The way we ask questions and behave during UX sessions affects the data we collect and the interpretations of our findings. In order to collect good UX data, it is important for the moderator to be neutral, structured, and unbiased while setting a comfortable stage for participants to share their thoughts and reactions. In this interactive 45-minute session, you will learn about the importance of structured, unbiased methods to collecting user feedback. We will discuss different methods (e.g., in-lab testing, remote moderated/unmoderated testing, surveys, card sorting, focus groups) and pros/cons of each. You will learn about different data that can be collected from usability tests, including subjective (e.g., what participants verbalize about their experience), behavioral (e.g., what participants do) and implicit (e.g., what participants think but cannot explain) data. We will discuss how to ask participants questions in ways that do not introduce biases, and how additional methods, such as eye tracking, may be valuable in understanding the users’ experience. You will learn how to ensure the data we get from UX tests are reliable and valid.
Unbiased Methods to Understand the User Experience
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January 23, 2015 | Convey UX
Jennifer Romano Bergstrom, PhD
UX Researcher
@romanocog
Unbiased Methods to
Understand the
User Experience
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January 23, 2015 | Convey UX
How Many Participants?The path that got me here
1998-2002
2003-2009
2008-2011
2014
2011 - 2015
present
2014 – present: uxpa2015.org
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January 23, 2015 | Convey UX
prejudice in favor of or
against one thing, person,
or group compared with
another, usually in a way
considered to be unfair.
BIAS
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https://www.youtube.com/watch?v=G0ZZJXw4MTA
The way we ask questions impacts answers.
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How Many Participants?
User Experience (UX) Measures
Difficulty Ratings
A. How difficult was it for you to
complete the task?
B. Was the task difficult for you to
complete?
C. How easy or difficult was the task
to complete?
D. Please rate your difficulty in
completing the task.
1. Extremely difficult
2. Very difficult
3. Moderately difficult
4. Slightly difficult
5. Not difficult at all
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
✗
✗
✓
✓
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
Think-Aloud Protocol
A. Concurrent think aloud - while
completing tasks.
B. Retrospective think aloud – while
watching a video replay.
C. Retrospective think aloud – without
video replay.
D. A mix of concurrent and
retrospective think aloud.
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
Olmsted-Hawala, E. L. & Romano Bergstrom, J. C. (2012). Think-aloud protocols. Does age make a difference? Proceedings
from the Society for Technical Communication Summit, May 2012, Chicago, IL.
✗
✗
✓
✓
☐
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
Probing
A. While participant is completing
tasks.
B. At the end of the task.
C. At the end of the session.
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
✗
✗
✓
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
https://www.youtube.com/watch?v=jyMLDN9UOrE
Interrupting interferes with natural actions.
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Self-report data is great…
but it is not enough.
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https://www.youtube.com/watch?v=Oons6amow3I
People cannot complete dual tasks well.
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
Combining Measures
A. Concurrent think aloud and
accuracy.
B. Concurrent think aloud and time to
complete tasks.
C. Retrospective think aloud and
accuracy.
D. Retrospective think aloud and time
to complete task.
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
OBSERVATIONAL
• First click accuracy
• Task accuracy
• Time to complete tasks
• Click patterns
• Conversion rate
✓
✓
✓
• Olmsted-Hawala, E. L. & Romano Bergstrom, J. C. (2012). Think-aloud protocols. Does age make a difference? Proceedings
from the Society for Technical Communication Summit, May 2012, Chicago, IL.
• Olmsted-Hawala, E. L., Murphy, E. D., Hawala, S., & Ashenfelter, K. T. (2010). Think-aloud protocols: A comparison of three
think-aloud protocols for use in testing data-dissemination web sites for usability. Proceedings from CHI, April 2010, Atlanta,
GA.
☐
✓
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
Combining Measures
A. Concurrent think aloud and
accuracy.
B. Concurrent think aloud and time to
complete tasks.
C. Retrospective think aloud and
accuracy.
D. Retrospective think aloud and time
to complete task.
