Equal Experts is proud to be part of the expanding technology sector across the North East and Yorkshire
Yorkshire and the North East of England are rapidly becoming the UK’s most vibrant homes for technology and innovation. With exceptional universities, incredible infrastructure and established tech clusters, the regions are thriving.
The areas are also hotspots for tech talent, with Equal Experts welcoming more than 500 highly experienced technology consultants from the regions into our growing global network. The growth of our network in tech-hub cities such as Leeds, Newcastle, Sunderland and Sheffield is enabling us to expand and support more customers to solve complex problems or accelerate their digital transformations. We’re delighted to be part of the growing and dynamic technology landscapes in the North East and Yorkshire.
Hubs of innovation
Yorkshire and the North East blend their rich industrial innovation heritage with modern technology to create unique tech hubs across the region.
The North East’s five universities boast more than 67,000 students studying Science, Technology, Engineering and Mathematics (STEM) subjects and offer specialist courses in emerging technologies, such as artificial intelligence and machine learning. Newcastle itself was ranked as the smartest city in the UK in the 2021 Smart City Index, measuring the technological provisions, activities and opportunities within cities. The city is also home to Newcastle Helix, a 24-acre innovation district home to world-leading research and education hubs alongside innovative start-ups, global businesses and government organisations. Similarly Sunderland benefits from Software City, providing opportunities for start-up, growth and careers support, as well as being home to the North East Tees Valley Centre, a regional Digital Catapult Centre, supporting organisations to accelerate new possibilities with advanced digital technologies.
Investments, research facilities and opportunities have also inspired rapid startup growth in Leeds and Sheffield, with the region being dubbed Silicon Yorkshire. The University of Leeds is helping to grow the region’s tech prestige, with the Leeds Institute for Data Analytics focused on using data to drive research and public good initiatives, while Nexus Leeds supports innovators and entrepreneurs with access to research and facilities. Sheffield meanwhile is home to another of one of the UK’s Catapult Centre’s – The University of Sheffield Advanced Manufacturing Research Centre (AMRC) works with BAE Systems and Airbus.
Joining collaborative tech ecosystems
Both Yorkshire and the North East boast thriving collaborative ecosystems and, with the rapid expansion of our network in each area, we’ve been introduced to these hubs through our local technology associates. We’ve already been part of the Leeds Digital Festival, one of the biggest tech events in the UK, and have started to hold social and educational events of our own in Leeds, York and Newcastle.
At Equal Experts, ongoing learning and sharing our knowledge are two of our key values. We aim to support the growth of these ecosystems and create havens for the technology community. By sharing insights and expertise from both our local teams and our wider global network, we can enable local organisations, clients, and network members to engage in interesting and inspiring discussions
Local experts, global expertise
Since 2007 we’ve been helping UK organisations solve complex business problems, accelerate their digital transformation and unlock greater business value through technology.
We’ve supported more than 100 partners across a diverse range of industries including government departments, financial services, retail, travel, and media. Our clients include John Lewis and Partners, Pret a Manger, Travelopia, the Home Office, and O2. Locally in the North East, we’re now working with HM Revenue and Customs, the Department for Environment, Food & Rural Affairs (Defra) and insurance provider Covéa.
Our unique cost-efficient network approach enables us to provide our clients with local, highly experienced experts who can start delivering business value immediately. Through the Equal Experts global network, our experts can leverage insights and expertise from Europe, Asia, Africa, North America and Australia to deliver unparalleled value to our clients.
If you want to get involved with one of our events or learn more about Equal Experts, our services and our experience, contact our local Client Principal Kev Gray .
Never the twain shall meet
In my dealings with those in business who call themselves architects and those who call themselves innovators, one theme comes up time and again. “If it wasn’t for those guys in Architecture/Innovation (delete as applicable) we’d be more effective.” It would appear from such conversations that these two disciplines are somehow mutually exclusive, and one can’t flourish while the other is allowed to exist.
