automating design processes for teams: an ideo case study
TRANSCRIPT
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?
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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
Usa
bilit
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s fou
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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
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?
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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
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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software systems
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Disproportionate impact — vs —
Not having control
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Questions?
OCTOBER, 2017
Automating Design Processes: An IDEO Case Study