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LEADING FOR EXCELLENCE: The Future of Performance Management

Overview

Performance Management is often reduced to a bureaucratic, box-ticking exercise, yet it is essential for creating a productive and engaged workforce. Effective performance management is a continuous and dynamic process that aligns employees with organizational objectives, promotes open communication, and fosters a culture of accountability and continuous improvement.

Performance management is evolving from a rigid, bureaucratic process to a dynamic, AI-enhanced system that optimizes team productivity, enhances engagement, and enables real-time feedback loops. AI-driven analytics, digital performance tracking, and automation tools are transforming how leaders set objectives, track progress, and drive employee growth.

Leading for Excellence: The Future of Performance Management course prepares leaders to leverage AI-powered performance insights, digital feedback platforms, and real-time data analytics to build a culture of continuous improvement, accountability, and high performance.

The course incorporates self-assessment, self-discovery, group exploration, facilitator-led discussions, game-based learning, practical exercises, role-playing, peer coaching, and best practice theory exploration to ensure deep learning and application.

Price: $4,500.00

5-Day Training Program (4 Hours per Day)

Delivery Methods

Interactive & Experiential: A mix of self-reflection, case studies, and role-plays
Self-Discovery & Self-Critique: Encouraging deep personal insights
Group Exploration & Discussions: Peer learning and shared experiences
Game-Based Learning: Engaging activities for concept reinforcement
Best-Practice Theory: Grounded in evidence-based leadership models
Action-Oriented: Every session includes personal and team action planning

Objectives:

  • By the end of this training programme, participants will be able to:
  • Explain their role in managing the performance of their team.
  • Describe the key stages in the performance management process.
  • Use performance management skills and techniques to create a development plan.
  • Develop techniques to address poor performance effectively.
  • Review specific performance challenges within their teams.
  • Follow an action plan to implement key development strategies.
  • Automate and personalize performance improvement plans – Use AI-powered performance tracking to tailor development strategies for each employee.
  • Develop a future-proof performance management strategy – Adapt to AI-enhanced workplaces, predictive analytics, and digital coaching tools.

Programme Outline

Day 1: Understanding Performance Management

Delivery Methods: Facilitator-led discussion, self-assessment, group exploration, game-based learning, case study analysis

  • Introduction to Performance Management – Defining performance management, its purpose, and its impact on team success.
  • Self-Assessment Activity – Identifying personal leadership and management styles.
  • The Performance Management Cycle – Understanding the cyclical nature of performance management.
  • Facilitator-Led Discussion – Embedding a performance culture within an organization.
  • AI-Powered Goal Alignment: How AI aligns individual KPIs with company objectives using data-driven insights.
  • Game-Based Learning: The Performance Puzzle – An interactive exercise demonstrating the interconnectedness of performance elements.
  • Group Exploration – Common barriers to effective performance management and how to overcome them.
  • Case Study Analysis – Reviewing real-world examples of successful performance management.

 

Day 2: Setting Clear Objectives and Expectations

Delivery Methods: Practical exercises, interactive discussion, role-playing, group work

  • SMART Goal Setting – Defining and setting clear, measurable objectives.
  • AI for Goal Optimization: How AI-powered performance platforms refine goal-setting based on past performance data.
  • Practical Exercise: Crafting SMART Goals – Applying the SMART framework to real work scenarios.
  • AI-Generated SMART Goals – Participants use AI-based tools to refine and optimize team objectives
  • The Ability vs. Motivation Matrix – Identifying different approaches to employee development.
  • Leadership Style Adaptation – Applying the ability/motivation matrix to real work examples.
  • Interactive Discussion – Aligning individual goals with organizational strategy.
  • Role-Playing Exercise – Setting objectives and gaining buy-in from employees.

Day 3: Delivering Effective Feedback and Performance Reviews

Delivery Methods: Interactive activities, peer coaching, case studies, practice sessions

  • What is Effective Feedback? – The characteristics of constructive feedback.
  • Judgmental vs. Behavioural Feedback – Ensuring objective and actionable feedback.
  • Interactive Activity: The Feedback Challenge – Practicing real-time feedback scenarios.
  • Providing Difficult Feedback – Key strategies and techniques.
  • AI & Real-Time Feedback Platforms: How AI-powered coaching assistants provide personalized, automated feedback.
  • Performance Reviews: A Six-Stage Process – Structuring and conducting successful reviews.
  • Practice Exercise: Conducting a Performance Review – Simulated review sessions with peer feedback.
  • AI vs. Human Feedback Comparison – Participants compare AI-generated performance feedback with human-based evaluations.

Day 4: Managing and Addressing Poor Performance

Delivery Methods: Group case studies, facilitator-led discussions, role-playing, practical exercises

  • Understanding Poor Performance – Root causes and early identification.
  • The Process of Managing Poor Performance – Step-by-step approach.
  • Group Case Study – Analysing a performance issue and proposing solutions.
  • Using the GROW Model for Performance Conversations – Structuring coaching discussions for improvement.
  • AI for Coaching Low Performers: How AI-powered coaching tools tailor action plans for employee growth and retention
  • Practice Exercise: Joint Problem-Solving with GROW – Role-playing coaching conversations.
  • AI-Powered Performance Coaching Simulation – Participants use AI-generated recommendations to structure a performance improvement conversation.
  • Facilitator-Led Discussion – Strategies for preventing poor performance from recurring.

Day 5: Driving Continuous Improvement and Team Performance

Delivery Methods: Practical exercises, interactive discussions, peer review, commitment planning

  • Ten Ways to Improve Team Performance – Exploring best practices.
  • Practical Exercise: Performance Improvement Plans – Developing a structured improvement plan.
  • Interactive Discussion – Overcoming common implementation challenges.
  • Action Planning – Identifying key takeaways and personal development areas.
  • Self-Critique and Peer Review – Reflecting on personal strengths and improvement areas.
  • Final Game-Based Learning: Performance Mastery Challenge – A competitive group exercise reinforcing key learning points.
  • Commitment to Action – Each participant defines their next steps and accountability plan.

This interactive training programme ensures that participants leave with a clear understanding of performance management principles, practical tools to apply immediately, and a roadmap for continuous improvement in their roles. By embedding these strategies into their daily management practices, organizations will see improved alignment, communication, accountability, and overall performance.