2. UTILTY VS DISTRACTION
Making stuff people want is the the new persuasion
Tim Malbon, Partner and Co-founder
@madebymany @malbonster
Thursday, 11 October 2012
15. "LIKE AIR & DRINKING WATER, BEING
DIGITAL WILL BE NOTICED ONLY BY
ITS ABSENCE, NOT ITS PRESENCE"
Nicholas Negroponte (Founder of MIT Media Lab)
WIRED magazine December 1998
http://www.wired.com/wired/archive/6.12/negroponte.html
Thursday, 11 October 2012
16. "I'M USING POST-DIGITAL IN THE WAY
THAT PEOPLE MIGHT HAVE USED
POST-WAR IN 1913 OR 1938"
Russell Davies, Really Interesting Group
Thursday, 11 October 2012
20. "SPECULATING, HOPING...
WE HAVEN'T HAD THE WAR YET"
Russell Davies, Really Interesting Group
Thursday, 11 October 2012
21. YESTERDAY A BIG SHIFT
PRODUCTS &
22%
SERVICES
TOMORROW
COMMUNICATIONS
& BRANDING
78%
COMMUNICATIONS
22%
& BRANDING
PRODUCTS &
78%
SERVICES
Sami Niemelä – what
happens when the
computers disappear?
Thursday, 11 October 2012
22. FROM TO
MAKING PEOPLE MAKING STUFF
WANT STUFF PEOPLE WANT
@willsh http://smithery.co
Thursday, 11 October 2012
23. FROM TO
DUMB PRODUCTS CONNECTED
& INTERRUPTIVE SERVICE
BRAND EXPERIENCES
EXPERIENCES THAT PULL &
RETAIN
Thursday, 11 October 2012
24. BUSINESS STRATEGY
WHERE WE PLAY
PRODUCT & SOFTWARE
SERVICE DESIGN DEVELOPMENT
Thursday, 11 October 2012
25. LEAN START-UP
THINKING
WE DO A
HYBRID OF THIS
AGILE SOFTWARE
DEVELOPMENT
SERVICE
DESIGN
Thursday, 11 October 2012
27. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
Thursday, 11 October 2012
28. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
Thursday, 11 October 2012
29. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
Thursday, 11 October 2012
30. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
CUSTOMER & DATA-DRIVEN DECISION MAKING
Thursday, 11 October 2012
31. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
CUSTOMER & DATA-DRIVEN DECISION MAKING
PROTOTYPING
Thursday, 11 October 2012
32. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
CUSTOMER & DATA-DRIVEN DECISION MAKING
PROTOTYPING
A MINIMAL VIABLE PRODUCT
Thursday, 11 October 2012
33. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
CUSTOMER & DATA-DRIVEN DECISION MAKING
PROTOTYPING
A MINIMAL VIABLE PRODUCT
TEAMS MAKE DECISIONS, NOT CREATIVE DIRECTORS
Thursday, 11 October 2012
34. HOW WE WORK
RE-FRAMING HYPOTHESES AS REQUIREMENTS
RAPID VALIDATED LEARNING (LEARNING, NOT FAILING, FAST)
ITERATIVE NOT INCREMENTAL
CUSTOMER & DATA-DRIVEN DECISION MAKING
PROTOTYPING
A MINIMAL VIABLE PRODUCT
TEAMS MAKE DECISIONS, NOT CREATIVE DIRECTORS
NOT PRECIOUS ABOUT PROCESS
Thursday, 11 October 2012
37. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
big user
strategy research
Thursday, 11 October 2012
38. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
ADJUST
big user
strategy research
Thursday, 11 October 2012
39. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
ADJUST
big user design
strategy research and build
Thursday, 11 October 2012
40. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
MEASURE
ADJUST
big user design
strategy research and build
Thursday, 11 October 2012
41. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
MEASURE
ADJUST
big user design big new
strategy research and build strategy
Thursday, 11 October 2012
42. CONVENTIONAL, LINEAR DEVELOPMENT PROCESS
Big ideas, big bang launch, big budgets
MEASURE
ADJUST
big user design big new
strategy research and build strategy
Thursday, 11 October 2012
43. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
44. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
insights
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
45. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy
insights
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
46. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan
design
launch
measure
insights
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
47. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan
design
launch
measure
insights
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
48. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure
