2020: Decade of the drones|

2020: Decade of the drones

Unmanned aerial vehicles (UAVs) or drones are increasingly part of our everyday lives. Here, Adam Turner, Consultant Mechanical Engineer and drone expert at Cambridge Design Partnership, considers the future potential of this remarkable technology.

Here at CDP, we love innovation and disruptive technologies. It’s what we do. So, needless to say, I find myself hugely intrigued by the uses offered by drone technology. Where will drones go from here?

The drive to design an unmanned aircraft initially came from the military, for airborne missions that were too risky for humans. In recent times, however, drones have found peaceful uses in everything from wedding photography to rounding up sheep. As designers, here at CDP we’re pretty sure this is just the beginning.

Automated so they are easy to control, powered by (potentially) clean electricity with battery and motor technology progressing quickly, and with the opportunity to include artificial intelligence to allow fully autonomous operation, the scope for drones is enormous. Here are some applications we are excited about.

Drone taxis. There are plenty of big names like Boeing, and start-ups like Volocopter, working in this sector. For example, global taxi firm Uber is also creating a small, vertically launched drone like aircraft to offer transport within and between cities. For how long will there be a pilot on board? With the benefit of an app, you could order a drone to take you to work or out for dinner. Drone taxis potentially avoid city congestion and the noise and disruption of conventional helicopters. It’s simply a case of up, up and away…

Drone agriculture. Already, farmers use drones to check crops and livestock. In the future, I’m sure crops spraying drones, such as John Deer’s recent development will enter use.  Food productivity will surely rise, drones programmed to take a series of photos using different light spectrums will enable a farmer to track crop growth and spot any issues, leading to better yields and less agri-chemical usage.

Drone environmentalism. Already, an initiative by British firm Biocarbon Engineering to fight deforestation in mangrove forests using drones is proving much more efficient than human labour. The drone surveys and tests the soil, then drops pods containing tree seeds and vital nutrients. Beyond this, the environmental potential of drone technology is enormous. From preventing poaching of rare animals, tracking populations to tracking glacial ice, a drone can play a crucial role.

Drone cranes. The construction industry has already trialled drones to lift bricks and roof tiles into place on a building site.  Going further, drones that can lift hundreds of kgs are in development. If drones become ever larger, which we at CDP anticipate, could they then one day replace cranes as the go-to method of lifting building materials?

Drone inspection. Inspecting high rise buildings, industrial plant and infrastructure like electricity pylons and bridges, is already a cost-effective drone application. Be it using cameras or more specialist sensors.  We expect this to develop further as drone automation, and AI to detect faults, makes this even more attractive.

Drone shipping. Containers revolutionised the shipping industry in the 1960’s. Will drones be the next big thing in the transportation world? While they will always be significantly less energy efficient compared to ships and trucks, giant drones could deliver high value imports quickly from ports to distribution hubs, especially in areas where other transport infrastructure does not exist. Then at a micro level, drones might bring our packages to the door and solve that tricky ‘last mile’ delivery conundrum for companies like Amazon and UPS, who are developing systems at present. As well as the multi-rotor quadcopter, we are already seeing hybrid fixed-wing drones with longer flight-times and higher energy efficiency. Some are solar-powered, to partially re-charge as they fly, or powered from renewable fuels like hydrogen.

Drone fireworks. Human beings love a light show in times of celebration, whether it’s Guy Fawkes night in the UK or an awe-inspiring Olympic opening ceremony. For an eco-friendly, reusable alternative to fireworks, hundreds (or even thousands) of light-emitting drones can perform truly astonishing displays. US tech firm Intel has already put on some truly stunning drone displays at the Superbowl and at the Winter Olympics.

Drone rescue. On a more serious note, drones can literally save lives. In search-and-rescue situations, we already see crews using drones to spot survivors. Taking this even further, a drone could drop life jackets and rafts to people at sea, or food and medicine to inaccessible disaster sites. Rescue crews in Alabama used heat-seeking drones to search for survivors after a tornado in March 2019. Ambulance drones could deliver, say, defibrillators or EpiPen’s in cases where every second counts towards a patient’s survival.  Researchers are also looking at creating swarms of micro, autonomous drones whose group behaviour is designed to automatically search inaccessible spaces like burning buildings.

Drone crime. Anyone who has seen footage of drones delivering drugs into prisons knows that this technology has its dark side. Already, there have been reports of drones surveying neighbourhoods before a burglary. In terms of terrorism, disruption and smuggling goods or even people, drone tech presents the justice system with a serious headache. Just consider the disruption to Gatwick Airport in the UK by drones in December 2018 – the runway was closed for 30 hours, 1,000 flights were cancelled and 140,000 passengers stranded.

More recently, environmental protest group Extinction Rebellion tried to use drones to close Heathrow Airport but were foiled by signal-jamming technology. Terrorist or rogue state attacks using drones as weapons is another threat. I foresee that anti-drone technology will be an important field in the coming years and that the regulation of drones will become ever more important. In the UK, the Civil Aviation Authority have brought in compulsory drone registration for drones over 250g in weight. Will drones, like cars today, have number plates, insurance and MOT tests in the future?

Drone police.  As an antidote to drone crime, law enforcement use drone surveillance in place of expensive helicopters, where their ability to search large areas quickly can be vital to ensure public safety and to catch criminals.

Drone shopping. Need a loaf of bread? New shoes? A Venti Double-Iced Toffee Almond Nut Latte with extra cream? We may one day soon team up our internet shopping habit with sending our own personal drone to fetch our purchases from the retailer. Your supermarket shopping could be dropped off on your doorstep or in a code-secured locker outside your house. Forget a drive-in Macdonald’s, could there be a drone-in Macdonald’s?

Drone communications. Bringing comms networks to regions which lack the infrastructure for internet and cellular services could well be a next step for drone technology. The Zephyr programme from Airbus is already exploring this possibility, with a solar-powered high-altitude pseudo satellite (HAPS). Zephyr, a fixed-wing drone, can stay in flight in the stratosphere without refuelling for months at a time. Among its many possible applications is the capacity to bring connectivity to the remote communities worldwide. Let’s not forget that 4 billion people on the planet are still without the internet.

