As humans, we are biased by design. Our intricate and fascinating brains have developed shortcuts through centuries of human evolution. They reduce an unimaginable load of paralyzing decisions, keep us alive, and help us navigate this complex world. Now, these life saving biases affect how we behave with modern technology. Understanding some of the theories and reasons why these biases exist is the key to unlocking their power. In this workshop we will cover some theories around how the brain works. We will review some of our mental shortcuts, take a look at some common biases, and learn how they affect our users, our research, and our designs. Lastly we will review some advantages of biases, and ways to identify and reduce bias. This workshop is targeted for designers who do their own research, and researchers looking to learn more about removing bias from their studies.
2. What is Bias?
How bias works in the brain
BIAS IN RESEARCH & TIPS FOR REDUCING IT
Recruiting
Facilitation
Analysis
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OUTLINE
3. “I am the sister of two Olympic gymnasts.
Yet these two gymnasts are not my sisters.
How is that possible?”
https://knowledgeone.ca/cognitive-bias-when-our-brain-plays-tricks-on-us/
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4.
5.
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7.
8. Our conscious brains can only handle something
like 40 bits of information a second,
while our unconscious minds can handle
11 million bits of information per second.
“
-Nick Morgan, Forbes
9.
10.
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12.
13. We put too much faith in the
accuracy of our intuition because
overriding it requires effortful work.
26. https://knowledgeone.ca/cognitive-bias-when-our-brain-plays-tricks-on-us/
Bias… our perception is affected by…
attentive or of attention selective factors of our attention
mnemonic factors related to our memory
of judgment a distortion of our judgment
of reasoning paradoxes in our reasoning
linked to the personality socio-cultural factors
Some 250 cognitive biases are generally classified into one of the
following five categories:
31. Selection Bias
We assume
participants of a
particular group will be
representative of the
whole
BIASED
We spoke to users from our ambassador program.
BETTER
We started with feedback from our ambassador
program, but also included feedback from new
users.
💡 Using random sampling can help ensuring each
member of the target population has an equal
chance of being included.
32.
33. Self Selection
Bias
People with particular
traits are more likely
sign-up or respond to
studies
BIASED
We ran an unmoderated study with provided
participants from their panel
BETTER
We ran an unmoderated study with panel
participants, and balanced it with feedback from our
in product recruitment.
💡 Where possible use mixed methods for
recruitment to help vary the pool and ensure a
broader selection.
34.
35. Availability
Bias
We put more weight
on information that
comes to mind more
quickly.
BIASED
I talked to two customers this morning who made a
great case for adding this new feature!
BETTER
We interviewed 15 of our current customers and
found that 13 of 15 would benefit from this feature.
💡While data can be reached with smaller numbers,
it’s recommended to layer rounds of research to
further refine understanding and perspectives.
38. “The information people provide during interviews
isn’t always accurate or reliable. Often, research
participants don’t know why they do things, what
they really need, what they might do in the future, or
how a design could be improved. To really
understand what people do, you can’t just ask them,
you have to observe them.”
-Jim Ross
39. Serial Position
Effect
We tend to forget
steps, focusing on the
beginning and the end
BIASED
“How would you go about buying a new car?"
BETTER
“Walk me through some of the steps you take when
deciding to buy a new car”
“How do you decide when you have found the right
car?”
💡 When observation isn’t possible, try to focus on a
recall walkthrough of a specific instances and focus
on the behaviors.
40. Retrospective
Bias
We may alter or distort
memories
unknowingly based on
current knowledge or
experiences.
BIASED
“What problems did you have when you signed up
last year?"
BETTER
“As a new user I would like to observe as you sign up
for this product for the first time. ”
41. Hindsight Bias
We may perceive past
events as more
predictable than they
were based on current
knowledge.
BIASED
“Did you expect that would happen when you
clicked the button?"
BETTER
“What would you expect to happen next? ”
42. Social
Desirability
Bias
We tend to answer in
ways that we think will
be most socially
acceptable
BIASED
“We think you’ll really love it, what do you think?"
BETTER
“We are looking for feedback on how well this is or is
not working to inform our next steps. On a scale of
1-10…”
💡 Try using multiple methods and triangulation to
identify discrepancies in feedback. Remain as
neutral as possible in question format, reduce visible
social observers.
43.
44. Focusing
Illusion
We tend to
overemphasize
particular aspects
when making future
predictions.
