This thought was inspired by the book Design Expertise (Lawson & Dorst, 2009) which includes an interview with the architect Ken Yeang where the author mentions: "I give every new member of staff the practice manual to read when they join. They can not just see past designs but study the principles upon which they're based".
In other words, what would be the ethos behind your own unique design practice? When every designer is different in their own way, what would be one's own philosophy of practice?
This took me on a very reflective journey, digging into my very own practice back in India, and also with the Masters program here at TU Delft to understand the underlying practices and principles behind my very own way of doing design.
Writing the key principles, has in a way, made it explicit, my very own 11 fundamental principles behind my current workflow. Truest to the design process, the principles are still iterative and not exactly written on stone, however, this is a good start to thinking seriously about one's own practice manifesto.
It's always the case (at least with me) when the projects somehow magically gets completed in the last moment, few minutes away from the exact deadline when you wonder, and marvel at how stunningly true this law is. Commonly called as the Parkinson's law, it quotes that work expands so as to fill the time available for its completion.
You have five days to complete a project and it gets over after four weeks, 23 hours and 55 minutes (or somewhere around this borderline). But surprisingly so, when you have seven hours to complete the same task, you could still do a decent job at completing it in time. The time pressure does something magical to you.
To steer clear, I started having self-imposed deadlines which I started taking seriously when I realised how having milestones every week through sprints were making the design process more effective. Through this scrum approach, things were getting done more quickly than expected. The week finally wraps up on a better note with a standup meeting where the team discusses critical blockers and milestones achieved over this span. ^83ccd4
As [Naval Ravikant](https://nav.al/), Founder of AngelList puts it, human beings are not meant to be like cows, grazing on grass all day. We are closer to carnivores, the lions in this aspect. We train hard and we sprint and then rest for sometime until we are all set to sprint again. This quote summarises how the mental model of the design sprint should be perceived as. It is not about the number of hours put in, but the expected deliverable that comes out at the end of the weekly design sprint that matters the most. This helps overcome fixations of most kinds.
As a designer, we become more of an interlocutor, connecting various nodes, stakeholders in the form of engineers, users, scientists, governments and other stakeholders, to synthesize information in order to come up with a creative outcome.
In this journey of dealing with wicked problems, one might get lost assimilating information, be sidelined or might even find it difficult to comprehend. Empathy is that bulletproof shield that keeps one from continuing the journey. Adam Grant in the Tim Ferris podcast mentioned his workflow to achieve high-volume high-quality work done as follows, "When you feel unproductive, it doesn't mean you're lazy. Its often the sign that you haven't found what makes the project interesting to you or meaningful to others."
Once we empathise with the individual we are designing for, assimilation and synthesizing information becomes easier, as now we have the intent to get it done.
Empathy should come first. Grasping technology required to tackle this problem would become much smoother once priorities are set.
Framing of the words matters. And in the design process, it might become even more important to keep framing and reframing the problem until it makes sense in our context. For instance, when one is tackling an environmental issue, a slight change in the description of the problem from 'climate change' to 'global warming' could change the interpretations (George Lakoff, 2010) and the mental model related to it as well, thereby affecting the solutions that might come out of this eventually.
Choosing the right words. And choosing the words right. Both equally important in various governing aspects. For instance, mistaking an it's for an its, or a you are for an you're might just be the very thin line between being professional or being careless, which could eventually stifle a design agency. Collaboration between conscious grammar nazis becomes more productive, when we are busy involved with chasing meaningful outcomes rather than correcting spelling mistakes or punctuation marks.
Designers don't have to become rocket scientists to design rockets. There's a big difference between design and science. Design has no right or wrong. No optimal answer to the problems. Where promising directions are taken in terms of designing services to products to both products and services together.
Wicked problems, wicked designers and a wicked world
Design thinking for matchmaking
Coming back to the point, when designers come to a stage where they design rockets, my personal opinion is that they don't have to know the exact science behind the rockets to design it.
Ashlee Vance, in the [[Elon Musk]] biography gives the example of how Musk cold-called a couple of Russian rocket scientists to have talks with them. Thereby absorbing experiences and knowledge from the people he was around, becoming the 'one-day rocket scientist' quite literally. This becomes an important quality as a designer especially when communicating with various specialists in different fields. The designer here is an interlocutor. And being a 'generalist-specialist' helps.
Even when it comes to designing rockets. Or anything else which involves technology or multi-level stakeholders. As the conversations could change from rocket propulsion to political strategies. It really depends on the context and one has to understand the vocabulary of the context.
One might have usually encountered certain books existing as a compilation of various methods and methodologies (Delft Design Guide, Norbert Roozenberg etc) and it's always a struggle to use the right method in the right situation.
