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STAKEHOLDER MAPPING & INFLUENCE: A Future-Fit Leadership Approach

Overview

Stakeholder engagement is no longer just about relationship-building and influence—it now involves AI-driven stakeholder analytics, sentiment tracking, and predictive engagement tools to optimize interactions, manage conflicts, and drive long-term collaboration. Leaders must learn to blend emotional intelligence with AI-driven insights to anticipate stakeholder needs, align business strategy, and create trust-based partnerships in a digital world. This 5-day interactive training program equips participants with the ability to identify, assess, and effectively engage with stakeholders. Through self-assessments, group exploration, game-based learning, and practical exercises, participants will develop a deep understanding of stakeholder dynamics, influence strategies, and conflict resolution techniques. The program focuses on building trust, managing expectations, and fostering long-term relationships to achieve sustainable success in projects, initiatives, and organizational change.

Price: $4,500.00

5-Day Training Program (4 Hours per Day)

Delivery Methods

🔹 Self-Assessments & Reflection – Self-discovery exercises for deeper insights
🔹 Games-Based Learning – Interactive challenges that reinforce thinking skills
🔹 Facilitator-Led Discussions – Engaging conversations with real-world applications
🔹 Case Studies & Business Scenarios – Exploring successes and failures
🔹 Group Problem-Solving & Debates – Encouraging diverse perspectives
🔹 Experiential Learning & Hands-on Activities – Bringing concepts to life

Objectives:

By the end of this 5-day program, participants will:

  • Understand the fundamentals of stakeholder engagement and its impact on organizational success.
  • Identify, analyse, and map stakeholders based on their influence, interest, and priorities.
  • Leverage AI-driven stakeholder mapping tools – Use AI-powered insights to identify, prioritize, and understand stakeholder influence networks.
  • Develop and apply communication and influencing strategies for different stakeholder types.
  • Enhance stakeholder communication with AI-powered sentiment tracking – Learn how AI detects emotional responses and engagement levels.
  • Navigate and resolve stakeholder conflicts effectively.
  • Optimize conflict resolution with AI-powered negotiation insights – Understand how AI can support mediation, dispute resolution, and de-escalation strategies.
  • Foster long-term relationships with stakeholders based on trust and transparency.
  • Align stakeholder engagement with business strategy and ethical decision-making.
  • Use predictive analytics for stakeholder relationship management – Explore AI-driven tools that forecast stakeholder behaviour and anticipate concerns.
  • Develop an actionable stakeholder engagement plan.
  • Develop a future-proof stakeholder engagement plan – Adapt to emerging AI-driven trends, digital transformation, and stakeholder analytics.

Programme Outline

Day 1: Understanding Stakeholder Engagement

Learning Objectives:

  • Define stakeholder engagement and its strategic importance.
  • Recognize the difference between stakeholder management and engagement.
  • Identify key challenges in stakeholder engagement.
  • AI for Stakeholder Sentiment Analysis: How AI-powered tools analyse stakeholder emotions, engagement levels, and feedback trends.

Activities & Methodologies:

  • Self-Assessment: Personal stakeholder engagement style.
  • Facilitator-led Discussion: What makes stakeholder engagement successful or unsuccessful?
  • Best Practice Theory Exploration: Models of stakeholder engagement (Mendelow’s Matrix, Salience Model, Freeman’s Stakeholder Theory).
  • Group Exploration & Practical Exercise: Stakeholder identification and categorization activity.
  • Game-Based Learning: “Stakeholder Detective” – identifying hidden stakeholders.

 

Day 2: Stakeholder Mapping and Analysis

Learning Objectives:

  • Understand stakeholder mapping tools and techniques.
  • Prioritize stakeholders based on their influence and interest.
  • AI-Powered Stakeholder Prioritization: How AI-driven analytics assess stakeholder influence, urgency, and strategic importance.
  • Align engagement strategies with stakeholder needs.
  • AI-Powered Stakeholder Mapping – Participants use AI-generated stakeholder analysis to refine their engagement strategies.

Activities & Methodologies:

  • Self-Discovery & Critique: Participants analyse their real-world stakeholder challenges.
  • Best Practice Theory Exploration: Power-Interest Grid, Influence-Impact Matrix.
  • Practical Exercise: Mapping stakeholders for a live case study.
  • Facilitator-led Discussion: Challenges of stakeholder prioritization.
  • Game-Based Learning: “Stakeholder Chess” – simulating stakeholder influence in decision-making.

Day 3: Effective Communication and Influence Strategies

Learning Objectives:

  • Develop tailored communication strategies for different stakeholder types.
  • AI & Persuasion Science in Stakeholder Communication: How AI-powered sentiment analysis helps refine messaging for different stakeholder types.
  • Master influence techniques to gain stakeholder buy-in.
  • Utilize emotional intelligence to build rapport and credibility.

Activities & Methodologies:

  • Self-Assessment: Personal influencing and communication style.
  • Group Exploration: Case study analysis – successful vs. failed stakeholder engagement.
  • Best Practice Theory Exploration: Cialdini’s Principles of Influence, Trust Equation.
  • Practical Exercise: Crafting and delivering stakeholder messages.
  • Role-Playing Game: “Stakeholder Conversations” – practicing engagement with difficult stakeholders.

Day 4: Conflict Resolution and Handling Difficult Stakeholders

Learning Objectives:

  • Identify sources of stakeholder conflict.
  • Apply negotiation and conflict resolution techniques.
  • AI & Mediation Support Tools: How AI-driven insights optimize negotiation strategies and de-escalation techniques.
  • Manage resistance and difficult stakeholders effectively.

Activities & Methodologies:

  • Self-Discovery & Critique: Personal approach to conflict resolution.
  • Best Practice Theory Exploration: Thomas-Kilmann Conflict Model, Interest-Based Negotiation.
  • Facilitator-led Discussion: Common mistakes in handling stakeholder conflict.
  • Practical Exercise: Conflict resolution scenario analysis.

Game-Based Learning: “Stakeholder Poker” – handling high-stakes negotiations.

Day 5: Building Sustainable Stakeholder Relationships

Learning Objectives:

  • Develop trust-based, long-term stakeholder relationships.
  • AI for Trust & Reputation Management: How AI-powered transparency tools enhance credibility and stakeholder trust.
  • Integrate ethical considerations in stakeholder engagement.
  • Design a personalized stakeholder engagement strategy.

Activities & Methodologies:

  • Self-Assessment: Measuring stakeholder relationship effectiveness.
  • Best Practice Theory Exploration: Transparency, Corporate Social Responsibility (CSR), and Ethical Leadership.
  • Facilitator-led Discussion: Stakeholder engagement in complex environments.
  • Practical Exercise: Developing a stakeholder engagement action plan.
  • Game-Based Learning: “The Engagement Journey” – applying all concepts in a real-world simulation.

Final Wrap-Up & Action Planning

  • Participants present their stakeholder engagement plans.
  • Peer feedback and facilitator coaching.
  • Personal commitments and next steps.

This comprehensive and interactive program ensures participants leave with practical skills, tools, and confidence to engage and manage stakeholders effectively in their professional environments.