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
OBSERVATIONAL
• First click accuracy
• Task accuracy
• Time to complete tasks
• Click patterns
• Conversion rate
✓
✓
✓
• Olmsted-Hawala, E. L. & Romano Bergstrom, J. C. (2012). Think-aloud protocols. Does age make a difference? Proceedings
from the Society for Technical Communication Summit, May 2012, Chicago, IL.
• Olmsted-Hawala, E. L., Murphy, E. D., Hawala, S., & Ashenfelter, K. T. (2010). Think-aloud protocols: A comparison of three
think-aloud protocols for use in testing data-dissemination web sites for usability. Proceedings from CHI, April 2010, Atlanta,
GA.
☐
✓
@romanocog #ConveyUX
Higher accuracy and satisfaction
when moderators “coach.”
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January 23, 2015 | Convey UX
Self-report data combined
with observational data is
very useful…
but there is a filter.
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https://www.youtube.com/watch?v=Oons6amow3I
People think they make logical decisions.
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How Many Participants?
User Experience (UX) Measures
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
OBSERVATIONAL
• First click accuracy
• Task accuracy
• Time to complete tasks
• Click patterns
• Conversion rate
IMPLICIT
• Eye tracking
• Electrodermal activity
(EDA)
• Behavioral analysis
• Verbalization analysis
• Pupil dilation
Combining
Measures
A. Eye tracking with
concurrent think
aloud.
B. Eye tracking with
retrospective think
aloud
C. Eye tracking and
time to complete
tasks.
D. Eye tracking
alone.
• Romano Bergstrom, J. C. & Strohl, J. (2014). Improving government websites and surveys with usability testing: A comparison
of methodologies. Proceedings from the Federal Committee on Statistical Methodology (FCSM) Conference, Nov 2013,
Washington, DC.
• Romano Bergstrom, J. C. & Olmsted-Hawala, E. L. (2012). Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and
Usability Measures. Poster presentation at Usability Professionals Association (UPA) Conference, Las Vegas, NV, June 2012.
✗
✗
✓
☐
✓
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
OBSERVATIONAL
• First click accuracy
• Task accuracy
• Time to complete tasks
• Click patterns
• Conversion rate
IMPLICIT
• Eye tracking
• Electrodermal activity
(EDA)
• Behavioral analysis
• Verbalization analysis
• Pupil dilation
Combining
Measures
A. Eye tracking with
concurrent think
aloud.
B. Eye tracking with
retrospective think
aloud
C. Eye tracking and
time to complete
tasks.
D. Eye tracking
alone.
• Romano Bergstrom, J. C. & Strohl, J. (2014). Improving government websites and surveys with usability testing: A comparison
of methodologies. Proceedings from the Federal Committee on Statistical Methodology (FCSM) Conference, Nov 2013,
Washington, DC.
• Romano Bergstrom, J. C. & Olmsted-Hawala, E. L. (2012). Effects of Age and Think-Aloud Protocol on Eye-Tracking Data and
Usability Measures. Poster presentation at Usability Professionals Association (UPA) Conference, Las Vegas, NV, June 2012.
✗
✗
✓
☐
✓
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
User Experience (UX) Measures
Triangulated
Approach
• Self-report metrics
tell us why
participants think
they focus on
certain aspects.
• Observational
metrics tell us how
participants
navigate and
interact.
• Eye tracking tells
us what, how long,
and how often
participants focus
on design
elements.
SELF-REPORT
• Difficulty ratings
• Satisfaction ratings
• Think-aloud protocol
• Debriefing interview
• Probing
OBSERVATIONAL
• First click accuracy
• Task accuracy
• Time to complete tasks
• Click patterns
• Conversion rate
IMPLICIT
• Eye tracking
• Electrodermal activity
(EDA)
• Behavioral analysis
• Verbalization analysis
• Pupil dilation
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
What might this look like?
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How Many Participants?
Methods
30 “expert” and
30 “novice”
users recruited
Tasks using
web & app
Satisfaction &
Knowledge
Questionnaire
Debriefing
interview
• Recruit a mix of iOS and Android users.
