Design Going Forward
Design
Going
Forward
.
People are the
#1 asset. “
“
What percentage of people are sleep-‐
walking through the day?
Need to Engage Workers
70%
Case for Rethinking Work
What <me of day are you most
Produc<ve?
Are you an Owl or a Lark?
The 2pm slump
Where do you do your best thinking?
The
commute The
Shower
Exercising Vaca5on The office
Source :Teknion Cre8 facebook survey
44%
5%
30%
20%
1%
Where did you get your last BIG idea?
So what is
nega<vely impac<ng us?
There are different types of collaboration,
and
open space doesn't always equate to
collaboration.
Too much of a ‘good’ thing?
http://service.meltwaternews.com/mnews/redirect.html?docId=3064640938&userId=2275403&cId=104955&agentId=4971418&type=1&s=188501&url=http%3A%2F%2Fblodic.us%2Ftechnology%2Fhow-to-stay-productive-in-an-open-working-environment-99-0.htm
Susan Cain
Quiet: The Power of
Introverts in a World That
Can’t Stop Talking
The need to ‘refocus on focus’.
http://www.ted.com/talks/susan_cain_the_power_of_introverts.html
How oNen do you check your phone?
The ‘Ping’ Factor
Every 7 minutes
Distrac<ons
.
http://www.cnn.com/2013/05/01/tech/mobile/digital-detox-camp/index.html?c=tech
Tech Detox
What % of Americans feel the physical
embodiment of stress every day?
Some 70% of those surveyed said at
some point during the workday, they feel their stomach
tightens, their heart races, their palms grow damp, and/
or breathing becomes shallow.
Stress
.
‘Enhance ASen<on’
Take Control
‘Prac<ce Presence’ ‘ASen<on Therapy’
.
Tech Insanity to Tech Serenity
Social
Financial Community
Physical
Emo<onal
Career
Well-being is bigger
than Physical Health
Well-‐Being
Ranking one’s life today & in the future
e.g. Daily feelings; social connections, depression
e.g. Chronic conditions, obesity, physical pain, cold/flu
e.g. Smoking, healthy eating, exercise
e.g. Using strengths, supervisor relationships
e.g. Health access, community, financial
Work Environment
Healthy Behavior
Basic Access
Physical Health
Emotional Health
Life Evaluation
Source: Gallup-‐Healthways Well-‐Being Index:
Methodology Report for Indices; 2008
Well-‐Being Index
So how do you think your state fairs?
Diabetes
Well-‐being
Darker shades = Higher Prevalence
Darker shades = Higher Prevalence Darker shades = Higher Prevalence
Source: 2010 Gallup-‐Healthways WBI Community Data and CDC, 2007-‐2009
Obesity
Physical Inac<vity
Well-‐Being by Region
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1985
No Data <10% 10%–14%
(*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1986 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1987 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1988 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1989 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1990 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1991 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1992 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1993 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1994 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1995 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1996 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19%
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1997 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 1998 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%+
Obesity Trends* Among U.S. Adults
BRFSS, 1999 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
Source: U.S. Centers for Disease Control and Prevention (CDC)
No Data <10% 10%–14% 15%-19% 20%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2000 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2001 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%+
Obesity Trends* Among U.S. Adults
BRFSS, 2002 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2003 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2004 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2005 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2006 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2007 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2008 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2009 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2010 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: U.S. Centers for Disease Control and Prevention (CDC)
Obesity Trends* Among U.S. Adults
BRFSS, 2011 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” woman)
No Data <10% 10%–14% 15%-19% 20%-24% 25%-29% 30%+
Source: Centers for Diseases Control and Prevention, University of California at San Francisco, Institute for the Future. Reprinted from Advances, Robert Wood Johnson Quarterly Newsletter, 2000; 1:1
Influencers of Health
Access to Care Environment
Genetics Health
Behaviors
Health Behaviors
U.S. Healthcare Expenditures
88%
Other Access to Care
(treatment)
4% 8%
10% 20% 20% 50%
What’s the real issues?
Why are we so
disengaged and
unhealthy?