As someone who has taken the roles of innovator and architect in the past, I’d like to dismiss the idea that these activities are mutually exclusive. To conclude that they were would imply there is no place for architecture in an organisation, as innovation is clearly essential to its continued success. This is a conclusion I can’t make because, as an architect, my main focus was always on delivering value through novel change, and that sounds like a pretty good definition of innovation. Any architect who sees innovation as the enemy is a person who fears change, and is therefore, in my opinion, not an architect at all.
This leaves me with the possibility that architecture might stifle innovation. Could it be true a profession I was involved in was the Delilah that cut the hair and stole the strength from the Samson of innovation? Is it possible that architecture is an overblown Goliath that needs to be brought down by the smaller, under-funded David? Or worst of all, is architecture the immovable object encountering innovation’s irresistible force?
Absolutely not! All of these views emerge as a result of the misuse of the title of Architect by those who seem not to understand its purpose at all levels. In technology and in business, the term architect has been borrowed from the true profession of architecture. Architecture in its original guise is a creative venture rich with innovation, not a book-keeping role designed to maintain the status quo.
What is innovation?
At this point, it is worth considering how we define innovation, and for this I turn to the International Organization for Standardization (ISO) who have a surprisingly concise definition that encapsulates what innovation means to me.
Innovation: new or changed entity, realising or redistributing value
ISO 56000:2020
In other words, something new that adds value. The implication of this definition is that any proposed change that you can show will deliver benefit to an organisation is innovation. Many organisations base their entire portfolio of work on activities that fit this definition. It should, of course, be all organisations, but it never ceases to surprise me that there are still many who don’t seem to understand the importance of value in decision making. Without an understanding of potential benefits, it’s impossible to decide how much effort to dedicate to something.
All that glitters
I believe this is at the heart of many of the criticisms levelled at innovation. The problems actually arise from the unmanaged implementation of ideas based purely on the “gadget” principle. Consider the can opener; a fine example of genuine innovation, conceived of over half a century after the invention of the can itself. There are then many examples of can openers that are heralded as innovative, but are better described as “gadgets”. They provide no benefits over the original, and are thus not innovative as they represent change without added value. A true innovator recognises that the generation of ideas is simply the start of innovation, providing the raw material that drives the selection process.
A true innovator also recognises that innovation is nothing without delivery, and this is where architecture comes in. If the purpose of architecture is not to shape, articulate and enable delivery of innovative change then what is it? An architecture is not an edifice carved out of stone, to be worshipped and adored. It is a living model that adapts to change and makes it happen. It is part of the design process, and good design is essential to the creation of a valuable product.
Better together
Having said that architecture is important, I would also stress that it becomes expendable as an activity if all you do is tweak business as usual and keep the lights on. If, however, you want to aspire to something better and stay ahead of the crowd you need innovation to create the vision and architecture to shape it and help to make it happen. If your architecture doesn’t make change happen then it isn’t architecture.
And for architects, there’s a selfish motive as well. Innovation is change, and change impacts the architecture. Innovation keeps architects busy and provides them with the opportunities to show that architecture, when done right, is an effective tool for enabling change and thus for adding real business value.
So, in conclusion, far from being enemies, architecture and innovation are essential drivers of business transformation. In anything other than the smallest of organisations, neither can thrive without the other. Many businesses have an Architecture Department, and then somewhere else exists an Innovation Team. This approach is fundamentally flawed. Architecture and innovation are fundamental to delivery of change and you need people with both of these skills working side by side in multidisciplinary delivery teams. With these combined skills, you can harvest creative thinking, incorporate the credible into visionary strategy and then weave this strategy into deliverable change.
I may be biased, given my career history, but doesn’t that mean that far from architecture being the enemy of innovation, for some organisations truly creative and agile architecture is innovation?
If you’re involved in design (and even if you’re not) you probably know about the Double Diamond process. But, is that the end of the story? This article expands the perspective and completes the model by taking you from ambition to market in a repeatable entrepreneurial cycle.