Drone sports. Already drone-racing leagues are springing up. Competitors wear headsets, so they feel as though they are sitting on the nose of a drone. It’s exhilarating stuff when the drone is flying at 80mph through tight, LED lit, 3D courses. The footage can be streamed too, in HD, making this a spectator sport. In another development, drone fans have been meeting up for air battles, adding paintball guns, lasers and even a flame thrower to their drones. Even in the most traditional sports drones are proving to be disruptive. In fishing for example, a drone is used to position the bait in locations previously impossible to access from dry land. What’s next? The sky really is the limit.

Drone exploration. A popular activity is to use HD camera equipped drones to expand your experience when exploring the great outdoors.  They provide a new perspective on famous landmarks, some amazing selfies and allow the user to go to places and explore where it is otherwise impossible.

Drone photography. It has become difficult to find a TV program with an outdoor theme that does not include a drone shot to set the scene or provide fantastic images of landscapes or wildlife.  Fast paced action and sci-fi scenes are filmed by drones to allow the viewer to get close to the action.  Drone photography categories in photographic competitions are testament to the opportunities this technology provides for seeing the world in new and creative ways.

Conclusion. It’s easy to fear that drones could shape a dystopian future.  This blog has steered away from drone applications that include weapons. The shocking, dramatized viral video created in 2017 by the Future of Life Institute made this point strongly, and generated a debate about the risks of combining drone technology with AI.  But here at CDP, we are optimistic and see drones as a powerful potential force for good. It is up to humanity to ensure that this is used wisely, and that is a question we all need to consider in the coming years. How things will turn out, of course, only time will tell.

Tip odds in your favour - Innovation odds|||

Tipping the innovation odds in your favour

Earlier this month I attended The Market Research Event (TMRE) conference in Las Vegas; the gambling capital of the world. Whilst I don’t think the juxtaposition between the conference and its choice of location was intentional, it certainly presented an amusing analogy between the dollars that consumers put into the slot machines hoping for big wins, and the billions that organisations spend on innovation hoping for market success. Depending on your point of view, you might think the punters in the casinos are faced with better odds!

However, organisations can tip the odds in their favour by investing in robust front-end innovation (FEI) through research, insights capture and translation, to uncover and define market opportunity prior to high-cost product development. Enabling organisations to achieve this is essentially the crux of the TMRE event.

Any conference related to innovation would not be complete without some mention of disruption, and this year’s event didn’t disappoint with AI and agile as key themes.

Disruption and AI

In this case the term disruption referred to disruption of the research and insights market itself. Prominent amongst the messages was the growing use of AI for research and knowledge management. As a front-end innovation researcher two examples grabbed my attention, AI-driven insight extraction and AI-driven research moderation.

AI data analysis of transcribed audio or video (such as that from depth interviews, focus groups and contextual enquiries) and native text (from sources such as online communities or social media scraping) can help to identify, extract and stitch key insight themes. This has the potential to significantly reduce the content analysis and coding ‘leg-work’ of qualitative researchers.

A step further is AI-based research moderation in which respondents are “interviewed” through software that engages in a one-on-one discussion – in written chat format – with research participants, gathering responses and following-up to expand the discussion. The benefit is the ability to reach-out to larger sample sizes than traditional qualitative research can accommodate, from both time and cost perspectives. An example presented by Clorox was recent work for their NeoCell collagen brand. In collaboration with Quester they deployed AI to uncover the many jobs-to-be-done of women looking to care for their skin.

On the face of it, these would certainly seem to be disruptive and make any qualitative researcher sweat a little about their vocation, however, in reality such technology is best deployed in harmony with the human mind rather than as a replacement. I was heartened that Kirti Singh, Chief Analytics and Insights Officer P&G, said during his keynote that “Every A&I (analytics and insight) professional at P&G has the ability to connect with people directly.” Human interaction is not only encouraged but viewed as an imperative in understanding customers behaviour and needs. For every AI application that will tell us the ‘what’, we will likely – at least for some time yet – require the human mind to join the dots and explain the ‘why’ that drives successful innovation. Empathy and storytelling still remain the domain of the human.

Agile

‘Agile’, and particularly ‘lean start-up’ innovation processes encourage large organisations to behave more entrepreneurially and have been prominent for some time. However, their application at the research and insights phase is now gaining momentum. Amongst many examples at TMRE, Cargill Protein deployed the jobs-to-be-done innovation perspective to ground rapid co-creation of new restaurant dish ideas with chefs, followed by prototyping and testing, in six weeks.

At CDP we undertake similar ‘innovation sprints’ facilitated by our Insight for Innovation and Design teams. Depending on the nature of the market and appropriate MVP (minimal viable product, either paper, physical or digital), these can be implemented within one or two weeks. When undertaken in-field, such rapid turn-rounds provide validated insights without the need to re-visit markets for concept testing; often a costly process. Where required, higher fidelity prototypes can be produced in our state-of-the art 3D print-studio, workshop and electronics lab.

More generally, key to CDP’s approach to insights capture is to first understand our clients’ business and innovation needs (we like to practice what we preach!). Being purposefully methodology-agnostic, we are then able to design a programme of research that will meet objectives within appropriate timescales and budgets; be that a large-scale global qualitative and quantitative study, a lean qualitative exploration, or a rapid sprint approach, using artificial or human intelligence! We believe that ultimately it doesn’t matter exactly what consumer, customer or stakeholder engagement journey you take, just be sure to take one. That way next time you look to innovate in your market, or maybe move into a new one, you can find out where on the innovation roulette wheel you are wise to place your chips.

Separating new value from clinical trials

Separating new value from clinical trials

Clinical trials are extremely expensive and yet potentially useful information is routinely discarded when conventional methods are used for processing blood samples. Microfluidic technologies offer ways to collect additional biological data from the samples collected and hence deliver much more clinical and potentially financial value from each trial.

It’s well known that pharma clinical trials are extremely expensive to run, typically costing over £10,000 per patient [1]. A routine aspect is the collection of blood samples and analysis of the DNA, RNA and proteins within them. The information is used not only to measure the outcome of the trial, but to collect additional information on how the disease develops, and hopefully, to find new biomarkers that can monitor how the therapy interacts with, the disease processes.