When a certain method doesn't work out as intended, we try to put the blame on the method or the facilitation of the process. Methods are sometimes incredibly useful, however, it should be looked at as a means to an end, but not as an end to itself. And while recommending methods to others, one should eat their own turtles. Or in other words, one should have skin-in-the-game, to have actually used it in practice and to recommend when one finds similar patterns from the past emerging in the current situation.
Therefore, they are a description of what one has executed in the past, and what could be applied, but not as a prescription. It can never be applied as a one-size-that-fits-all and one should always be skeptical about it.
As Nigel Cross puts it in the paper (The Method in their madness, 1996), methods are life-jackets, helping designers out in fuzzy situations and not straight jackets, to be normally applied to each and every situation without thinking critically as to whether the method should be applied or not.
Methods help orchestrate the 'madness' of designers.
Every body a designer.
Every one can involve in the design process.
Be it Sporty Susan, or Political Pete and even Single Stella. By nature everyone is born creative, and creativity is not something exclusive to the profession of design. Ideas exist in the intersections. And that's exactly some of the reasons why participation of key stakeholders in the design process can provide immense benefits. Direct users can provide key insights as 'experts of experience' whereas indirect users, or other stakeholders can help enriching the understanding of the problem by providing multi-fold vantage points.
However, it has to be looked carefully in terms of application as collaboration might not necessarily lead to creative solutions if that's what we're looking for. But would definitely provide a better understanding of the problem. The analogy is similar to a blind man touching an elephant from various sides, and getting a better understanding of what one's trying to perceive.
While involving stakeholders, the designer should play the role of a host at the dining table, carefully involving each participant with care and comfort as the best ideas come when at ease.
Prototypes should not be evaluated at its face value. But it has to be looked at as a tool for enquiry. As an investigation which sheds insights about the research question. In that regard, how beautiful the prototype would matter less if it doesn't really help guide the research through design process (Rust, Chris. 2004)
Prototypes need not exactly exist in a 'physical' space.
Einstein ran a series of visualised thought experiments for understanding physics better. Sometimes chasing beams of light mentally. On a similar note, prototypes need not be exactly demonstrated physically but could be done through role playing or through a series of thought experiments similar to how Einstein did. Qualities of the desired interaction could be demonstrated on the go without even a piece of paper. Just with your bare hands in a long train journey, one could iterate on the fly. Thats the power of an ultra-rapid prototype (Buchenau, 2000), when all you need is a chain-of-thought and some presence of mind.
Being relaxed gives you more creative ideas. For Salvador Dali, it came at a specific junction in his sleep phase, while holding a steel ball in his hand waiting for it to fall so that he could wake up and sketch his ideas that pop up in his dreamy state. For some others, it can come while sitting naked in a bathtub (eureka, eureka!) or when waiting for your bus at the stop.
It no longer has to be forced upon by sitting in a cubicle, brainstorming various possibilities using different coloured sticky notes, but it could come through rational flaneuring (the act of walking without any specific direction or destination) or even through lucid dreaming.
The mind which has spent enough time digging into the root cause of the problem, the best ideas emerge in itself through the co-evolution of problem and the solution (Cross & Dorst, 2001)
Perfect is the enemy of the good. What that means is that one could spend 100 hours on the same task which could probably be done with in 10 hours and be good enough.
Which is why Gert Hans, Founder of Scrum Academy suggests to timebox everything. 10 hours for the good job helps one to get closer to the goal than spending 100 hours for the perfect outcome.
Viki Pavlic, Pitching coach from TU Delft regularly cites how Ideas are only as good as you could communicate them. Which is one of the reasons why verbal prototyping plays a major role - By finding the right words which conveys the desired reaction for the product/service. As you move from one person to another, through the verbal prototype, one gets feedback and iterates on the fly with ones tongue. Water cooler conversations which start with, 'What are you working on?' usually end with another iteration of the verbal prototype if looked this way. ^f04d25
What are you working on?
Iteration #1: I am designing an affordable, reliant device for deaf blind runners.
What are you working on?
Iteration #2: I am helping deaf blind runners navigate their surroundings using a communication device...
And so on.
Getting the words right matters.
Lawson, B., & Dorst, K. (2009). Expertise in design. Design expertise, 81-112.
Lakoff, G. (2010). Why it matters how we frame the environment. Environmental Communication, 4(1), 70-81.
Dorst, K., & Cross, N. (2001). Creativity in the design process: co-evolution of problem–solution. Design studies, 22(5), 425-437.
Buchenau, M., & Suri, J. F. (2000, August). Experience prototyping. In Proceedings of the 3rd conference on Designing interactive systems: processes, practices, methods, and techniques (pp. 424-433).
Willemien Brand. (2017) Visual Thinking: Empowering People and Organisations Through Visual Collaboration
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