SlideShare a Scribd company logo
How we introduced a bot to our design team
OCTOBER, 2017
Automating Design
Processes: An IDEO
Case Study
TESTING WITH MANY USERS
We’re always looking for smart ways to learn more in less time.
This mentality has led our researchers to push the boundaries of
the data we can record in our research process.
Alongside the qualitative data we gather from interviews, we also
pull together behavioural data collected over longer time periods.
We might record someone’s steps per day, or the route they take
to work, in order to find insights into the patterns of everyday.
What do people really do?
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
2
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
3
Quantifying
effectiveness
Observing
behaviour
New
inspiration
UX AT SCALE
MORE PEOPLE
IN HIGHER FIDELITY
OVER LONGER PERIODS OF TIME
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
4
With the typical design research
we conduct, we find that small
numbers of the right people are
enough to uncover common needs
Usabilityproblemsfound
Number of users
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
5
UX AT SCALE
A key factor driving our work is the fact that we know what
people say and what they do are often be different. For this
reason, we not only interview people, but we also observe 

them at work and at play, so that we can design for the natural
inconsistencies of everyday life.
We Listen 

and Observe
THINK
FEEL
DO
SAY
TESTING WITH MANY USERS
We’re always looking for smart ways to learn more in less time.
This mentality has led our researchers to push the boundaries of
the data we can record in our research process.
Alongside the qualitative data we gather from interviews, we also
pull together behavioural data collected over longer time periods.
We might record someone’s steps per day, or the route they take
to work, in order to find insights into the patterns of everyday.
What do people really do?
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
6
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
7
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
8
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
9
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
10
Interaction
designer
Design
Researcher
Design
Director
Code
Tinkerer
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
11
ABOUT IDEO
(viability)
(feasibility)
(desirability)
PEOPLE
BUSINESS
TECHNOLOGY
DESIGN
THINKING
Truly innovative solutions require a balance of desirability,
feasibility and viability. Our design process begins with
understanding what is desirable from a human point of view, 

and marries this with what is technologically feasible and
economically viable.
We Practice 

Design Thinking
Emotional
Innovation
Experience
Innovation
Process
Innovation
Functional
Innovation
The Future of
Automobility
We’re on the cusp of a revolution in
transportation: What will streets
teeming with self-driving cars really
mean? Once our hands are off the
steering wheel and delivery trucks
have no driver, what will change in
our lives? The Future of Auto-
mobility is an online visualization 

of how life with driverless cars might
really look and feel. We considered
three scenarios: “slow becomes fast,”
which looks at how the experience 

of commuting will change when we
can look away from the road; “21st
century mule” where we examine
automated package-delivery fleets;
and “inverse commute,” where 

we envision workspaces moving
autonomously toward workers —
mobile offices parked in underused
areas of our cities.
Visit automobility.ideo.com
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
12
OUR VISION AUTOMOBILITY
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
13
OUR TOOLKIT VARIED
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
14
UX AT SCALE
🔧🤖💬
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
15
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
Automation ≠ Bot ≠ AI
16
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
Automation ≠ Bot ≠ AI
17
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
18
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
#1 Saving administrative time in the 

Design Research process.
#2 Making it easier for non-technical 

people to interact with user groups
19
THE CHALLENGE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
20
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
21
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
22
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
23
UX AT SCALE
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
24
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
25
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
26
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
27
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
28
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
29
The questions it raises
The questions this raises
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
Amplifying human potential
— vs —
Designing ourselves out
30
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
The ethics of deferring to
software systems
31
MATTCOOPER-WRIGHT••UXATSCALE••OCTOBER2017
Disproportionate impact
— vs —
Not having control
32
Questions?
OCTOBER, 2017
Automating Design
Processes: An IDEO
Case Study

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