insights
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
49. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure
little
insights strategy
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
50. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure adjust
little
insights strategy
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
51. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure adjust
little
insights strategy
learning curve
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
52. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure adjust
plan
design
insights
little launch
strategy measure
learning curve
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
53. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
little
strategy plan insights
design
launch
measure adjust
plan
design
insights
little launch
strategy measure
learning curve
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
54. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
learning curve
little
strategy plan insights
design little
launch strategy
measure adjust
plan
adjust
design
insights
little launch
strategy measure insights
learning curve
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
55. ITERATIVE, AGILE, EMERGENT DEVELOPMENT PROCESS
Micro-strategies, big insights, rapid iterations
learning curve
little
strategy plan insights A. continue
design little
launch strategy
measure adjust
B. try something else
plan
adjust
design
insights
little launch
strategy measure insights
learning curve
Nicked and adapted for Web from David Armano
Thursday, 11 October 2012
60. BURBERRY
ART OF THE TRENCH
Thursday, 11 October 2012
61. VISITORS 330,000
BURBERRY COUNTRIES
AV. TIME ON SITE
PRESS COVERAGE REACH
191
5.5 MINUTES
6.8M
ART OF THE TRENCH OF DIGITAL
PAID MEDIA BUDGET
INCREASE IN TRENCH COAT SALES
LEADERS
£0
85%
INNOVATION IN LUXURY
FASHION
Thursday, 11 October 2012
67. SKYPE IN THE
CLASSROOM
SKYPE IN THE
WORKSPACE
Thursday, 11 October 2012
68. SKYPE IN THEOFF THE
NEW SERVICE LAYERS WHICH ARE
CLASSROOMPRODUCTS
PRODUCT ROADMAP
MARKETING TEAM ABLE TO BUILD
SKYPESKYPE IN THE TO
IN THE CLASSROOM TO SCALE
1 MILLION CONNECTIONS
WORKSPACE
Thursday, 11 October 2012
70. SKYPE IN THE
CLASSROOM
Thursday, 11 October 2012
71. SKYPE CAME TO US WITH A
COMMS BRIEF
They’d noticed that teachers all over the
world were using Skype in extraordinary
ways.
They wanted us to collect these stories
and use them to promote the service &
inspire other teachers.
Thursday, 11 October 2012
72. WE RESPONDED WITH SOME
NON-MARKETING IDEAS
Layer a new service on top of the basic
free communication service
Use a customer-centric and test-driven
way of working out what that service
would be
Thursday, 11 October 2012
74. We discovered immediately that their biggest obstacle was
actually finding other teachers who also used Skype
Thursday, 11 October 2012
75. GETTING OUT OF THE BUILDING
Daniela Callegari George Mayo
Middle school language arts teacher in
Maryland, USA
Pioneer in technology and education
Enthusiastic about helping the project
Primary school teacher in Italy
No experience with Skype in the classroom yet
Desperate to connect and find other classes
Lisa Reid 6th, 7th & 8th grade science teacher in Ohio, USA
No experience with Skype in the classroom yet
Dan Sutch Keen to start using Skype (has used EduSkypers)
FutureLab :: innovation in education
In-depth knowledge of education & technology
Open to ongoing involvement in project Tracy Peterson
Technology teacher in Iowa, USA
Has introduced her classes to initial Skype sessions
Keen to collaborate and extend usage of Skype
Thursday, 11 October 2012
80. HYPOTHESES PRODUCT
1. Ride the product
half-pipe
Insight Proposition Measure Refine Scale
EVIDENCE
Thursday, 11 October 2012
81. “ If Skype can have
170 million
connected users in
eight years, can’t
we have 1 million
connected
classrooms?
Tony Bates
President, Skype
September 2011
Thursday, 11 October 2012
82. THANK YOU
Tim Malbon, Partner and Co-founder
@madebymany @malbonster
Thursday, 11 October 2012