Course Introduction

The Advanced Public Management Decision-Making and Problem-Solving Training Course is an intensive professional development programme designed to strengthen the analytical, strategic, managerial, and practical capabilities of public-sector officials responsible for making complex decisions and resolving institutional challenges. Government managers routinely face competing priorities, limited resources, incomplete information, stakeholder pressures, policy constraints, operational disruptions, and rapidly changing circumstances. This course provides participants with structured approaches for understanding complex problems, evaluating evidence, developing practical alternatives, managing risks, making timely decisions, and converting decisions into measurable public-sector results.

The programme examines decision-making as a core public-management responsibility that directly affects policy implementation, service delivery, resource utilization, employee performance, institutional credibility, and public value. Participants will learn how to distinguish routine decisions from strategic and high-impact decisions, define decision criteria, identify relevant information, assess assumptions, compare alternatives, and determine appropriate courses of action. The course emphasizes disciplined reasoning while recognizing that public managers must often act under uncertainty, political and institutional constraints, time pressure, incomplete evidence, and competing stakeholder expectations.

Advanced problem-solving is another central focus. Participants will develop systematic methods for diagnosing organizational problems rather than treating symptoms. The programme introduces root-cause analysis, systems thinking, process mapping, stakeholder analysis, issue trees, scenario analysis, gap analysis, risk assessment, and structured questioning. Participants will learn how to identify underlying causes of poor performance, service bottlenecks, resource inefficiencies, coordination failures, workplace challenges, implementation delays, and institutional weaknesses. Practical exercises will help participants move from problem identification to solution design, implementation, monitoring, and learning.

The course also addresses the human and organizational dimensions of decision-making. Even technically sound decisions can fail when stakeholders are not consulted, employees do not understand their responsibilities, risks are poorly communicated, or implementation capacity is underestimated. Participants will therefore examine negotiation, stakeholder engagement, communication, consensus building, conflict management, delegation, accountability, and change leadership as essential components of effective decision implementation. The programme emphasizes how managers can create decision environments that encourage constructive challenge, evidence-based reasoning, ethical judgment, professional accountability, and responsible innovation.

Emerging technologies are transforming how public managers analyse information and make decisions. Artificial intelligence, predictive analytics, data visualization, automated workflows, digital dashboards, and decision-support systems can improve the speed and quality of management analysis. The course explores responsible use of these technologies while examining risks involving inaccurate information, algorithmic bias, cybersecurity, privacy, data quality, automation bias, AI-generated recommendations, and overreliance on technological outputs. Participants will learn how to combine technological capabilities with human judgment, institutional knowledge, ethical reasoning, and appropriate governance.

Through realistic management cases, decision simulations, root-cause analysis exercises, scenario planning, risk assessments, stakeholder negotiations, crisis decision-making activities, AI-supported analysis exercises, group problem-solving, and individualized action planning, participants will develop practical skills that can be transferred directly to their institutions. By completing the programme, participants will be better equipped to analyse complex public-management challenges, make timely and defensible decisions, solve persistent organizational problems, manage uncertainty, communicate decisions effectively, improve implementation, and strengthen institutional performance and public-service outcomes.

Duration

10 days

Who Should Attend

• Senior government executives responsible for strategic decisions, institutional performance, policy implementation, resource allocation, and organizational management.

• Directors, deputy directors, department heads, and senior managers who regularly resolve complex operational, administrative, financial, workforce, and service-delivery problems.

• Public-sector managers responsible for translating policies and strategic priorities into practical implementation decisions and measurable organizational results.

• Policy officers and advisers involved in policy analysis, evidence assessment, option development, recommendations, implementation planning, and executive decision support.

• Strategic planning and institutional development professionals responsible for organizational analysis, performance improvement, restructuring, planning, and strategic management.

• Monitoring, evaluation, and performance-management specialists responsible for analysing results, identifying performance gaps, developing corrective actions, and supporting evidence-based management.

• Programme and project managers responsible for managing implementation risks, resolving delivery challenges, coordinating teams, and making complex operational decisions.

• Finance, procurement, and resource-management officials responsible for analysing resource constraints, value for money, competing priorities, and institutional allocation decisions.

• Risk, governance, compliance, and internal-control professionals responsible for identifying institutional risks and supporting sound, accountable management decisions.

• Human resource and organizational development managers responsible for resolving workforce challenges, organizational capability issues, employee performance concerns, and management problems.

• Digital transformation and technology managers responsible for using analytics, artificial intelligence, automation, dashboards, and digital systems to support public-sector decisions.

• Crisis and emergency management officials responsible for making rapid decisions during disruptions, emergencies, service failures, and uncertain operational conditions.

• Government supervisors and middle managers seeking stronger analytical, problem-solving, decision-making, and management capabilities for current or future leadership roles.

