By the end of this course, you will:

• Describe a personal mindset of unlearning and good work for navigating change

• Apply strategies to manage creative thinking processes and identify desired outcomes.

• Develop approaches to collect information and identify improvement areas.

• Apply divergent and convergent techniques to facilitate ideas generation with stakeholders.

• Describe innovation drivers and barriers to creativity.

• Demonstrate visualisation techniques to communicate ideas to stakeholders and collaborate with them to apply to different contexts.

• Design experiments to trial the implementation of ideas, improvements or solutions.

• Design and apply criteria to analyse outcomes of experiments and identify improvements to ideas implementation.

Through this course, you will be empowered to:

• Identify improvement opportunities using data and insights

• Generate innovative ideas that solve real business problems

• Facilitate productive ideation sessions

• Test and validate ideas before implementation

• Support a culture of innovation and learning

Pre-Read: Personal Mindsets

• Introduction to learning and unlearning for Good Work

• Unlearn to Learn

• Influences on Mindset

The Creative Thinking Process

• The four stages of the creative thinking process

• How creative thinking drives innovation, efficiency, and customer satisfaction

Identifying Opportunities for Improvement

• Using organisational goals and performance indicators to spot gaps

• Techniques for analysing data to derive insights

• How to prioritise issues for creative problem solving

Idea Generation Tools and Techniques

• Brainstorming and other facilitation techniques

• Overcoming common barriers such as groupthink and anchoring

• Tools for ideation

Collaborative and Visual Communication

• Using visual communication to express ideas and align teams

• Techniques for collaborative problem solving

• Communicating ideas effectively to different stakeholders

Experimentation, Testing, and Iteration

• Designing small-scale experiments to test ideas

• Collecting and interpreting feedback

• Using relevant metrics to assess outcomes

• Iteration techniques for improving solutions over time