ux by the numbers: discovering the why from numbers
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©2013 Webnographer Limited
Discovering WHY from numbers
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©2013 Webnographer Limited
Why Numbers?Really, the question is: Why not?
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20th Anniversary of Nielson’s Law.
20 years ago it was expensive.
There was a diminishing return.
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N (1-(1- .31 ) n )
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0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%0%
20%
40%
60%
80%
100%
Lab Testing with 10 users
Remote Testing with 80 users
Visibility of the issue
Lik
eli
ho
od
of
dis
co
ve
rin
g a
n i
ss
ue
Discoverability Gap based on the Theory
The above Lab testing numbers mean that 10 users will find 85% of the issues with a visibility of 17%. The these numbers use
the formula from Nielsen, Jakob, and Landauer, Thomas K.: "A mathematical model of the finding of usability problems,“.
N (1-(1- .31 ) n )
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0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%0%
5%
10%
15%
20%
25%
30%
27%
21%
14%
8%
5%6%
2%3% 3%
1%
2%1% 1%
0%
2%1%
0%1%
1% 1% 1%
Likelihood of an issue occurring
Iss
ue
Dis
trib
uti
on
Issues that can be reliably found in the Lab(5 respondents)
18%56%
Issu
e d
istr
ibu
tion
is t
he
% o
f is
sue
s th
at
fall
into
ea
ch c
ate
go
ry o
f is
sue
vis
ibili
ty
5 respondents find 80% of issues with 30% visibilityBUT that is only 18% of ALL issues
18% of interactions with issues identified27% of interactions have no issue= 45.5% coverage
56% of interactions that have issues get missed.
Discoverability Gap based on data
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0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%0%
5%
10%
15%
20%
25%
30%
27%
21%
14%
8%
5%6%
2%3% 3%
1%
2%1% 1%
0%
2%1%
0%1%
1% 1% 1%
Likelihood of an issue occurring
Iss
ue
Dis
trib
uti
on
Issues that can be reliably found in the Lab(10 respondents)
28%
10 respondents find 85% of issues with 17% visibilityBUT that is only 28% of ALL issues
28% of interactions with issues identified27% of interactions have no issue= 55% coverage
45% of interactions that have issues get missed.
45%
Discoverability Gap based on dataIs
sue
dis
trib
utio
n is
th
e %
of
issu
es
tha
t fa
ll in
to e
ach
ca
teg
ory
of
issu
e v
isib
ility
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Benefits: Prioritise findings
0 50 100 150 200 250 300 3500%
5%
10%
15%
20%
25%
30%
35%
40%
45%
40%
9%
Because Remote Un-moderated
Testing evaluates designs with
large numbers of users,
actionable metrics have a small
margin of error. This allows the
prioritisation of insights and high
level decision making.
The findings from the lab have a
large margin of error because
they are evaluated with only a few
users. This makes it hard to
prioritise the findings.Number of participants
Margin of error
Remote Un-moderated TestingLab Testing
The chart uses Sauro’s 20/20 rule. The rule states that Testing with 20 users will produce a margin of error of +/-20%. Also see http://www.measuringusability.com/test-margin.php for an explanation of the 20/20 rule.
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Why care about WHY in quantitative research?
Why, why?
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Quant research is powerless without why
• If you know 50% of customers can’t find what they need. What can you change?
• If you cannot explain a finding, it is powerless.
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C P Snow
The 2 CulturesScience vs. humanitiesOne without the other is dangerous
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How to get WHY from numbers?
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WISDOM
KNOWLEDGE
INFORMATION
DATA
WHY
HOW
WHAT
THAT
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Theory first
Karl PopperA hypothesis is proven in the negative.
SocratesThe Socratic method influenced scientific method where you start with a hypothesis.
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Finding out WHY customers
want your product
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Nobel Prize
Winners of the Nobel prize in science were able to explain phenomenons in the world through theory first
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Design as hypothesis
Stakeholder Views
as hypothesis
Review methods
as hypothesis
Other dataas hypothesis
4 types of hypothesis for UX research
Hypothesis for why you are RIGHT
Hypothesis for why you are WRONG
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Optimum Path: • Is the shortest possible path to the target page.• Is the hypothesis of the designer of how customers behave.
Click on Broadband & Internet in Help and Support
Reached the Help hub page
Click on My connection is slow
Reach the “Slow connection” page
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Design as hypothesis
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x
x
x
x
x
x
x
x
There may be other alternative routes to the target page which are longer.
However, the interface should help people find the shortest path to the information. Customers do not want the scenic route. They want to get stuff done.
Longer routes can be an indication for the interface facilitating error recovery.
Lostness
Click on Broadband & Internet in Help and Support
Reached the Help hub page
Click on My connection is slow
Reach the “Slow connection” page
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Design as hypothesis
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Other Data as Hypothesis
Survey data Web analytics dataLab test findings
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Stakeholder Hypothesis
CONFUSION UNDERSTANDING
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Review Methods as Hypothesis
Heuristic Evaluation, Cognitive Walkthrough, or GOMS for each step of the design hypothesis
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Create a UX Hypothesis
The hypothesis is the theory WHY something happens.
• Write down a hypothesis for how customers behave
• What evidence do you need to support your hypothesis?
• What evidence do you need to disprove your hypothesis?
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To evaluate the research questions, participants are asked to complete a Webtask on the website.
The Webtask presents participants with a task to perform using the website. While they navigate through the site their interactions are recorded with our remote usability testing tool.
Remote usability testing records all interactions with the website, such as clicks, hovering, keystrokes, back press, page scrolling, time in each form item, errors per item, time on page, pages visited, task completion rate, time on task.
Participant’s interaction with the website allows us to collect comprehensive information regarding website usability, and customer behaviours.
Webtasks provide thus valuable insights on where and why customers are experiencing problems, and casts light on ways to improve website usability.
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Test your hypothesis through un-moderated remote usability testing
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Remote Usability Testing CanWhen using the right method
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