BIASED
“If we added a feature to allow for ____, would that
improve your experience with the product?"
BETTER
“We’ve prototyped a new feature in this flow, we’d
like you to try out for us”
45. Interpretation
Bias
When a scale is
interpreted differently
based on subjective
understandings or
perspective.
BIASED
“Do you use this most of the time?"
BETTER
“Which best describes how frequently you use this:
● Daily
● A few times a week
● A few times a month
● Less than once a month
● Other
💡 Be specific, avoid imprecise words like
sometimes, and often, and backup with data where
possible.
46.
47. Estimation
Bias
When we have
difficulty providing
accurate answers
regarding frequency
and numbers
BIASED
“Do you spend most of your day in meetings?”
BETTER
“How much time do you typically spend in meetings
each work day?”
48. Dunning-
Kruger Effect
The tendency to under,
or over, estimate your
knowledge or
experience.
BIASED
“Would you consider yourself novice, intermediate,
or expert?”
BETTER
“Describe some of the tasks you typically complete,
and your experience with the product.”
49. Experimenter
Bias
When researchers
unintentionally
influence participants'
responses or behavior
through their own
behavior
BIASED
“I think your really going to like the changes we’ve
made here [while smiling]”
BETTER
“Tell me what you think about the changes”
💡 Be careful of unintentionally leading questions,
tone of voice, or gestures may influence
participants' responses.
50.
51. Acquiescence
Bias
A tendency respond in
an agreeable way to
please or avoid
conflict.
BIASED
“Do you like working here?”
BETTER
“Please rate your satisfaction with this employer
based on the following scale. Note: All answers are
aggregated and anonymized.”
💡 Try to avoid leading questions, watch for
situations where a participant may feel their
responses could be judged. For example if their
information may get back to a manager, or directly
benefit the researcher.
54. Availability
Bias
The tendency to make
judgements based on
the ease with which
relevant examples
come to mind
💡 Use Objective Measures
Objective measures provide quantifiable data that is
less susceptible to biases. Ensure examples are
representative of the data.
55. Confirmation
Bias
When we have
preconceived
expectations and
intrprete findings that
support them.
💡 Think Statistically
The more statistical you are, the more you have to
consider the logic and rationality of a decision. Be
careful to frame the answer multiple ways and take
time to reason through it. This requires New Brain
thinking which can help to reduce Old Brain
defaults.
56. Anchoring Bias
Our tendency to rely
too much on existing
reference points when
interpreting the data.
💡 Be Critical of the Obvious
Think critically and approach the data
systematically. It can help to list things out as
individual points of feedback to consider.
Our old brain tends to focus on readily available
information, and when information is limited or
singular it is more likely to jump to conclusions.
57. False
Consensus
Effect
Our tendency to
overestimate the
extent to which others
share the same
opinions
💡 Get second opinions while fostering independent
thinking
Enlist additional observers to help in subjective
interpretation. Each person should write their own
inferences for each participant before meeting to
discuss the outcomes.
60. You can’t eliminate bias,
but you can reduce it.
● Use random and diverse sampling techniques
● Standardize research protocols
● Avoid leading questions, and be cautious of phrasing
● Be mindful of your own biases
● Triangulate with multiple methods
● Quantify where possible
● Get second opinion, and diverse perspectives
Congratulations if your figured it out, your logical brain is tuned in and you are thinking critically. For many of this, this feels hard, why?
We use learned patterns and stereotypes to quickly and unconsciously solve the problem, but when we can't it causes a discomfort pulls at our attention. We assume that gymnasts are women. However, is you consider they may be men… they become your brothers.
These assumptions are unconscious. Our unconscious processing is full of programmed defaults, that are constantly learning and used to reduce the load of the incredible amount of decisions and problems we are faced with like decision making.
Imagine all of these shoes are your size.. Which pair do you pick? We use a variety of heuristics to narrow down the options in your head based on context and past experiences.
Think about all of the different types of decisions you’ve made enough to get to this point today, How many were effortful? How many just sort of happened?
Deciding what time to get out of bed, choosing which outfit to put on, what you were going to bring with you, what you were going to eat for breakfast, which presentations to attend, etc.
Each of those decisions carried different weight and came with different considerations,
Photo by Sincerely Media on Unsplash
Now think of your most routine driving route, and how easy that is.. Or how easy it is to not even think about it. Not even remembering getting from A to B, or that you meant to turn and go to the grocery.
