The document discusses how IDEO integrated a bot into their design team to automate design processes, emphasizing the importance of combining qualitative and behavioral data to better understand user needs. It highlights the evolution of transportation and potential future scenarios with self-driving cars, while addressing the balance of desirability, feasibility, and viability in design thinking. Additionally, it raises ethical questions regarding automation and its impact on human design interactions.

1. How we introduced a bot to our design team
OCTOBER, 2017
Automating Design
Processes: An IDEO
Case Study

2. 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
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UX AT SCALE

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Quantifying
effectiveness
Observing
behaviour
New
inspiration
UX AT SCALE
MORE PEOPLE
IN HIGHER FIDELITY
OVER LONGER PERIODS OF TIME

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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

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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

6. 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
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UX AT SCALE

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UX AT SCALE

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Interaction
designer
Design
Researcher
Design
Director
Code
Tinkerer
UX AT SCALE

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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

12. 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
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OUR VISION AUTOMOBILITY

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OUR TOOLKIT VARIED

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UX AT SCALE
🔧🤖💬

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Automation ≠ Bot ≠ AI
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Automation ≠ Bot ≠ AI
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UX AT SCALE

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#1 Saving administrative time in the
Design Research process.
#2 Making it easier for non-technical
people to interact with user groups
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THE CHALLENGE

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UX AT SCALE

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UX AT SCALE

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The questions it raises
The questions this raises

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Amplifying human potential
— vs —
Designing ourselves out
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The ethics of deferring to
software systems
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Disproportionate impact
— vs —
Not having control
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33. Questions?
OCTOBER, 2017
Automating Design
Processes: An IDEO
Case Study