Problem Definition

Problem Definition

TRIZ /Systematic Innovation Level 1

  • What the course teaches you

    It is human nature to begin working on a solution as soon as possible, neglecting the definition of the true problem. However, a poorly defined problem often leads to a solution that does not meet the real needs of the situation.

    This course will enable you to define the true problem.

  • Who the course is for

    • Innovation catalysts
    • Change managers
    • Business development managers
    • Project managers
    • Design engineers

  • How will you and your organisation benefit

    It’s often easy to tell you have a problem but difficult to work out exactly what the problem is. Lots of household names have used TRIZ to help with this.
    With TRIZ, companies such as Samsung, Proctor & Gamble and Nasa have brought their employees together to share structured, systematic approaches to defining the problem.

    Using TRIZ, your company will bring clarity to complex situations, identifying and defining the problem precisely in order to apply your best brains to the actual difficulty, rather than wasting hours on a beautiful solution to the wrong problem.

  • Length of course

    Course contributes 50 CPD hours.

  • Cost


  • Are You Eligible

    In order to be eligible for this course you need a genuine desire to find out more about Systematic Innovation and/or TRIZ. If you want to innovate successfully, building on the successful innovations of the past, this course is for you.

  • Syllabus

    Characteristics of innovation
    • What is innovation?
    • Innovation ‘DNA'
    • Dynamics of ‘wow'
    • Types of failure
    • Innovation examples

  • S-Curves
    • Discontinuous change
    • Characteristics
    • Innovation vs Operational Excellence
    • Fundamental limits
    • Hierarchies

  • Psychological inertia
    • What is psychological inertia?
    • Challenging assumptions
    • Saving the Titanic?
    • Turning harm into resource
    • Combination & partial resources

  • Time and space
    • Nine windows
    • Time, space, and interface

  • Ideal final result
    • Value equation and innovation North Star
    • The innovation maze
    • IFR & ‘Self-X’
    • Ideal attribute mapping
    • Attribute conflicts and pragmatic ideals

  • Function
    • Function, function–analysis and opportunity finding
    • Solutions from other domains
    • Outcome mapping and intangibles
    • Putting it all together

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