• In-person moderated sessions (or remote sessions)
• Half of the participant will think aloud; half will work in silence.
@romanocog #ConveyUX
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How Many Participants?
• Example Tasks:
• Download app to your mobile device.
• Start a message with three friends.
• Check for new messages.
• Delete a message.
• Send a photo message.
• Send a text message to a contact.
• Change your notifications.
Methods
30 “expert” and
30 “novice”
users recruited
Tasks using
web & app
Satisfaction &
Knowledge
Questionnaire
Debriefing
interview
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
• Example Satisfaction items:
• How likely are you to use the app in the future? (1: not likely at all – 5:
extremely likely)
• How valuable is the app to you? (1: not valuable at all – 5: extremely
valuable)
• Example Knowledge items:
• Can others see when you are online? (yes, no, not sure)
Methods
30 “expert” and
30 “novice”
users recruited
Tasks using
web & app
Satisfaction &
Knowledge
Questionnaire
Debriefing
interview
@romanocog #ConveyUX
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How Many Participants?
• Example debriefing items:
• You seemed to hover your mouse over here often. Can you tell me about
that?
• Tell me what you thought about downloading the app.
• What would make this experience better for you?
• What is the one thing holding you back from using this tool?
• Please rate your overall satisfaction in using this app.
1. Extremely satisfied
2. Very satisfied
3. Moderately satisfied
4. Slightly satisfied
5. Not satisfied at all
Methods
30 “expert” and
30 “novice”
users recruited
Tasks using
web & app
Satisfaction &
Knowledge
Questionnaire
Debriefing
interview
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
UX Data
Qualitative
Quantitative
Self-Report
Satisfaction and knowledge
questionnaires
YES
YES
Verbal think aloud (half of
participants)
YES
NO
Moderator follow up
YES
NO
Observational
Time on page/task
NO
YES
Selection/click behavior
YES
NO
Success/fail rate
NO
YES
Conversion rate
YES
YES
Implicit
Verbalization analysis
YES
YES
Eye tracking
YES
YES
@romanocog #ConveyUX
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January 23, 2015 | Convey UX
How Many Participants?
Other Considerations
• Iterative Testing – Keep tasks and questions the same.
• We cannot objectively test our own designs.
• Social validation, pleasing the researcher, acing the test
• Age-related differences in performance
• Our job is not to explain the product.
• Coaching = leading = waste of time
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L., Chen, J. M., & Murphy, E. D. (2011). Conducting iterative usability testing on
a Web site: Challenges and benefits. Journal of Usability Studies, 7, 9-30.
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L. & Bergstrom, H. C. (2014). Older adults fail to see the periphery during
website navigation. Universal Access in the Information Society, in press.
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L. & Jans, M. E. (2013). Age-related differences in eye tracking and usability
performance: Web site usability for older adults. International Journal of Human-Computer Interaction, 29, 541-548.
@romanocog #ConveyUX
25. Click to edit Master title style
January 23, 2015 | Convey UX
How Many Participants?
Other Considerations
• Iterative Testing – Keep tasks and questions the same.
• We cannot objectively test our own designs.
• Social validation, pleasing the researcher, acing the test
• Age-related differences in performance
• Our job is not to explain the product.
• Coaching = leading = waste of time
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L., Chen, J. M., & Murphy, E. D. (2011). Conducting iterative usability testing on
a Web site: Challenges and benefits. Journal of Usability Studies, 7, 9-30.
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L. & Bergstrom, H. C. (2014). Older adults fail to see the periphery during
website navigation. Universal Access in the Information Society, in press.
• Romano Bergstrom, J. C., Olmsted-Hawala, E. L. & Jans, M. E. (2013). Age-related differences in eye tracking and usability
performance: Web site usability for older adults. International Journal of Human-Computer Interaction, 29, 541-548.
@romanocog #ConveyUX
Younger adults Middle-age adults Older adults
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January 23, 2015 | Convey UX
Are you ready to be unbiased?
Thank you!
Jennifer Romano Bergstrom
@romanocog
jenrb@fb.com
#ConveyUX