Day 1:
Foundations of Decision-Making
Introduction to decision-making theories and models.
Understanding cognitive biases and their impact on judgment.
Overview of rational versus intuitive decision-making processes.
Group activity: Identifying biases in real-world scenarios.
Day 2:
Problem-Solving Frameworks
Root cause analysis using the Fishbone diagram and 5 Whys technique.
Applying SWOT analysis to assess internal and external factors.
Structured brainstorming methods for generating solutions.
Case study: Solving operational inefficiencies in a manufacturing plant.
Day 3:
Data-Driven Decision-Making
Leveraging data analytics for informed decision-making.
Interpreting key metrics and KPIs to guide strategic choices.
Tools for visualizing data effectively (e.g., dashboards).
Simulation exercise: Making decisions based on incomplete data.
Day 4:
Creative Problem-Solving Techniques
Introduction to lateral thinking and divergent thinking.
Using de Bono’s Six Thinking Hats for balanced perspectives.
Strategies for fostering creativity in teams.
Workshop: Developing innovative solutions to hypothetical challenges.
Day 5:
Implementation and Evaluation
Designing action plans for implementing decisions.
Measuring success through post-decision evaluation metrics.
Managing stakeholder expectations and feedback loops.
Final project: Presenting a comprehensive decision-making strategy.
