How to overcome Fixation and Bias in Creative Problem Solving

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Bias is the way humans interpret and evaluate the context and information about something according to how these are presented or how they perceive these through the lens of their values and beliefs. Bias can impair judgment and decision-making, so designers work to overcome insight problems by taking fresh approaches.
Learn about bias and how it affects design.
We have tendencies to see things in one way or another. And that's about all sorts of things. That can be about serious personal issues; it can be about trivial things. Often the way in which *something is framed to us can actually create a bias* as well. A classic example, and there are various ways you can do this, is what's called *anchoring*. So, if we're asked something and given something that *suggests a value*,
even if it's told that it's just there for guesswork purposes or something, it tends to hold us and move where we see our estimate. So, you ask somebody, "How high is the Eiffel Tower?" You might have a vague idea that it's big, but you probably don't know exactly how high. You might ask one set of people and give them a scale and say, "Put it on this scale; just draw a cross where you think on this scale from 250 meters high to 2,500 meters high.
How high on that scale?" And people put crosses on the scale – you can see where they were, or put a number. But alternatively, you might give people – instead of having a scale of 250 meters to 2,500 meters, you might give them a scale between 50 meters and 500 meters. Now, actually, the Eiffel Tower falls on *both* of those scales; the actual height is around 300 meters. But what you find is people don't know the answer; given the larger, higher scale, they will tend to put something that is larger and higher,
even though they're told it's just a scale. And actually, on the larger scale, it should be right at the bottom. Here, it should be about two-thirds of the way up the scale. But what happens is you, by framing it with big numbers, people tend to guess a bigger number. If you frame it with smaller numbers, people guess a smaller number. They're anchored by the nature of the way the question is posed. So, how might you get away from some of this fixation? We'll talk about some other things later,
other ways later. But one of the ways to actually *break* some of this bias and this fixation is to *deliberately mix things up*. So, what you might do is, say, you're given the problem of *building* the Eiffel Tower. And the Eiffel Tower I said is about 300 meters tall, so about 1,000 feet tall. So, you might think, "Oh crumbs, how are we going to build this?" So, one thing you might do is say, "Imagine instead of being
300 meters tall, it was just 3 meters tall. How would I go about building it, then?" And you might think, "Well, I'd build a big, perhaps a scaffolding, or 30 meters tall – I might build a scaffolding and just hoist things up to the top." So, then you say, "Well, OK, can I build a scaffolding at 300 meters; does that make sense?" Alternatively, you might say, "Perhaps it's 300,000 *miles* tall, basically reaching as high as the Moon. How might I build it, then?" Well, there's no way you're going to hoist things up a scaffold.
All the workers at the top would have no oxygen because they'd be up above the atmosphere. So, you might then think about hoisting it up from the bottom, building the top first, hoisting the whole thing up; building the next layer; hoisting the whole thing up; building the next layer – you know – like jacking a car and then sticking bits underneath. So, by just thinking of a *completely different* scale, you start to think of different kinds of solutions. It forces you out of that fixation. You might just swap things around. I mean, this works quite well if you're worried
that you're using some sort of racial or gender bias; you just swap the genders of the people involved in the story or swap their ethnic background, and often the way you look at the story differently might tell you something about some of the biases you bring to it. In politics, if you hear a statement from a politician and you either react positively or negatively to it, it might be worth just thinking what you'd imagine if that statement
came from the mouth of another politician, that was of a different persuasion; how would you read it then? And it's not that you change your views drastically by doing this, but it helps you to perhaps expose why you view these things differently. And some of that might be valid reasons; sometimes, you might think, "Actually, I need to rethink some of the ways I'm working."
“The world is full of people who have never, since childhood, met an open doorway with an open mind.”
— E. B. White, Author of popular children’s fiction such as “Charlotte’s Web”
In a far more immediately dangerous world, prehistoric humans learned to quickly frame situations to help them react with lightning-fast decisions. Millennia later, bias has the more negative associations of social prejudice, disadvantage and otherness. Still, it’s part of the human condition, complexly intertwined with instinct but at odds with rationality. For example, bias can let us accept words from some people (e.g., politicians who represent our values) which we’d reject from others. Nevertheless, if we don’t check our biased assumptions, they can cause false predictions and bad judgments.
Bias—like the umbrella term cognitive biases—is a barrier to ideation, especially from an organizational standpoint. It also arises in designers, simply because all humans are subject to some form of unconscious bias, and it’s far easier to detect bias in others than within ourselves. We have blind spots to how we perceive the world. In everyday linear thinking, the apparently logical steps we take to find solutions to problems sometimes depend on the biases we have. Moreover, even as processes such as design thinking prompt us to think more openly, the first obstacle is often the same bias that colors our views elsewhere. And as we push to explore the edges of the design space and think outside the box, it can become harder to notice how far we shift from rational objectivity as we go along with our own, subjective “realities”.
Major biases that can affect ideation include:
Anchoring: When you frame your questions in a certain way, you can influence the responses: e.g., asking users “Using 1–5 stars, how would you rate this design?” versus “How flawed would you say the design is: 70%? 30%?”.
Bandwagon: It’s easier to go along with the majority’s view than derail a discussion by countering with opposing ideas. Also called groupthink, this is a particular risk in ideation sessions.
Confirmation: We typically prefer looking for evidence to support our hypotheses or existing views of things. This leads to foregone conclusions. So, even if conflicting data arises (e.g., “35% of users dislike this feature”), it’s more comfortable if we downplay/overlook its value.
© Yu Siang and Interaction Design Foundation, CC BY-SA 3.0
To help improve your ideation efforts, design’s success and more, here are some tips:
Define your problem accurately so you can start to understand it fully. When starting your project, mind how you word the problem – the terms you frame it with can create bias. That’s why design thinking is so helpful, as you can begin to empathize with your users. And the personas you make can help wrench away assumptions to reveal how users from other backgrounds might truly experience things.
Swap in other actors in user stories (when you use storytelling). This can help if you’re concerned about accidentally making assumptions about your users regarding their gender, ethnicity, etc. By changing the actors and background in the story, you can spot if your view had distorted the previous version. Then, you can ask yourself why you made those assumptions about (e.g.) elderly users.
Look past “logical” norms (e.g., when you notice yourself thinking “This solution won’t work because the world doesn’t work that way!”). Your team may unconsciously act on preconceived generalizations about (e.g.) users’ socio-economic status or accessibility needs. For example, “Users with disabilities won’t need this high-intensity fitness app!” is a rotten foundation.
Get disruptive and suggest different (even unrealistic) scales to a problem. Challenge yourself to challenge the notion that a single approach is “the done thing”. Because bias can have outrageous effects, try to be outrageous and go for (e.g.) bad ideas to get a new perspective. This can break your bias and fixation on “the way to do it” – and help expose other ways of seeing the problem and different kinds of solutions. If you were to (e.g.) create a smartphone that was the size of a football field, what would that take? How would you have to adapt to the problem?
Use Six Thinking Hats. This method helps you adopt alternative viewpoints. You examine problems from six perspectives, one at a time (e.g., red hat = focusing on knee-jerk reactions/feelings; black hat = focusing on potentially negative outcomes), and so can achieve a tighter grasp of what your problem truly demands.
Overall, remember that bias is natural but—as it can slant your view of even the most innocent aspects of your users, etc.—is something to keep in check throughout your design process.
© Yu Siang and Interaction Design Foundation, CC BY-SA 3.0
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This blog explores several impactful biases from thought-provoking aspects.
Here’s another insightful piece, with helpful handling tips.
Consider these insights about bias from another angle.
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