Divergence and convergence
Back in 1996, Hungarian-American linguist Béla H. Bánáthy made obvious something that was hiding in plain sight, and as a linguist he expressed it in beautifully simple terms. He described the thinking process in terms of two key phases, the first being divergence and the second convergence. During divergence we consider a situation and create a range of choices arising from that situation. Convergence then follows and we narrow those choices down to a single decision point.
For example, you’ve bought a new painting for your home, and now it needs to be displayed. Maybe you already have a space for it, but more likely, you now examine your rooms and build up in your mind a list of places where it would look great. This is divergence.
Next, you imagine the painting in each of these places. Perhaps you get a friend or partner to hold it up so that you can get a feel for how it’ll look. Slowly you narrow down the field of options until you’re left with just one – the perfect spot. This is convergence.
Divergence involves expanding your understanding and increasing your options without judgement. To judge and reject too early is to do so without adequate knowledge. Far too many great ideas end up on the cutting room floor (or voted down in “brainstorming” sessions) because they’re unfamiliar or poorly understood. This is why divergence has to be allowed to happen before any attempt is made at convergence.
Convergence is reduction of options through elimination, and most importantly elimination through experimentation rather than through opinion or “gut feel”. You’d be amazed at just how many “obvious” things turn out to be wrong when put to the test in the real world. For example, we all know that warm water freezes faster than cold water, don’t we. That’s so obvious we really don’t need to waste time testing it? It’s a safe assumption, right? If you agree, I recommend you read up on the Mpemba Effect – a timely reminder that there is no such thing as a safe assumption.
A tale of two diamonds
Divergence followed by convergence can be pictured as a diamond, starting from a single decision point, and expanding out like a tree, growing freely. Once the tree is fully grown its branches are then pruned back until only the strongest remains. This is your new decision point from which you grow your next tree.
You can apply this pattern to most situations that require thought and an outcome. Choosing a holiday; picking a route to work; designing a new mode of transport; even painting that picture. In just two words, Béla brought to life the idea that problem solving was not a linear process that created certainty out of chaos, but instead a journey that created chaos in order to get to the next point of certainty.
This is a concept that appeals to the creative mindset, and so it comes as no surprise that the British Design Council took this concept and popularised it in the form of the Double Diamond design process model.
![](https://www.equalexperts.com/wp-content/uploads/2022/08/Jon-Ayre-Double-Diamond-Content-1.png)
The Double Diamond design process model – Image by Digi-ark (via Wikipedia)
As the name suggests, the model sees the design process as two consecutive divergence-convergence activities, the first consisting of discover and define, and the second of develop and deliver. The first phase allows you to discover a problem domain to gain insight, and then narrow down that insight to define the problem to be solved. The second uses that problem definition to develop a range of potential solutions, tested for viability, and then deliver these solutions to an audience and use their feedback to converge on a single preferred solution.
The double diamond model has become almost ubiquitous in the world of design, and there may well be as many renderings of the illustration above as there are designers. However, as I mentioned earlier, the divergence-convergence model can be applied to most situations requiring thought and therefore to most meaningful undertakings. It was only a matter of time before the Double Diamond concept was extended.
Two’s company, three’s a crowd
It’s at this point in our story that the Triple Diamond Model enters the fray. There are many versions of this model and they all vary in the terminology used, but the one thing the majority have in common is the direction in which they extend the model. The new diamond is placed in front of the Double Diamond model and its two stages are often referred to as “opportunity” and “strategy”.
The intention of this extra diamond is to reflect the process that gets us to the awareness that there is a particular problem worth solving. First explore the market to find a range of opportunities (divergence), then formulate a strategy that targets the first of these opportunities in the form of a proposition (convergence). In the world of software development, this is where the product strategy emerges.
Some would say this is just taking a good model and ruining it with unnecessary embellishment. It’s a common pattern with models that people spend too little time understanding them before adding complexity to cover aspects already encompassed by the original concept. A minimalist’s nightmare.
