On a scale of 1-10, how much do you love this workshop?
Ok, hopefully that is an obviously bad question, both because it hasn't happened yet and because it has some bias baked right in. But take a quick look around all the surveys floating out in the world, and they often don't seem much better. Surveys can be a powerful tool for a UX researcher, but many of us haven't learned how to get the most out of them. In this workshop we'll cover:
Best use cases for surveys (and when to avoid them)
An overview of question types
Guidelines for writing effective, unbiased survey questions
Tips to increase overall engagement and participation
Hands on practice crafting surveys
Basic survey analysis
4. Survey
“ a systematic method for gathering
information from a sample of
entities for the purpose of
constructing quantitative
descriptors of the attributes of the
larger population fo which the
entities are members”
-The Interwebs
5. IRL UX Surveys*
“ a way to get a whole lot of
responses to a series of questions to
help inform decisions”
9. Data that is
descriptive,
but not
necessarily
measurable.
Why?
How?
Where?
Qualitative
Data that can be
measured with
counts/
numbers.
How many?
How much?
What size?
What rating?
Quantitative
v.
17. ❌
• When you want to
identify quanti
fi
able
trends
• When you have already
identi
fi
ed assumptions
and want to get a
sense of scale
✅ v.
• When you need to
observe behavior
• When you need to
explore reasonings
behind decisions
• When you *could* get
the data another
way
19. Identify:
• What do you want to know?
• Why do you want to know that?
• What decisions will you make?
• How will you know you have enough/right
kind of data?
21. ⏲ 10 minutes
Imagine you work at an animal rescue nonpro
fi
t.
What sort of things might you want to know?
Why would that be useful?
What decisions might you make?
33. Sample size =
(z) ² x d x (1-d)
(e) ²
e = margin of error/con
fi
dence
interval = how much error you feel
comfortable baking in to your study
(expressed as plus or minus
fi
gure)
34. Sample size =
(z) ² x d x (1-d)
(e) ²
d = standard deviation = estimated
variation of responses (expressed
as a decimal)
35. Sample size =
(z) ² x d x (1-d)
(e) ²
d = standard deviation = probably
just put .5 because if you knew you
might not need to run a survey
36. Sample size =
(z) ² x d x (1-d)
(e) ²
z = z score = how many standard
deviations you are away from the
mean (look it up based on
con
fi
dence level)
37.
38. PRO TIPS
1) Decrease confidence
level
2) Increase margin of error
3) Realize it’s probably ok
not to be statistically
significant in a UX context.
4) Be pragmatic.
PRO TIPS
48. Use when:
• You don’t have well-
de
fi
ned potential
responses.
• You want to gather
qualitative feedback.
• You’re OK to spend
some time tagging/
analyzing data.
Text Box
52. Set your goal
Set a specific, targeted goal,
including hypotheses when you can.
53. Make sure to think
through…
• What you want to learn, including
decisions you want to make with
this effort and what sort of data you’ll
need to make those decisions
• What other data you might need to
tie this data to
• What visualizations or stats you
might want to represent
• What can you cut/learn somewhere
else?
55. Ask precise questions.
Which snack is most delicious and nutritious?
Apple
Cookie
Chips
Carrot
Brownie
Cheese
Probably most nutritious.
56. Ask precise questions.
Which snack is most delicious and nutritious?
But most delicious?
Apple
Cookie
Chips
Carrot
Brownie
Cheese
57. How often do you take a shower?
Every day
Every other day
Every 2-3 days
Every 3-4 days
Every 5-6 days
Once a week or less
With precise answers.
58. How often do you take a shower?
Every day
Every other day
Every 2-3 days
Every 3-4 days
Every 5-6 days
Once a week or less
What if I shower every 3 days?
With precise answers.
59. How often do you take a shower?
Every day
Every other day
Every 2-3 days
Every 3-4 days
Every 5-6 days
Once a week or less
(Promise, I showered today)
With precise answers.
60. How often do you exercise?
Not that much
Sometimes
Often
Pretty often
Really often
Super often
With precise answers.
61. How often do you exercise?
Not that much
Sometimes
Often
Pretty often
Really often
Super often
WTF does often mean?
With precise answers.
62. How often do you exercise?
Every day
A few times a week
Once a week
BETTER
A few times a month
Once a month or less
I don’t exercise
With precise answers.
63. Which of the following best describes you?
Sassy
Classy
Bada**-y
Make sure there are
appropriate answers.
66. Make it easy to answer.
What is the exact date and time that you
bought your last Apple device?
I have no clue
67. Make it easy to answer.
Have you bought an Apple device in the last
month?
Yes
No
68. But. Not too easy.
Do you want the incentive?
Yes
No
69. Try something like this instead.
Which of the following have you purchased in
the last month?
Mobile phone
Tablet
Television
Laptop
Desktop
None of the above
70. You can also have multiple “right” answers.
How many Apple devices do you own?
0
1
2
3
4
5 or more
71. You can also have multiple “right” answers.
Maybe I want to talk to anyone who has 3 or more.
How many Apple devices do you own?
0
1
2
3
4
5 or more
73. ⏲ 10 minutes
Thinking of that example animal rescue nonpro
fi
t
core goal you determined earlier.
1) Identify the right kind of questions to answer
those goal
s
2) Write 3 questions that map to the core
respondent needs; understand,
fi
nd, decide, and
plac
e
76. Use when:
• You want to see how
much someone
agrees with a
statement
• The responses don’t need
to be polar opposites.
Likert Scales
Measures agreement with a statement
77. Use when:
• The pair of objectives
are truly opposite.
• Respondents will be
able to easily
understand the
continuum.
Semantic Scales
Measures response on a continuum
78. Use when:
• There aren’t
necessarily two
opposite ends to
measure.
Unipolar Scales
Measures response on a non-polar scale
83. ⏲ 5 minutes
Let’s write appropriate scaling questions for the
following contexts:
1) Understanding perceived ease of us
e
2) Asking for a participants’ level of agreemen
t
3) Gauging importance of a particular feature
85. ⏲ 5 minutes
Let’s write appropriate scaling questions for the
following contexts:
1) Understanding perceived ease of us
e
2) Asking for a participants’ level of agreemen
t
3) Gauging importance of a particular feature
86. Adapted from Caroline Jarrett, adapted from “The Psychology of Survey Response”
In summary…
125. In short:
1. Set clear expectations.
2. Value people’s time and effort
appropriately.
3. Explore non-cash incentives.
4. Show participants how their feedback
makes an impact.
5. Experiment and switch up incentives.