How much <me does the average person
stand in a day?
http://www.youtube.com/watch?v=LaH8KVysHOI
The average person only stands …
Is SiUng is Killing Us?
http://lifehacker.com/5800720/the-sitting-is-killing-you-infographic-illustrates-the-stress-of-prolonged-sitting-importance-of-getting-up
What Happens to the People in the movie Wall-‐E?
This is NOT the goal.
But it is becoming the reality
How to we
avoid that fate?
What’s the most flexible thing in any space ?
The most flexible thing in any space isn’t the
walls or the furniture,
it’s the people.
Collaborative areas
“Kitchen tables”
Open plan
Lower panels
Quiet rooms
Benching
Stand-up work spaces
Casual meeting areas/ Communal space
Ac<vity Based Design
Floor Plate Planning -‐ 2006
Floor Plate Planning -‐ 2008
Floor Plate Planning -‐ 2011
Floor Plate Planning -‐ 2013
As workers are able to work
anytime from anywhere,
the significance of the office will shift
from a place to do work to a place to
collaborate and engage others.
ShiN in Work
If we come to the office
to engage others,
then the space needs to enable that
interaction and be….
engaging.
ShiN to focus on people
Formula for Work
Providing a
variety of work settings
and areas for
information sharing
are key elements for fostering
innovative work.
“ “
How about
teleworking ?
What genera<on is working remotely the
most?
The Xers and Baby Boomers
are the prime Distributed
Workers.
They have kids, aging
parents, live in the suburbs,
have ‘tenure’, and are going
to be working longer so they
are looking for a soft
retirement.
“I’m in Motion”
Go-‐bility
“You don’t get an office. You get cargo pants.”
Mobility = moving to where the work is. That can be internal and
external.
Telework is having the
work come to you.
3rd Places community based locations where people gather to
work, like Starbucks
Co-working Centers where they
can find a desk on an as-needed basis.
“I’m Mobile”
What % of people that CAN telework DO?
But studies show that even when given
the option to work remotely
less than 10% of employees
are electing to do so.
They still tend to come to the office.
(Akyeampong 2007; Jones 2005; U.S. Census Bureau, 2004; Welz & Wolf,
2010,
Telework?
What are the main obstacles to teleworking?
1. Technology limitations
2. Lack of HR policies
3. Middle management resistance
4. We are human
Top 4 road blocks to telework
We are human.
We are territorial.
We are creatures of habits,
and we are social.
We are…
How do we get
moving ?
89
Ac<ve Design
Take a Stand
If I told you you could increase produc<vity by
66% right away, would you do it?
87% felt more comfortable,
87% felt energized,
75% felt healthier,
71% felt more focused,
66% felt more productive,
62% felt happier, and
33% felt less stressed.
Reduced upper back and neck pain by 54%
Benefits of Sit-‐to-‐Stand
Cogni<ve Ergonomics
So what’s the
BoSom line ?
How much money is wasted per person
every year due to interrup<ons?
.
Absenteeism
www.healthways.com 98
Michigan State Study
Overall Productivity Self-reported on a scale of 1-10
www.healthways.com 99 99
Well-‐Being =Produc<vity
Improve
Well-‐Being
Adopt or maintain
healthy behaviors
Reduce health-‐related
risks
Op<mize care for
health condi<ons and
disease
Increase
Performance
Energy
Engagement
Absence
Work Impairment
Reduce Total
Medical Cost
Hospitaliza<ons
Event Rates
Disease Rates
Lifestyle Risks
Increase
Economic Value
High Performing
Occupants
High Performing Buildings
Improved BoSom Line
www.healthways.com
Well-‐Being Value Proposi<on
If you don’t like change,
you’re going to like irrelevance even less.
General Eric Shinseki, Chief of Staff, U. S. Army
“ “
Going Forward
1. Focus on employment engagement to
increase productivity
2. Getting technology in check
3. Creating balance between concentrative and
collaborative space
4. Provide a variety of spaces to work in and
giving people more choices
5. Have a higher degree of customization
6. Encourage movement to improve well-being
7. Enable to engage each other and the work
Rise of the “Human Factor”
.
We are no longer simply
designing environments,
we are designing
the experience.
“
“