Often methods used to prepare blood samples focus on harvesting one specific biological entity and consequently destroy other components. For example, current methods for collecting DNA will also destroy free proteins, other methods filter out and discard all cellular entities when harvesting cell-free DNA, or else they will discard all other biological components when isolating exosomes [2]. This is wasteful as each blood sample could potentially contain extremely useful clinical information about the disease’s processes and the impact of the therapy, including genomic DNA and mRNA from leukocytes, circulating cell-free DNA, microRNA from exosomes, mRNA/genomic DNA from circulating tumour cells and proteins in plasma.

This is because usually preparation methods collect only one biological component from blood at a time. They are based on methods developed in the 1980’s using phenol and chloroform by Birnboim [3] and then improved upon in the 1990’s by Boom using silica and chaotropes [4]. These were significant advances in their time but were focused on the rapid purification of a single entity from (most commonly) bacterial growth media with minimal interest in what other components were being destroyed by the process. Since then there has been little change and sample preparation is often seen as much less sexy than the many new and exciting technologies that can be used to analyse the resultant purified nucleic acids. However, sample preparation is critical to analysing nucleic acids and is absolutely key to the quality of the final result. Innovation in this area has the potential to be a real game changer.

When using the current destructive methods, to analyse the multiple components in blood you must take more samples from each patient or split each sample into separate sub samples. Patients don’t like giving blood and you can’t collect too great a volume at each blood draw as this depletes their oxygen-carrying capacity and ill oncology patients need their blood! Splitting each sample will not only limit the amount of nucleic acid that can be extracted but also adds significant statistical “noise” as samples begin to show increased variation once they are split into multiple containers, making the vital task of discovering statistical significance in the data much more difficult.

An innovative solution to this challenge would be to utilise microfluidic sample purification methods to harvest all the different components in a blood sample simultaneously without additional stress to the patient and without adding statistical noise. Such a multi-parameter separator would function in an analogous way to how oil is fractionated into many different usable outputs – each one is utilised, and the wastage is minimal. There are many different microfluidic approaches that could be used to achieve this such as standing surface acoustic waves (SAW), pinched flow fractionation, deterministic lateral displacement, optical force switching, inertial microfluidics etc. These technologies require serial and parallel linkage to achieve full utilisation of all the components and could result in 6 different populations of nucleic acid: genomic mRNA + DNA, circulating cell-free DNA, exosome microRNA, mRNA + DNA from circulating tumour cells and plasma proteins.

The potential benefits of these systems are significant as each sample could deliver so much more information for each clinical trial. This information could lead to a deeper understanding of the clinical mechanism of a new therapy being tested, provide additional proof of the clinical benefit and possibly discover new biomarkers that can be used to monitor the impact of a drug in much greater detail. Also, the method could decrease the problem caused in the analysis of both exosomes and CTCs of a large variety of different sample preparation methods, each of which generates slightly different results – this is seen as a key barrier to progress in both fields [5, 6]. When viewed as a cost per additional datapoint delivered and compared to the original cost of the trial, the proposed “fractionator” would deliver significant value. It would create more clinical data with increased statistical significance and also standardisation that could potentially enable the widespread investigation of new biological entities.


[1] – Biopharmaceutical Industry-Sponsored Clinical trials Growing State Economics – April 2019 (The Pharmaceutical Research and Manufacturers of America) (https://www.phrma.org/Resources/State-Map/Clinical-Trials)

[2] – Raymond et al. PLoS ONE 12(4): e0176241

[3] – Birnboim et al. Nucleic Acids Research, 1979, 7: 6, 1513-1523

[4] – Boom et al. J Clin Microbiol, 1990 Mar, 494-503

[5] – Lane et al. Clin Transl Med. 2018 May 31;7(1):14

[6] – van der Toom et al. Oncotarget. 2016 Sep 20;7(38):62754-62766

secret to designing great digital services|

What’s the secret to designing great digital services?

Earlier this month, the Service Design Global Conference in Toronto really illustrated how design – as a way to integrate the needs of people, technology possibilities and business requirements to create products and services – is becoming part of mainstream business mentality. However, as the pace of new technology quickens and companies feel like they just need to keep up, considerations of what people actually need and how it makes them feel can get left behind. This leaves many organisations suffering with unrealised value or rejected digital services. 

At CDP we have an expanded approach to innovation we call Potential Realised. In particular it embraces the diversity of human experience and emotion within a design lead process; building services for people, by people. In this blog, I explain how.

The theme at this year’s conference was ‘Building Bridges’, which provided a platform for a truly inspiring array of case studies where design, and it’s inclusion of people-centricity, co-creation and systems-thinking, has enabled inclusivity and shared outcomes across diverse groups. A quote that resonated for me throughout the two days was that of the late John Heskett who said: “Design is the human capacity to shape and make our environments in ways that satisfy our needs and give meaning to our lives.” This reminds us that design is essentially a human task which aims to do more than satisfy purely functional ambitions. And by doing so has the potential to realise unique experiences and value.

Phrases such as user-led, human-factors and customer-focused design are now firmly fixed in the lexicon of innovation and business. While this is generally a positive shift from business-centric thinking, it can place a simplistic lens on the individual; functional jobs-to-be-done; customer-needs; the user. If we are to really design for humans, the complexity of emotions, to provide meaning we need to raise our thinking to social and emotional levels. Of course, empathetic thinking and behavioural science lends much to this endeavour but what I am suggesting, and is included in Potential Realised, is a more concentrated and forensic application of these concepts.

Speakers at the conference had some great examples of how this can play out when thinking about how certain technologies are adopted in services:

  • AI: The buzz word and cloak for a plethora of different technologies, comes with connotations of a robotic apocalypse. Perhaps because it is seen as faceless, logic-driven or perhaps even too human-like. But if we design in emotional ‘best-practice’ we can create a much healthier relationship with AI technology. For instance, what qualities do we value in a work colleague? Communication, adaptability, transparency? So let’s explicitly build these qualities into AI solutions so we can understand decisions, question logic and retain control; ultimately maintaining the social norms which we expect.
  • Wearables: Initial offerings in the fitness sphere have expanded into an array of health, wellness and lifestyle devices and apps. The proposition of a personal trainer on your wrist is pretty sound logic and for many is helping them live healthier lives. However, as a recent study shows for others it may have adverse effects with reduced activity levels and possibly raised anxiety caused by the ever-present reminder of their unachieved goals or data-overload. The lure of technical possibility can sometimes mean we fail to anticipate and design for such responses. iPhone ‘screen time’ is a good example of this done well. Perhaps others could go further to embrace these anxieties such as actively enabling people to go on a ‘digital detox’.
  • Chatbots: The rise of the chatbot has been helping point of need customer service and operational productivity across markets. However, the focus on efficiency benefits often means they can be more ‘bot’ than ‘chat’. However, Capital One’s Eno service is a great example of where a chatbot has been purposefully designed to learn about and respond to the patchwork of human emotion – using language and offering support in a way that engenders personality, fun and trust.

