Decision-Making for Productivity Excellence

What Will You Learn?

• Day 1: Foundations of Decision-Making
• Understanding the importance of effective decision-making
• Overview of decision-making models and approaches
• Identifying common decision-making challenges
• Day 2: Decision Criteria and Data Analysis
• Establishing decision criteria for productivity goals
• Utilizing data analysis in decision-making
• The role of quantitative and qualitative data in decision support
• Day 3: Risk Assessment and Mitigation
• Identifying and assessing risks in decision-making
• Developing strategies for risk mitigation
• Balancing risk and reward in decision processes
• Day 4: Decision-Making Tools and Techniques
• Overview of decision-making tools (decision matrices, SWOT analysis, etc.)
• Applying scenario analysis and modeling
• Group decision-making techniques
• Day 5: Implementing and Evaluating Decisions
• Strategies for effective decision implementation
• Monitoring and evaluating decision outcomes
• Incorporating feedback for continuous improvement