Lightning Talk #12:7 cognitive biases we shouldn’t ignore in research by Ruth Ellison

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The researcher’s blind spot: 7 cognitive biases we shouldn’t ignore in research UX Singapore 2016 Ruth Ellison, Principal User Researcher, PwC’s Experience Centre @RuthEllison

Transcript of Lightning Talk #12:7 cognitive biases we shouldn’t ignore in research by Ruth Ellison

Page 1: Lightning Talk #12:7 cognitive biases we shouldn’t ignore in research by Ruth Ellison

The researcher’s blind spot: 7 cognitive biases we shouldn’t ignore in research

UX Singapore 2016 Ruth Ellison, Principal User Researcher, PwC’s Experience Centre @RuthEllison

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@RuthEllison from PwC’s Digital Services

Hi :)

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@RuthEllison

Free!

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Kiasu

Mr. Kiasu by Johnny Lau (Source: http://www.nlb.gov.sg/sure/wp-content/uploads/2013/10/Mr-Kiasu.jpg)

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The Zero Price Effect is a Cognitive Bias

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@RuthEllison

What is a cognitive bias? Mental shortcut

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We are all human Photo available under a CC by 2.0 licence https://www.flickr.com/photos/yellowbookltd/14907364551/

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@RuthEllison Image source: http://www.businessinsider.com.au/what-new-coke-looked-like-in-1985-2013-3

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Applying it to design research

Preparing Running

Analysing

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Preparing for research

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@RuthEllison

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Selection bias

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Multiple channels - mix of recruitment companies, social media, trusted networks

Avoid professional respondents

Careful screeners

Behavioural based recruitment

Dealing

with it….

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Running research sessions

Photo available under a CC by 2.0 licence: https://www.flickr.com/photos/gdsteam/20649386153

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Observer-Expectancy effect

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Source: https://medium.com/@userfocus/the-7-deadly-sins-of-user-research-22857c5a971b#.xb38ukdtr

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@RuthEllison

The way we frame our questions matter

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Loftus, E. F., & Palmer, J. C. Reconstruction of automobile destruction: An example of the interaction between language and memory. Journal of Verbal Learning and Verbal Behavior, 1974, 13, 585-589.

McLeod, S. A. (2014). Loftus and Palmer. Retrieved from www.simplypsychology.org/loftus-palmer.html

About how fast were the cars going when they smashed into each

other?

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About how fast were the cars going when they collided into each other?

About how fast were the cars going when they bumped into each other?

About how fast were the cars going when they contacted into each other?

About how fast were the cars going when they smashed into each other?

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Triangulate research

Use observational methods

Keeping positive-neutral body language, watch the tone of your voice

Avoid leading questions

Dealing

with it….

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I need a volunteer please

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2 4 8

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PwC’s Digital Services

What’s going on?

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Confirmation bias

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Take the opposing view

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Don’t just confirm your hypothesis, see if you can prove it wrong

Analysis of Competing Hypotheses (ACH)

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Use open ended questions

Some people think that soft drinks are bad for you. What do you think?

What’s your opinion about soft drinks?

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List assumptions

Be skeptical, especially if everyone agrees with you

Remain open

Consider all evidence equally

Multiple user researchers

Leave your ego by the door.

Dealing

with it….

@RuthEllison from PwC’s Digital Services

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Groupthink & the Bandwagon effect

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Triangulate with other research methods (e.g. observational)

Use a mixture of individual and group exercises

Avoid stating preferences and expectations at start

Give someone the devil’s advocate role to question assumptions

Dealing

with it….

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Anchoring bias

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37 https://www.flickr.com/photos/naotakem/17105160150/

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Consider the order of questions and designs carefully

Open ended questions

Alternate order in which participants are shown concept or design versions

Show version A first 1 3 5

2 4 6 Show version B first

Dealing

with it….

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Analysing

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Apophenia

41 Source: https://au.pinterest.com/pin/249738741807276910/

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Clustering illusion & reporting bias

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Sample sizes – it’s about the WHY

Consider evidence equally – not just the ones that confirm your belief/assumption

Collaborative analysis sessions

Strive for objectivity

Dealing

with it….

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How vulnerable are you to these biases?

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What percentage of the population will be more biased

than the average person?

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Are you more biased than the average person?

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Blind spot bias

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Listen with an open mind

Become more rational, but less rationalising

Continuous learning

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Always assess your method, your analysis and yourself for

bias

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We are all human

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@RuthEllison Image source: https://en.wikipedia.org/wiki/Twenty_Questions#/media/File:20_questions_1954.JPG

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Thank you :)

Say hello @RuthEllison

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Further reading

List of cognitive biases You are not so smart: a celebration of self delusion

9 Biases In Usability Testing

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