In all these cases, we can see different paths to implementing new technologies. Broadly speaking, one which builds on a technology that appears to offer value but which after time reveals some barriers to adoption and can lead to unintended consequences. On the other, the path favoured in our organisation similarly embraces technology opportunities but consciously puts human emotion at the core of design, which not only caters for human needs but discovers new areas of differentiating value.

Taking this path requires a deep understanding of people’s behaviour, the context in which they engage with a service and how they perceive value in it. Here are some ways you can start building this into a service design:

  1. Be diverse. Design is a great tool because it embraces multiple views and is built to pivot solutions based on learning. But it is only as strong as those involved in the process and the information they have to work with. By opening the net and including as many diverse viewpoints as possible, and where feasible seeking quantitative evidence, more of the diversity of need and emotion can be captured accurately.
  2. Get real. The sooner you can get concepts into the complexity of the real world the better. This often requires early tech input and creative prototyping methods such as Wizard of Oz, ( https://www.cambridge-design.com/news-and-articles/blog/prototyping-of-digital-concepts ) which are low cost but still provide the insights you need. It’s also crucial to have a clear set of success measures, for example, as well as utility measures what emotions do you want to generate – feelings of trust, excitement, reassurance?
  3. Be a storyteller. Stories are what make us human. They have the power to convey specific viewpoints in the context of societies and structures. From them we can learn about the complexity of our interactions. Through them, we can paint multiple visions of the future, converge on what we’d like to see and what is needed to realise it. Either through speech, text, art or even Lego, we can use stories in the design process to work through different versions of stakeholder viewpoints and needs.
  4. Beware the icebergs. Observation and experiences are important elements of design discovery, but these visible elements are underpinned by structures and social norms that may not be so visible. For instance, asking a team to work in a more agile way may prove fruitless if they are dependent on other parts of an organisation who aren’t. Things like structure, language and rules may need to be broken or reformed in order to deliver a desired experience.
  5. Be local. Even if you have done good work in understanding your broad customer base, there is a risk in applying a solution uniformly, particularly if you operate globally. Trying to wrap-up generalised services and messages for local audiences will be seen through and the authenticity of your offer will be undermined. For instance, Unilever have addressed this risk head on by establishing nimble regional teams who gather and apply local audience data to deliver targeted messaging at pace, thus combining the scale of a global company with the agility and relevance of a local provider.

At CDP, our multidisciplinary teams follow these principles through our Potential Realised approach, translating deep insights into digital and physical concepts that we test as early as possible using creative prototyping. This reduced cost and risk management approach allows us to evaluate and refine services that integrate the complexity of human experience and maximise the value for organisations, individuals and society. By providing an end-to-end service of research through to build and launch we ensure initial ambitions don’t get lost or compromised along the way; resulting in live services which delight you, your customers and your bottom line.

If you’d like to find out more about how we can help you, please get in touch.

Virtual innovation|

Virtual innovation?

Earlier this year Cambridge Design Partnership went global with the launch of a new East Coast engineering center in Raleigh, North Carolina, allowing us to better address the needs of our growing North American customer base. The obvious challenge however, is the 3,868 miles between our creative teams.

CDP’s essentially holistic design process requires close collaboration. Take brainstorming for example, a fundamental step in the design process, where team members with different skills and experiences come together to discuss problems and generate new solutions. During these sessions new ideas are sparked, shared and built upon. Without the major carbon impact of engineers and designers leaping on a plane, the challenge was to replicate the brainstorm experience virtually by exploiting different tools and technologies. We needed the teams to feel as though multiple locations had been merged together with everyone feeling relaxed and engaged so that they could fully contribute. It’s crucial that the team can see and hear one another as well as look at what’s being created whether it be sketches, models, prototypes, videos or other simulations.

Yes, there are well known high-end, off the shelf solutions for this from the big video conference providers, but we wanted to create a flexible and scalable solution by leveraging the desktop and mobile video conference tools that are becoming ubiquitous in international commerce.

Firstly, we needed to get the right technology in place and secondly, we needed to get the team feeling comfortable and confident using the technology. Here’s how we did it:

Minimum requirements

First of all we kitted out specific meeting rooms in each location with the audio and video equipment needed to reach a minimum level of fidelity. Essentially each room needs to have enough cameras and screens for all team members to see and be seen. This makes the team feel connected rather than just having one camera focused on the whiteboard. We link these cameras and screens to the Zoom platform that we use across CDP.

A key tool we use is the smartphone. This provides the flexibility for individual members to communicate very quickly. For instance, if there is a sketch or prototype they want to show, they can grab their smartphone, activate the camera and immediately share it.

Having good audio is essential. We’ve all had bad experiences with dropped calls and delays, which won’t do any favours for successful group dynamics. There are some great plug and play teleconference devices on the market and, together with high speed, low latency internet you’re well on your way to stutter-free conversations.

To integrate the rooms further, you need high-definition video so participants can clearly see each other’s facial expressions and body language, which is surprisingly important.

Tips from lessons learned

Firstly, we always set up the meeting rooms in advance because there is often a technology ‘moment’ that needs resolution, and you don’t want to lose that creative vibe fiddling with IT issues. So our engineers can walk into the room, open the meeting and we’re up and running.

Secondly, we make it as easy as possible for participants to dial-in and we ensure we have back up options. You can easily email a link to join a meeting and with one click and the participant is in.

Thirdly, don’t forget the conventional brainstorm best practices apply as normal, with a facilitator who takes charge of the session with a clear plan and issuing briefing documents well ahead of time.

Benefits

With a number of virtual brainstorming sessions now under our belt, we’ve found that the technology can actually enhance the brainstorming experience. For instance, instead of those in the same room huddling around an A4 drawing, by using smartphone cameras that drawing can immediately be shared with everyone on a screen regardless of their location.