Its because of habits, and routines, even muscle memory, all unconscious. These Mental shortcuts are what reduce this load, your Brian relies on evolving heuristic or- “Rules of Thumb”.
In 17th century Rule of Thumb was a really common reference for a rough estimate, there are lots of versions, such as spacing on a sea chart for rocks, or a measurement of roughly 1 inch from end of thumb to knuckle.
-the important takeaway is while it's quick and Practical its not exact, or scientific. This is a perfect metaphor for what cognitive shortcuts are.
Ironically most origins of this saying are also rough estimates.
Image by Sincerely Media
How much to we really lean on our unconscious, we like to think we are pretty rational beings? This is almost too big to comprehend..
40 in 11M is roughly equal to 3.6 per million
To help illustrate that, this painting completely made of dots. (point out corner)
12 dots out of all the dots from the pointilism painting “A Sunday Afternoon on the Island of La Grande Jatte” by George Seurat
Reference: https://www.youtube.com/watch?v=aa-m8a-jZ0k based on the TedEd talk by Kim Preshoff
You might be asking, How can there be that much to process? It's not just heuristics and outcomes, there is also the inputs things like
sensory information from our environment.
visual processing, lots of movement,
auditory information, noises and sounds competing for your attention
social information and cues based on the others around you,
emotional assessments and stimumi,
memory formation, consolidation and retrieval.
The inputs, processing, and conclusions are indispensable in daily life. allowing us to process massive amounts of information very quickly and help us make decisions, solve problems, work from similar situations, manage time, assess risks etc.
Image by Steven Lewis
The tricky part is the bias that comes with mental shortcuts we use to make judgements.
Think about betting black vs red on roulette. We create patterns out of random events, for example even with radom odds like a coin flip each flip has the same chance, but we will create patterns and predictions about what will happen next based on the last flips. Our brains like to create stories, and reasons for things.
We also
making quick judgments from limited information
Anchoring our judgements
Lean on stereotypes
Creating causes and reasons without the full picture. accept ambiguity, reducing doubt.
Image by Naim Benjelloun
We go through the world pretty easily with shortcuts, but Some of our heuristics rely on stereotypes to make judgements. And when they fail then, our conscience attention is demanded. Otherwise we just keep on keeping on.
https://twitter.com/Psych_Memes/status/801511633352880128
Our unconscious brains are lazy, and will always look for the path of least resistance.
Think of it like sipping from a cup of water. You have a limited amount each day and you won’t waste it unless you feel it is really necessary.
This is why Change is Hard
We are used to handling most of our decisions as unconscious habits.
When an uninvited roadblock appears in our path It requires conscious thought and effort which is harder.
Effort can be incentivised through motivation and glucose. Glucose is a key resource used by our brain to get through effortful cognitive tasks.
Study done on judicial rulings by Israeli judges where they found judges gave more lenient decisions at the start of the day and after meal breaks.
They found rulings prisoners were 2x to 6x more likely to be released if they were one of the first 3, versus last 3 before a break.
80% of our behavior is unconscious, so as researchers and observers of behavior, we want to dig into this a bit further to help understand when it’s most likely to happen and how we can avoid it.
Do to that I’m going to lean on the The Triune Model (three part) brain as a set of metaphors to simplify the interplay between different regions. All of the regional references will be in broad strokes for illustration purposes.
The lizard brain, very primitive like the brainstem. Very primal.
It’s goal is to keep you alive. Regulate breathing, heartbeat, etc. Fight, flight or freeze.
This is the first half of the “old brain” - called that because evolutionary it’s more primitive and instinctive.
Really isn’t bias here, but it can be influenced by other areas of the brain.
Next is the mammalian brain or emotional brain.
This is the second half of “old brain” which includes the Limbic System and has a significant role in biases with emotions, memory, and social interactions.
We owe a huge part of our evolutionary success to our ability to relate to others subconsciously
Lots of purchasing decisions here (in two equally competing product, the one that fulfills us emotionally will be chosen). This is also where we connect to stories, and need to resolve emotional conflict.
neocortex or our “Thinking Brain”. This is considered our “New Brain” that is more evolved. And responsible for higher Level function.
It’s our Conscious thoughts and planning, Reasoning, logical, rational, thought.
Math, reading, imagination. Perception
This conscious complex thinking is how we often think of our ourselves as processing information, but in reality it has has been considered as lows a 5% of our overall brain activity.