Others would suggest that the Double Diamond is specific to one particular viewpoint, and requires extension to cover a broader range of perspectives. I’m an advocate for the second view – the double diamond is an excellent start, but it’s not the full story. The real question is how far does that story stretch? Is three diamonds enough? Four? Is there even a limit?
For those of you who hate spoilers, look away now. For the rest of you, (the impatient ones), the answer is five.
A matter of perspective
To understand the Double Diamond we have to see it in context, and to do this we need to expand our perspective to encompass the full process from start to finish. Designers often (rightly) complain that they are not engaged early enough in the process, and this in itself is a recognition that there is a broader activity to which they could contribute. The same is true for most participants in the creative process. Each sees the process from the perspective of when they are first approached to the point where their role ends. Beyond those points things become more vague and tend to get condensed into “the step before” and “the step after”. What might, from a local perspective, seem like brief steps, are actually a chain of events spanning weeks or even months of investigation and insight.
Also, when considering processes, it is popular to think in terms of straight lines and trends (a beginning, a middle and an end; a start point and a destination). However, many things in life are cyclic, and only look like linear trends if we observe them for a limited duration. Proper understanding requires context. The context for the Double Diamond process is product development, and this is part of a loop I like to refer to as the “Entrepreneurial Cycle”.
![](https://www.equalexperts.com/wp-content/uploads/2022/08/Jon-Ayre-Double-Diamond-Content-2.png)
The Entrepreneurial Cycle
As can be seen, this cycle involves five points of focus, and it is from this that the limit of five diamonds is derived. To get from one point to another requires divergence to understand and create options followed by convergence to get to the decision point. But first a quick summary of how the cycle operates.
An entrepreneur operating in a given market observes that market and perceives threats and opportunities emerging as that market evolves. This observation gives rise to an ambition and ambition leads to the development of a range of strategies from which one is chosen. This strategy gives rise to a proposition which in turn is developed into a product that can be deployed into the market. If this product is successful, it will inevitably change the market, leading to new threats and opportunities, and so the cycle repeats itself.
The biggest lesson to draw from this is not just that product development is a cycle, but that the act of developing products feeds the cycle and keeps it going. The very act of introducing a new product into the market changes that market, and so a wise entrepreneur recognises the need to keep moving. In essence, the market for which your product was developed no longer exists once your product is successful.
Turning the wheel
Let’s take a simple example to bring the Entrepreneurial Cycle to life. A company providing an online service has seen a plethora of challengers enter their market. Customer churn is high and brand loyalty is low. Although they’re seeing as much customer gain as loss (and thus maintaining market share), the cost of maintaining this share is becoming uneconomical.
They believe their service is superior and embark on a venture to radically improve customer retention and brand loyalty. They have established their ambition.
They also observe other apparently similar industries adopting subscription models and believe this might be a way to achieve this retention. This approach now forms the basis of their strategy.
The information available to them shows that a monthly subscription model providing customers great value for money through unlimited access to services has improved retention in other industry sectors. They also believe that by adding benefits and exclusive rewards to this model they will achieve the levels of customer retention they desire. Their proposition is starting to take shape.
They now look into their customer base and decide a single subscription won’t work for everyone, so they define a tiered model and develop this into a set of subscriptions options from which the customer can choose (silver, gold and platinum). Each has a different level of service and associated offers, and comes with different levels of customer support ranging from online chat through to personal concierge service. They set out to develop these products and launch them onto the market in place of their current offerings.
If, as they hope, this is a successful venture, they will retain their current customer base and continue to acquire additional market share through the high churn the industry is experiencing. However, the model is easy to duplicate and their competitors will no doubt adapt by introducing similar, or potentially better, products. They will need to prepare in advance to react to this change in the market if they are to stay ahead of the game.
And what if they’re wrong? That’s a significant amount of effort and investment to waste on an unsuccessful venture, not to mention the potential reputational damage. This is the danger of linear thinking.