Working across time zones can actually work to your advantage as team members can effectively work on a creative brainstorm for an extended day. The team in the first office can prepare for the session and then after the event, the team in the second office can collate the output and develop and visualise the best ideas after their colleagues have gone home.

Also with a virtual brainstorm it’s easier and quicker to organise and assemble the right people, whether that be one large group or smaller separate groups. It also scales beyond CDP, as clients and key partners are able to join virtual brainstorms effortlessly. A key benefit is that it enables privacy at the touch of a button. In other words, if during the session the client team would like a quick breakout to discuss strategy or sensitive information, they can simply mute their video, have a chat between themselves and then unmute to join the session again.

Another key benefit is that sessions can be easily recorded. This can be useful in helping to decipher exactly what concepts were shared during the session. It’s also potentially useful for IP and communication with lawyers when drafting patents.

Let the miles disappear

Having done a number of virtual brainstorming sessions between our Raleigh and Cambridge sites, and having ironed out the kinks by getting everyone comfortable and confident with the technologies, we’ve found that although we may be 3,868 miles apart those miles disappear as the two rooms merge in the heat of creativity.

Now, with an effective process and with the various technologies in place, we look forward to many more exciting brainstorms amongst our team and our customers, wherever they are in the world.

In packaged products

In packaged products, context is king

Chris Houghton leads Brand Innovation & Packaging at Cambridge Design Partnership, he has worked on an array of successful insight, design and strategic innovation projects with top consumer goods names including Arla, Carlsberg, Coca-Cola, Diageo, Nestle, PepsiCo, Procter & Gamble and Unilever.

Following his ‘Context is King’ keynote speeches at PACE in Amsterdam and AIPIA in New Jersey, he summarises five key questions brands need to answer when building an innovation pipeline.

Bill Gates famously wrote, Content is King back in 1996. His forecast…“Content is where I expect much of the real money will be made on the Internet”…

How right he was as we’ve seen the digital revolution establish over the past decade. On demand streaming services have overtaken traditional audio and video formats with gaming next on the horizon. Coupled with new business models, the likes of Uber and Airbnb have tapped into consumer demands making brands sit up and think what should we do to take advantage of this fertile digital landscape?

Context #1. Who?

Who are you designing for? Do you understand their cultural sensitivities, their customs and established rituals? Do you know their values? Their gender or generation? Their mental and physical abilities? Are they tech-savvy – do they need to be? The better you understand specific population cohorts the better your chance of successfully meeting their expectations.

Each culture and country has its own technology trajectory and utilisation levels. The worldwide average for time spent on the internet is now 6hrs 42mins which is just above USA’s average but some way short of chart toppers the Philippines clocking in at over 10hrs per day (source Digital 2019, wearesocial.com users aged 16-64).

Some categories like beauty and cosmetics are ahead of the curve with high digital engagement. L’Oreal was one of the first brands to realise this with their Makeup Genius app which allows users to compare before/after make-up and hair effects on-screen. This pre-purchase, augmented reality tool enables fast navigation of product choices to help consumers decide what to buy – within two years L’Oreal said it had 20 million users worldwide.

For decades, beauty brands have been heavily reliant on celebrity endorsements or experts in lab coats to target and assure consumers but today that paradigm is changing. Millennials increasingly seek individuals that they can relate to, building seemingly intimate relationships with those they follow on Instagram and YouTube channels, who ultimately steer their lifestyle decisions. This mix of opinions, edited evidence, facts and ‘fake news’ can confuse many consumers, so building trust is more important than ever.

Context #2. What?

What category does your brand belong? Beverages, confectionery, personal care? The answer to this is obvious, of course and you’ll invest great effort closely tracking the activities of your competitors. But that is just the start. Innovations don’t always come from your direct competitors. Instead, brands are often blindsided from an unassuming left field competitor, arriving at speed with disruptive and transformational innovations. For instance toothpaste brands didn’t expect their category to be impacted by confectionary companies making chewing gum with teeth whitening claims.

We look at the ‘what’ in a solution agnostic way using the ‘jobs-to-be-done’ methodology. In a nutshell this approach states that when consumers become aware of a job they need to get done, they look around for a product or service that they can hire to do so.

Procter & Gamble’s Tide is a good example of a brand that have extended their portfolio to cater for changing contexts. The core range is unsurprisingly traditional powder, liquid and convenient pod packaging, but more recently Eco-Box was introduced to address e-commerce shipment and improved sustainability stats. The brand has even stretched beyond products solutions with the test market launch of Tide Cleaners. A direct to consumer, digitally enabled, subscription service that targets ‘generation rent’ to simply drop/collect dirty/clean laundry. This cleverly allows the brand to reach new consumers whilst experimenting with new business models, partnerships and logistical infrastructures in a low risk way.

Context #3. Where?

Where is your product used? At home, at work or on the go? Each location may present a different hierarchy of jobs. In fragrance, for example perfumes have clearly defined packaging conventions. Consumers expect a thick-walled glass bottle, an elegant closure with a precise dispensing atomiser. This objet d’art is entirely appropriate to adorn a home dressing table. However, if on the go,  this format no longer seems so practical for a handbag.

In 2017 British parfumier Jo Malone launched Fragrance Paintbrush under the brand Jo Loves. A compact perfume gel applicator that is crucially handbag friendly. This delivers an entirely different application ritual, delicately brushing quick drying fragrance onto the skin rather than the traditional perfume spritz.

In a digital, augmented world understanding the ‘where’ is crucial to enable or enhance the experience, especially when leveraging the surrounding environment. Whilst outside the packaged goods world, I find EuroStar Odyssey an insightful and charming experience to entertain children during a long train journey. Instead of uninspiring views inside a concrete tunnel beneath the English Channel, the carriage is virtually transformed into an underwater viewing gallery with dolphins and whales swimming besides you to help families kick start their vacation.

Context #4. When?

When is your product used? This can have a crucial bearing on consumer engagement levels especially regarding available time and tolerance levels. For example, a parent making up baby formula has very different functional, emotional and social ‘jobs’ depending on the time of day. Sterilizing equipment, measuring and mixing powder at 3pm is very different to 12 hours later for the 3am feed in the dark whilst you’re still half asleep, was that 4 scoops or 5?

When is a crucial dimension for digital interaction too. Many successful smart packaging examples have come from high engagement categories like alcoholic beverages and beauty where consumers make extra time for interaction and brand owners see sufficient ‘value’ to deploy cost sensitive technologies and/or content.

