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© Innovative Intelligence Re-imagine SWEA Assembly, June 12, 2014 Claude Legrand Managing Partner Ideaction.

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Presentation on theme: "© Innovative Intelligence Re-imagine SWEA Assembly, June 12, 2014 Claude Legrand Managing Partner Ideaction."— Presentation transcript:

1 © Innovative Intelligence Re-imagine SWEA Assembly, June 12, 2014 Claude Legrand Managing Partner Ideaction

2 © A definition of insanity Doing things the way you’ve always done and expecting different results.

3 © Agenda  The problem with innovation  Innovative thinking

4 © Creating value with implemented ideas in everything you do and how you do it Defining Innovating

5 © Defining innovating Type > Levels of Change* Business Model Core Process Enabling Process Product System ServiceChannelCustomer Experience 1. Doing the right things 2. Doing things right 3. Improve doing the right things 4. Doing away with things 5. Doing things other people are doing 6. Doing new things (never done) 7. Doing what can’t be done * From The 7 Levels of Change by Rolf Smith

6 © WHY innovating?

7 © The nature of problems has changed

8 © SIMPLE

9 © COMPLICATED

10 © COMPLEX

11 © The nature of problems Complicated Ambiguity and uncertainty Experience is useful but limited Expertise can help but is not sufficient Success with a similar problem doesn’t guarantee future success Difficult to separate parts from the whole Complex High degree of certainty of context and outcome Experience is critical and often sufficient Requires expertise in specialized fields plus some coordination Solving a similar problem increases chances of success Problems can be broken down to solve Adapted from Brenda Zimmerman – Schulich School of Business, Toronto

12 © Growth in the knowledge economy Planned growth Time Growth

13 © Planned growth Actual growth Time Growth Growth in the knowledge economy

14 © Planned growth Actual growth Time Complicated problems Growth Growth in the knowledge economy

15 © Planned growth Actual growth Time Growth Complex problems Complicated problems Growth in the knowledge economy

16 © Planned growth Actual growth Time Growth Innovative Thinking Analytical thinking Growth in the knowledge economy

17 © Leadership

18 © Teamwork

19 © Innovative thinking

20 © Individuals and teams combining existing and new knowledge to solve the right problems or opportunities Innovative thinking

21 © FOCUS ON THE ANSWER ONE QUESTION JUST DO IT ELIMINATE AMBIGUITY AUTOMATIC LINEAR A OR B Which thinking for the future? Analytical Thinking

22 © Analytical thinking  We focus on the answer, not the question  There is only one question and one answer  We stop thinking as soon as we have the answer  Our automatic brain is more powerful than our intelligence  We always try to eliminate ambiguity  We use IQ tests to measure it

23 © “A good idea is dangerous, if it is the only one you have”. Alain (French philosopher)

24 © FOCUS ON THE ANSWER ONE QUESTION JUST DO IT ELIMINATE AMBIGUITY AUTOMATIC LINEAR A OR B FOCUS ON THE QUESTION CHALLENGE THE QUESTION STOP AND THINK ACCEPT AMBIGUITY STEP BY STEP THINKING DIVERGE AND CONVERGE A AND B + + + + + + + Which thinking for the future? Analytical Thinking Innovative Thinking +

25 © 5 step innovative thinking 1- Framework 2- Issue redefinition 3- Idea generation 4- Selection and implementation planning 5- Measure and improve

26 © 1- Framework  Clearly written question  Boundaries  Consensus on type of thinking  Ownership of the problem  Process planning

27 © How to.. ?  Short question  Clearly stating the end goal  Without plastic words

28 © Examples of Plastic Words  Soon  Improve  Objective  Often  Expensive  Change  Intelligence  Art/Culture  Service  Quality  Strategy  Communication  Creative  Better  Partner  Customer  Long term  Short term

29 © Boundaries  Must include  Must NOT include  The stakeholders as boundaries  Challenge the boundaries

30 © Type of Solutions Expected Number of solutions or ideas One Many Desired output Implementable solutions New ideas/directions Type of solutions expected Incremental Revolutionary Time Short Long |||||| | |||||| | |||||| | |||||| |

31 © Ownership  Who will make the final decision?  At what stage should they be involved?

32 © How to.. ? example How to build* the economy of the future based on assets that made it successful in the past? * For a community

33 © 2- Issue Redefinition  Identify the root causes  Break down the problem into homogenous parts  Break down the problem into a logical sequence  Understanding the issue at intellectual and emotional levels

34 © 3- Idea Generation  Prepare thoroughly  Apply divergent and convergent thinking  Nurture and combine ideas

35 © 5 Step innovative thinking process 1- Framework 2- Issue redefinition 3- Idea generation 4- Selection and implementation planning 5- Manage, measure and modify

36 © “The greatest obstacle to discovery is not ignorance, it is the illusion of knowledge” Daniel Boorstin

37 © THANK YOU Claude Legrand Managing Partner Ideaction


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