capitalism is unevenly distributed and variously interpreted. Responsible design will enable firms to command greater influence over desired outcomes and actual impacts while better anticipating and managing risk. This will allow organizations to more effectively align corporate purpose, values, and actions, creating more durable brand value and attracting critical resources.

Lastly, we believe stakeholder centricity will change how we do innovation. It will be critical to better define the meaning of key mental models and concepts as a precursor to more ambitious organizational change. And we will need to create new tools and frameworks that help us do our work. This may take some time, and we should be patient in measuring progress toward these desirable goals, while continuing to advocate for change at all levels of the system.

A special thanks to Executive Creative Director Neeti Sanyal and Strategy Director Jeff Turkelson for their research support.