Context #5. Why?

Why should we choose your brand? What motivates us? What jobs are we trying to achieve? ‘Why’ ties together all of the other contextual considerations and forms the heart of any value proposition and reason to believe.

Take PepsiCo’s Gatorade brand for instance with their emotive message of #WinFromWithin. They understand people are motivated to ‘win’ especially in a sporting context. This reinforces how the brand was created in 1965 by scientists to provide athletes competitive advantage through superior hydration. Fast forward 50 years and the brand found themselves losing share with an influx of competitors big and small. To reverse this trend they identified contextual consumer jobs to cater for their needs more comprehensively. This prompted the launch of G Series, primarily a ‘When’ based product range to help athletes before (Prime), during (Perform) and after (Recover) sporting efforts. This triggered their portfolio to grow beyond solely sports drinks into food to create an ecosystem of sports fuels, from chews, bars, powders, drinks etc. More recently we’ve seen the launch of the Gx Bottle, a smart hydration system that helps individuals to customise their own products, with connected sweat tracking and variable carbs and electrolyte pods, the Nike ID of the hydration world.

So ask yourself, is your brand prepared for this revolution? Do you cater for those consumers that don’t accept one-size-fits all? Whilst Content may be King in the purely virtual, service-based world, Context is King for physical, packaged offerings where content can augment and enhance the physical experience rather than be able to entirely replace it.

How much does sleep cost|

How much does sleep cost?

Margaret Thatcher famously said ‘sleep is for wimps’. Sadly, that’s not good advice, but also, it seems, it is exceedingly bad for the economy. Even though we spend around a third of our lives asleep, society it seems, has been mis-sold the value of a full night’s sleep.

RAND Europe, a Cambridge based not-for-profit policy research organisation undertook a study into the impact of sleep on the world’s economies. Marco Hafner, a senior economist says: “Our study shows that the effects from a lack of sleep are massive. Sleep deprivation not only influences an individual’s health and wellbeing but has a significant impact on a nation’s economy, with lower productivity levels and higher mortality risk among workers.” RAND found that employees who sleep less than 6 hours per night report on average about a 2.4% productivity loss due to not being at work or employees being at work but working at a sub-optimal level, compared to workers sleeping between seven to nine hours per day. (RAND, 2016). Scale that up to the UK’s workforce and it equates to a cost of $50bn each year.

Evidence also shows sleep suppression is a predictor of ‘all-cause’ mortality, including fatal car accidents, cardiovascular disease, strokes and even cancer. A recent study by the Foundation for Traffic Safety reported that, compared to drivers who had slept for at least 7 hours in the past 24 hours, drivers who reported they had slept less than 4 hours had 11.5 times the crash rate.

Based on empirical evidence, the number of individuals receiving less than the recommended 8 hours of sleep is increasing. This is due to several lifestyle influences connected with a modern 24/7 society, such as psychosocial stress, unbalanced diet, lack of physical activity and phone, tablet, and computer use, among others.  (Roenneberg, 2013)

So how can we address this challenge?

According to sleep scientists there are simple measures we can take, the most important thing you can do is to self-impose a rigid sleep and wake up time each day, even at weekends. It seems there is no such thing as catching up on sleep, in fact, it only serves to aggravate the problem. Having a lie-in cranks your natural body clock (circadian rhythm) forward in time so when Monday rolls around and you must wake up early, it’s like having 3 hours or so of jet lag. Not the best way to start the week!

Two things to avoid in the evenings are caffeine and alcohol. Caffeine has a half-life of about 6 hours, so a post-lunchtime coffee would be equivalent to drinking a 1/3 of a cup of coffee right before bed. Conversely, alcohol can be a powerful sedative but is also one of the most influential suppressors of REM sleep, arguably the most important stage of sleep.
Health education often does not teach the importance of sleep. Every parent knows from experience that sleep is of fundamental importance to their child’s development and can dramatically affect the child’s ability to learn new skills.

It is also important for employers to recognise the importance of sleep and tiredness. Creating brighter workspaces, having outside eating areas and encouraging staff to take lunchtime walks all help to promote the natural melatonin hormones which regulate the sleep/wake cycles.

One such company that has embraced a positive sleep culture is Google. Google has implemented a flexible working arrangement with employees so they can match their hours to their circadian rhythm and have installed ‘sleep pods’ in their facilities to encourage naps, thereby germinating creativity and productivity, and reducing health problems and sick leave. It is also reported that the insurance giant Aetna pays a $300 a year bonus to staff that get at least seven hours of sleep per night recorded and verified using a sleep tracker such as a FitBit.

A big challenge is shift work. Many industries that have to provide essential 24/7 services need this capability and worryingly the World Health Organisation has listed night shift work as a ‘probable carcinogen’. Clearly more work is needed to develop strategies to protect those who have to work at night.

In a second blog, coming out next month we will be looking at how the emerging sleep tech industry, estimated to be worth over $30bn a year in the US, is addressing these challenges. Do they fulfil our unmet needs or are they creating more unnecessary gadgets?

It’s all about the UX

It’s all about the UX

There is no doubt that User Experience (UX) is a hot topic throughout today’s design world. But how is the personal approach to product development affecting the field of healthcare? Lucy Sheldon, people-centered designer, and Andres Barrera, user experience designer, went along to the first ever User Centred Design (UXD) Healthcare conference to find out…

Lucy and Andres write: Here at Cambridge Design Partnership, one of our specialisms is designing healthcare devices, from asthma inhalers to blood sugar monitors, that are used by patients rather than health professionals. In such situations, the experience of the user/patient is key to the success of the product. Do they like using the design or will they give up on it?
Because of this, we were intrigued by a new conference devoted entirely to User Experience (UX) within the world of healthcare.  So we headed off to the User Centred Design (UXD) Healthcare conference in London this spring to find out more and report back:

Who was there?

Attendees ranged from new start-ups to digital health specialists employed by global pharmaceutical companies. This was a chance for us to check out what’s happening right across the board in healthcare UXD.

What was the focus?

Many of the presentations were about the ways in which digital technologies can deliver a cost-effective and successful preventative healthcare model. Loud and clear came the message: a people-centered healthcare approach requires great UX at its heart. Healthcare solutions that the patient uses in their own home have to be problem-free and a joy to use. Otherwise compliance becomes a real problem.

