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4D Design – Action steps

4D Design has a step by step approach, allowing for the transformation to unfold.

Action step 1: Innovation container and environment.

Focus:

  • Focuses on discernment about the innovation project.
  • Developing the readiness of the team as a container for the task ahead.
  • Developing the organization as a nurturing environment for change.

Benefits:

  • Appropriate structure.
  • Shared leadership.
  • Genuine community.

Development goals:

Learn how to function as a container for the innovation project:

  • Exploring each other’s perspectives on innovation and change.
  • Exploring how the environment of the project will affect it.
  • Exploring how essential qualitative data is to both developing a project and monitoring its progress.

Action step 2: Innovation interaction and construction.

Focus:

  • Focuses on engagement through groundwork.
  • Inviting stakeholders to the learning circle.
  • Creating strategic plans for the innovation project, team and organization.

Benefits:

  • Playful involvement.
  • Breakthrough learning.
  • Growth from within.

Development goals:

Learn how to design innovation collectively.

  • Learning how to take a 4D leadership role in interacting and co-creating innovation with your stakeholders.
  • Learning how to, with a collective, develop a project strategy that become the foundation for all decision making throughout your project.

Action step 3: Innovation implementation and exchange.

Focus:

  • Focuses on execution and implementation of the planned actions.
  • Monitoring and adjustment of the strategic plans based on the generated data.

Benefits:

  • Spirited performance.
  • High efficiency.
  • High productivity.
  • Elimination of barriers, to do a job quickly – with excellence and pride.

Development goals:

Learn how to 4D Design your collective innovation project.

  • Learning about how to iterate your project and build your team through sharing learning experiences.
  • Learning how to apply your project strategy through experimenting with resource allocation based on your own monitoring data.

07.06.2019