It takes a lot of energy, and effort, and relies on a lot of glucose to function. When it gets tired, the older parts of our brain can overpower it.Emotions run high.
Our lizard and monkey brains can easily take over our conscious processing and rational thinking.
Oversimplified but useful for discussing different major areas and generalized functions.
We often default to the lower levels of the old brain and must work to use the upper levels of the brain.
Our lower level responses are so fast they are nearly automatic where our upper level cortex can take 4x times longer to respond.
The New Brain is the the more critical thinker
in charge of doubt and accepting or dismissing information.
It can handle incompatibility and complex processing.
It is effortful and in limited supply,
Used in for important processing.
The Old Brain is quick and can save our lives:
but it is also gullible, and biased.
It creates patterns and associations,
invents causes and intentions,
overgeneralizes and suppresses doubt.
It takes almost no effort and is leaned on when the stakes are low.
There are hundred of biases and they are perfectly normal. You can’t and don’t really want to get rid of mental shortcuts, but we do need to be aware of them, and the situations they are most likely to happen.
Jumping to conclusions, creating stories to fill gaps in memory, defaulting to cultural norms, faulty estimations
It can also be triggered, Our new brain isn’t listening and alert in the way the old brain is. This is one of the reason our wording really matters.
Asking someone the likelihood of an event it is more likely they will guess using mental shortcuts or heuristics that are plausible but not necessarily probable yet we’ll feel confident in it.
You have to cue the new brain to go into logical thinking mode to increase the likelihood of more rational analysis.
Image by Adrian from Pixabay
I’m highlighting some common areas, but as you saw in the large bias codex, this is by no means inclusive
That’s why it’s important to keep it top of mind and think critically in our work.
Biases here are mainly around assuming a smaller sampling represents the same outcome of larger numbers
When we recruit participants from a specific segment we have to be careful not to apply the findings to a more generalized audience.
5-8 participants will generally uncover a majority of usability issues.
10-20 participants is considered more appropriate for qualitative research.
Sometimes it can be hard not to get excited when we see a finding that feels really intuitive or related to our goals and run with them, but we still have to vet those findings, we can’t assume they align with the broader audience.
Kind of like confirmation bias before the study has even started. Can cause stakeholders to think a study isn’t needed.
Here are some additional variations. To recap there are a lot of ways bias might sneak into your recruiting, think about the samples you are getting and where you are recruiting from and how that will affect your overall insights.
Response Bias is really anything that gets in the way of getting an accurate answer from a participant,
we will just be reviewing some of them around questions that we ask, and how we ask them.
UX Matters article
We remember the beginning and the end better than what's in between
Keep self report focused on attitudes, and believes and try to avoid process oriented questions.
Quick note that biases are often multifaceted, there could be many factors at play at once, but i’m going to try to single out specific areas of consideration.
Try not to ask questions that rely too much on memory, we tend to fill gaps with stories our old brain has made up that feel most likely to have happened but are not necessarily accurate.
This bias arises from a desire to present oneself in a positive light or to avoid appearing ignorant or inadequate.
“Lie Witness News” - Start at 1:25
Try not to ask questions that require the participant to predict the future or design the interface
It’s all relative
Estimates tend to be optimistic and exaggerated, this is another great one that we could have put in the recruiting with screeners.
Similar but a little more specific
You can’t get around this to some extent, but try to be neutral and consistent as much as you can.
Similar to the Hawthorne effect where participants change their behavior because they know they are being watched. Knowing you answer as a participant is anonymized.
It’s important to remember that participants aren’t trying to mislead us don’t be frustrated with them or their answers like a kid in trouble. They are doing their best, we have to work to be part of the solution in helping them tap into more logical responses, part of the value of mental shortcuts is that they are automatic and unconscious.
It’s up to us as researchers and designers to consider how we are asking for feedback and where bias is most likely to sneak in.
We must apply an ongoing effort to ensure that we are approaching our work with as much objectivity and fairness as possible.
This is similar to primacy and recency where we tend to remember the first or last participant better.
Similar to Observer Bias where as an observer our preconceived notions influence our assessments.
The more we can do to get into the New Brain, the more bias we can remove because the New brain is the more logical rational thinker.
However, we have a cognitive threshold that is easy to max out, the more our attention is taxed the more likely we will default to mental shortcuts.