Which innovations stood out?

We liked the look of the myCOPD app, an app which offers patient education for people with Chronic Obstructive Pulmonary Disease. This app delivers advice from world experts and is, in effect, a complete online pulmonary rehabilitation class. Another interesting project is the Babylon Health start-up, which offers online GP consultations. This company is already working with the NHS, allowing patients the option of signing up with Babylon Health rather than a traditional GP surgery.

Why is UX so much at the forefront of healthcare these days?

The rising incidence of long-term health conditions such as diabetes, heart disease and asthma is driving investment with a shift in emphasis. Now the focus is on helping patients to cope with their chronic illness, in terms of both reducing symptoms and improving outcomes. There is also much more investment in preventing lifestyle-related illnesses occurring in the first place.

What is the aim of UX in healthcare today?

Several of the speakers referenced the term healthspan (quality of life), which is now considered alongside lifespan as a measure of healthcare success. The question is no longer just: how long will you live? What matters is now how long you will live in good health.

What else is new?

Presentations which outlined how augmented reality in digital tech could be used in healthcare. Gaming-based digital tech allows users to overcome phobias in virtual reality. One idea we heard being discussed was a digital game in which the user overcomes their fear of heights by travelling up escalators, going onto balconies, etc. This is proving genuinely effective in helping people overcome debilitating phobias.

Did AI feature?

Absolutely. We were struck by a presentation which outlined the ways in which Artificial Intelligence (AI) – or perhaps more specifically machine learning – frees up healthcare professionals to do their high-level work more effectively. Algorithms can analyse patient data such as heart-rate, flagging up noteworthy results and saving hours of human time poring over charts to spot anomalies.

The appetite for digital therapeutic treatments is certainly growing and, for conditions such as depression there are, we discovered, several therapies that the patient uses themselves that have already been clinically validated. This impressed us a lot.

Did you come back to Cambridge Design Partnership feeling inspired?

Definitely. Here at CDP we work on a wide range of healthcare projects that have UX at their heart and we know just how crucial it is. For example, we designed the First Response Monitor as a way of helping first responders such as paramedics triage patients. The monitor helps assess which patients need help soonest via nose clips which record oxygen levels and display results using AI on a smartphone dashboard. In such a high-pressure situation as. Say, a serious road accident, kit needs to be reliable and simple to use. Our UX design, both for the physical product (the nose clip) and the digital tech (the smartphone dashboard) was key to its success.

How can CDP offer the best UXD to its clients?

We offer global companies the opportunity to create healthcare products – be they digital or physical – that not only fulfil the brief but truly delight the user. Our Potential Realised product design process, which links research, design, technology, engineering and manufacturing into a single integrated process allows us to meet and exceed customer expectations for UX.

Finally, how is the future looking for UXD in healthcare?

There is an exponential growth of health-tech start-ups right now and design in healthcare is evolving towards a more holistic and democratic approach. Patients no longer simply expect a prescription or a pill to solve their problems. Instead, they are taking ownership of their treatment and their health, often using digital technology. Where this is supported by machine learning, we are convinced that UX has the potential significantly to enhance healthcare delivery.

Is ‘Design Thinking’ how successful innovators think?

So where does Design Thinking come from? Design is a creative problem solving skill that has evolved over centuries. It was the Modernist movement that in the early 20th century helped set the scene for today’s practical and aesthetic design solutions that can be manufactured at low cost. The ideas behind Design Thinking started life in creativity research in the 50’s and 60’s and more recently crystallised at Stanford University before being popularised for the wider business community by David Kelly, founder of IDEO.

As a designer at the start of my career in the ‘80s I was struck by the radically different approaches to design taken by the engineering and industrial design professions. You could say engineering design was based on the scientific method (collect data, analysis and conjecture, hypothesis, experiment and review) with plenty of mathematical analysis and optimisation based on first principles. In contrast, industrial design placed personal creativity, taste and empathy with consumers as the most important skills, validated by stories of the design heroes of the past with their seminal work displayed in museums and galleries.

In business, academic research has shown companies tend to adopt one of three generic models of innovation; technology lead, market lead and ‘fast following’. It’s a generalisation, but you can see how those from the engineering design camp might resonate with the technology lead strategy, believing that innovation flows from a technology breakthrough. Those from the industrial design camp naturally align with a market lead approach, looking to new trends and needs in society to create opportunities. Finally, those who are most interested in the short-term bottom line may adopt the ‘fast follower’ model as the most pragmatic strategy.

If you look at the hot innovation sectors today, take Digital as an example, success depends on integrating both the technology and market lead strategies. Creating completely new business models by better meeting customers’ needs using the most effective technology. This needs a truly holistic innovation approach and exemplars are simply today’s most valuable companies, so this logic is undeniable.

So is Design Thinking a joined up approach that integrates traditional engineering and industrial design processes? It is certainly associated with the well-known Venn diagram linking what customers want with what is technically possible and commercially viable.

But is it the way that successful innovators think today? OK, this is an unfair challenge. Design Thinking is a simplified model that resonates with a wide audience and succeeds in encouraging some important behaviours. It makes the customer the primary reference point for innovation, something that is surprisingly easy to forget when technology becomes too exciting or daunting. It encourages questioning assumptions and the group working that is often absent in siloed organisations, essential when agile disrupters are snapping at your company’s heels. It also champions creativity that is a skill often driven out of companies in their search for operational efficiency. It finally encourages a learning approach using experimental iteration and minimum viable products, to improve ideas based on customer feedback, avoiding the confirmation bias that can sometimes fool teams into inadvertently launching a product that won’t succeed in the market.

However, on the other side of the coin I believe Design Thinking can introduce fatal flaws for the unwary innovator and this is why we have created our own proprietary approach to innovation at Cambridge Design Partnership, called Potential Realised. Like Design Thinking, our approach is people centric, creative and based on learning, but it’s a more demanding, professional framework that requires an expert delivery team with a broad range of specialist skills, particularly because it is compatible with the ISO13485 and FDA standards for medical device development.

