The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Delegation Based on the Situational Leadership Model

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  1. Challenges and Perceptions of Delegation
  2. Importance of Delegation
  3. Situational Leadership Model
  4. Detailed Analysis of Situational Leadership Scenarios Scenario 1: Unskilled and Unfamiliar a. Delegation approach for very junior individuals b. Importance of detailed explanation and feedback Scenario 2: Unskilled but Familiar a. Dealing with frustration and lack of knowledge b. Encouragement and supportive feedback Scenario 3: Skilled but Still Learning a. Transitioning to larger tasks b. Delegating deliverables and emphasizing goals Scenario 4: Highly Skilled and Natural a. Recognizing when tasks become second nature b. Avoiding assumptions about others' skills and experiences
  5. Leadership by Intent a. Emphasizing the importance of explaining the 'why' behind tasks b. Encouraging goal-oriented delegation for skilled individuals
  6. Continuous Learning and Growth a. Acknowledging that expertise is task-specific b. Encouragement for experienced individuals to take on new challenges
  7. Training and Support in Delegation a. Addressing the common issue of leaving new supervisors unsupported b. Importance of training and guiding individuals taking on supervisory roles

Stay tuned for more valuable insights and leadership content, and remember—effective delegation is not just about assigning tasks; it's about empowering individuals to contribute meaningfully to shared goals. Happy listening!


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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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