Diamonds are forever
To address this, each stage in the Entrepreneurial Cycle needs to exploit the elegant wisdom of Béla H. Bánáthy. The earlier diagram, however, fails to convey this. It’s drawn in a way that implies movement from one state to the next is a linear, predictable activity, and the example above includes elements of this linear thinking style. It should be clear from the example that the decision making involves a lot of assumptions and gut feel decisions. There is little room for uncertainty or verification.
So now we need to overlay this cycle with the diamond model to make it more complete and add some rigour to the process of investigation and decision making. For ease of drawing, I’ve stretched it out horizontally, but please remember it’s cyclic:
![](https://www.equalexperts.com/wp-content/uploads/2022/08/Jon-Ayre-Double-diamond-content-3-1200x277.png)
Convergence and divergence applied to the Entrepreneurial Cycle
And for those who prefer text to visuals, here is a further breakdown of each of the five stages of the Entrepreneurial Cycle described in terms of convergence followed by divergence::
- Market to Ambition
Before doing anything you need situational awareness. To achieve this you must observe the market in which you’re operating to understand how it’s evolving and to identify the threats and opportunities. You might even want to draw a map of your territory to better understand it. From a diversification perspective, we’ve developed the Business Evolution Map. For a more personalised picture, you might want to try creating a Wardley Map. Once you understand the space in which you’re operating you can identify the most attractive opportunity (or the most immediate threat) and target an outcome that addresses it. The way this outcome will be achieved is not yet known, but there is now an ambition to achieve it. You have an intended destination. - Ambition to Strategy
Now you know the outcome you want but not how to make it happen. What you need to do is find a course of action that will get you there. The best way to do this is to explore the routes (the strategies) available to you to get to your intended destination. Exploration doesn’t just involve conceiving of the routes – it includes testing out your assumptions in some small way to see how feasible they are. This testing of assumptions is essential if you are to successfully orientate on the strategy most likely to succeed. Never underestimate your ability to choose the wrong thing based on familiarity when you lack the evidence to make a value based decision. - Strategy to Proposition
To turn the intent of your strategy into something with real business potential you need to do some targeted research. What is the true value of the idea (the size of the prize) and what will need to change in your business and in the relationship with your customer to make it real? Once you understand this, you can shape your intent into a proposition that includes a viable business and service model. And always remember, research is not just a numbers game; it’s a hands-on activity where assumptions need to be tested and hypotheses proved.
- Proposition to Product
The first diamond from the Double Diamond Process, in which you discover the needs of the users involved in your proposition, and define the product required to fulfil those needs.
- Product to Market
The second diamond from the Double Diamond Process, in which you design the product and deliver it to the market, iterating on your design as you go based on user feedback and early indicators of success from the market.
In summary
- Product development is a cycle, not a straight line journey to done
The very act of introducing a new product to the market causes a ripple effect of change. Competitors will respond, either through emulation of your change or innovation to defend against it. Customer expectations will also change. What was once fresh and exciting will become commonplace as familiarity potentially breeds contempt. The cycle is self-sustaining. - It starts before an idea has formed or a problem has been identified
Limited perspective often leads people involved in the process to believe they are closer to the beginning than that really are. A new idea rarely emerges from nothing overnight. It is the product of an extended process stretching back weeks or even months. - Divergence expands understanding without judgement
It is tempting, when researching a situation, to filter the information you’re receiving and reject concepts that don’t fit your current understanding of the domain. All too often, the real solution (and definitely the innovative solution) lies in the unknown. This is why suspending judgement is essential to successful divergence. - Convergence chooses an answer by eliminating that which doesn’t work
Good convergence requires you to try things out; to test every assumption before deciding. It’s a hands-on activity, not an academic exercise. Nor is it a democratic process. Voting as a way to choose might be quick, but it relies on gut feel and prior assumptions. To do convergence you need practitioners to try things out and you need decision makers who act on the evidence of those experiments, not the security of familiar ideas.
And finally, if you take only one thing away from this article, make it this:
Limited or untested knowledge leads to bad decisions. To discover what you don’t know, diverge without judgement. To find the answer that works, converge through experimentation.