There are three major differences between Design Thinking and Potential Realised. While keeping the consumer at the heart of the program, Potential Realised fully integrates the key role that technology plays in innovation and the specialist capabilities needed. There is a focus on the fundamental principles of the scientific method, placing learning and evidence center stage. This is essential to deliver technically complex products efficiently and to minimise the cognitive biases that can adversely influence outcomes. A good example is the emphasis Potential Realised places on gathering objective evidence at the front end of innovation when it can be difficult to obtain, rather relying on ‘empathy’ with the target market. Evidence is vital at this stage because the right decisions have a profound effect on the final commercial outcomes and project costs. Built into Potential Realised are the stages needed to obtain these vital facts.

It also recognises that iteration, while an efficient approach when costs are low at the front end, becomes an expensive mistake as investment rises and as the innovation gets closer to market. When implementation costs are in seven or eight figures your process has to include a high level of integrity.

Finally, Potential Realised is firmly based on the holistic nature of innovation, recognising a successful product launch is only as good as its weakest link and making sure all the design, technical, and business activities have their place and integrate together throughout the project to avoid pitfalls and most importantly, to allow the innovation process to be optimised financially.

While Design Thinking is certainly a part of how successful innovator thinks, Potential Realised’s scope is much bigger; it is scalable to even the largest projects and it actively optimises the return on your investment in innovation. It achieves this with building blocks that uncover the best possible commercial opportunity and create an efficient technical implementation and manufacturing capability.

If you would like to learn more about how Potential Realised can do this for your business, please get in touch.

A practitioner’s view of ‘jobs to be done’ theory

Many people are now familiar with the ‘Jobs to be Done’ or JTBD theory of innovation and it is becoming a prominent model that is deployed in successful businesses, big and small, as they look to grow through innovation.

Stated simply, the JTBD theory is grounded on the understanding that people ‘hire’ products to enable them to get a job or jobs done. The jobs, or goals, can be functional, emotional, or social in nature. New innovation opportunities are based on discovering and addressing the jobs people are struggling to get done. The JTBD theory allows for an inherently solution-agnostic approach to insights capture for innovation through a job-based frame of the problem. Instead of focusing on existing products and services; instantly time-stamping and limiting insight, JTBD defines time-stable innovation measures of unmet need and unshackles creative teams from existing technologies and platforms when considering how to address that valuable, newly uncovered opportunity.

Simple enough in its conception, confusion with JTBD can arise with specifics of the language used in its practice and you could be excused for thinking that an explanation somebody has provided on how they will “do” JTBD for you does not match your own understanding of how it is applied.

The confusion arises because there are a number of different JTBD schools of thought. Whilst each of them is grounded on the same simple premise outlined above, we would argue that each teaches a practice that harbours particular strengths well-suited to addressing different business growth challenges – from the near-term new product development to the long-term strategic direction-setting and within the three-dimensional functional, emotional, social needs space occupied variously by healthcare, consumer and industrial markets.

Here we briefly introduce the three most prominent forms of JTBD practice as a means of demystifying the language and comparing their application strengths.

Jobs and forces (the Switch approach)

Established by Bob Moesta of The Rewired Group, the Switch approach to JTBD focuses on the reasons why people fire and hire products and services. It strives to understand the moment of ‘switching’ and the (im)balance of forces that ultimately compels someone to make a purchase. The switch happens when combined forces of the switch enablers – problems with the existing solution (the push) and the benefits of the new solution (the pull) – overcome the switch blockers – the worries about the new solution (anxiety) and existing habits and switching costs (inertia).

In practice, Switch is applied by dissecting the purchasing timeline from the moment of the very first thought of switching through passive looking (for a new solution), active looking, deciding on a solution, to buying; to uncover the pushes, the pulls, the anxieties and the habits. Very quickly, emotional jobs that augment the assumed functional job begin to materialise providing new insight into the real struggles that customers face.

Jobs, pains and gains

Developed by Alex Osterwalder at Strategyzer, the Value Proposition Canvas provides a framework that enables businesses to develop and implement value propositions by identifying the jobs that customers are trying to get done, the negative pains they experience when doing so and the positive gains that they desire from product and service solutions; providing a focused customer profile to design for.

Jobs and outcomes

Pioneered by Tony Ulwick at Strategyn, and productised by their Outcome-Driven Innovation method, jobs and outcomes approaches break a job down into the many metrics (outcomes) that customers use to define job success (how well they are able to get a job done).

By identifying which outcomes on a job are most important and least-well satisfied, companies are able to uncover detailed descriptors of innovation opportunity ripe for product or service development.

At a higher level, applying the same principles within a broad market space allows companies to uncover the most important and poorly satisfied jobs; helping to answer the more strategic question of ‘where to play’?

Then there is…

The CDP way

Well actually, at CDP we don’t have a way of “doing Jobs to be Done” we have many! We like to practice what we preach by first listening to our customers – our clients – at the earliest stage of engagement to discover their jobs to be done. We will then devise an insight for innovation enquiry that selects the most appropriate JTBD approach; even merging them where required, to develop a front-end innovation solution that best meets our client’s needs.

We find that using outcomes as the unit of research analysis provides the precision required to translate insight directly into requirement specifications. This approach is particularly powerful when dealing with highly functional jobs to be done; as often seen in healthcare and medical device development. It can define, with precision, what your next product should be. On the other hand, considering firing and hiring forces using the Switch method can wrap a layer of emotional insight around the functional and rational dimension; ripe for product and experience innovation in consumer-focused markets. Whilst defined jobs, pains and gains provide targeted creativity input to conceptualise new products and services with specific pain-relieving and gain-creating features.

There are also occasions when JTBD isn’t even the most appropriate theory or tool at all. Just as we wouldn’t use a sledgehammer to crack a nut, nor would we use one to tighten a screw and so we will draw upon other research tools as demanded by the goals and scope of the research enquiry. These include stakeholder co-creation, expert interviews, global trends mapping and client research synthesis.

In short, we believe that there is no one template or blue-print for front-end innovation success. Our insight for innovation team can pool decades of aggregated innovation experience applying JTBD theory in its many guises and other research tools, across multiple market sectors; to match front-end solutions to business challenges on a case-by-case basis.

As end-to-end innovation partners, we progress from insight to concept to product, applying our Potential Realised innovation process from opportunity definition to product realisation. We are as invested in ensuring that insight is appropriate to our clients’ needs and relevant to their market as they are.

So, you may know of innovation research as jobs, push, pull, anxiety, habits, pains, gains or outcomes… whatever your innovation language, rest assured that, at CDP, we have people who speak it!