• Public officials involved in institutional reform, process improvement, service modernization, change management, or organizational transformation initiatives.

• Experienced public administrators seeking advanced tools for improving decision quality, solving complex problems, managing uncertainty, and delivering sustainable institutional results.

Course Objectives

• Develop advanced decision-making capabilities for evaluating complex public-management issues, assessing alternatives, managing uncertainty, and selecting defensible courses of action.

• Strengthen participants’ ability to define problems accurately by distinguishing symptoms, underlying causes, contributing factors, constraints, risks, stakeholders, and desired organizational outcomes.

• Apply structured problem-solving frameworks such as root-cause analysis, systems thinking, issue trees, process mapping, gap analysis, and evidence-based diagnostic techniques.

• Improve participants’ ability to collect, assess, interpret, and communicate relevant information while identifying data limitations, assumptions, inconsistencies, biases, and evidence gaps.

• Develop strategic thinking capabilities for analysing interconnected institutional challenges, anticipating consequences, evaluating scenarios, and understanding the wider effects of management decisions.

• Strengthen risk-based decision-making by identifying threats, opportunities, uncertainties, dependencies, vulnerabilities, potential consequences, mitigation options, and appropriate escalation requirements.

• Equip participants with practical methods for generating, comparing, testing, prioritizing, and selecting innovative solutions that are feasible within public-sector resource and governance constraints.

• Improve stakeholder-management capabilities for understanding competing interests, communicating decisions, negotiating solutions, building consensus, managing resistance, and securing implementation cooperation.

• Develop decision-implementation skills involving action planning, responsibility allocation, resource alignment, timelines, performance indicators, monitoring mechanisms, corrective action, and executive follow-up.

• Enhance crisis decision-making capabilities for situations involving incomplete information, time pressure, operational disruption, uncertainty, reputational risks, emergencies, and rapidly changing circumstances.

• Develop responsible use of artificial intelligence, predictive analytics, dashboards, and digital decision-support tools while addressing data quality, privacy, bias, cybersecurity, and automation risks.

• Enable participants to create practical decision-making and problem-solving action plans that improve institutional responsiveness, service quality, resource efficiency, innovation, accountability, and measurable public-sector performance.

Comprehensive Course Outline

Module 1: Foundations of Public Management Decision-Making

• Understanding decision-making as a core public-management responsibility affecting policy implementation, resource allocation, service delivery, institutional performance, and public value.

• Distinguishing strategic, tactical, operational, routine, exceptional, individual, collective, reversible, and high-consequence decisions within public-sector management environments.

• Examining how organizational structures, governance arrangements, institutional culture, leadership behaviour, information quality, and stakeholder pressures influence management decisions.

• Exploring emerging decision-making challenges involving artificial intelligence, accelerated information flows, digital transformation, complex crises, fiscal pressures, and rising public expectations.

Module 2: Problem Definition and Issue Framing

• Defining management problems clearly by identifying the current situation, desired state, performance gap, affected stakeholders, constraints, consequences, and decision requirements.

• Distinguishing symptoms from underlying problems to prevent managers from applying short-term solutions that fail to address persistent institutional causes.

• Using issue framing, problem statements, stakeholder perspectives, evidence gathering, and structured questioning to establish a shared understanding of complex management issues.

• Addressing emerging framing challenges involving misinformation, conflicting data, rapidly changing conditions, digital transformation, AI-generated information, and ambiguous institutional responsibilities.

Module 3: Root-Cause Analysis and Diagnostic Thinking

• Applying root-cause analysis techniques to investigate operational failures, service delays, performance gaps, resource inefficiencies, coordination problems, and recurring organizational challenges.

• Using methods such as the five-whys approach, cause-and-effect analysis, process mapping, issue trees, fault analysis, and evidence triangulation to identify contributing factors.

• Differentiating immediate causes, systemic causes, organizational conditions, human factors, process weaknesses, technology limitations, and external influences affecting institutional performance.

• Addressing emerging diagnostic challenges involving complex systems, automated workflows, AI-supported processes, cybersecurity incidents, interconnected risks, and rapidly evolving operating environments.

Module 4: Evidence-Based Management and Information Analysis

• Developing systematic approaches for collecting, validating, interpreting, and synthesizing information needed to support sound public-management decisions.

• Evaluating data quality, reliability, relevance, completeness, timeliness, consistency, source credibility, assumptions, uncertainty, and potential bias before using information.

• Combining quantitative indicators, qualitative evidence, stakeholder perspectives, operational experience, research, evaluations, audits, and management information to strengthen decision analysis.

• Addressing emerging information challenges involving big data, real-time analytics, synthetic information, AI-generated content, information overload, data fragmentation, and digital misinformation.

Module 5: Strategic Thinking and Systems Analysis

• Applying systems thinking to understand how policies, institutions, processes, resources, stakeholders, technologies, incentives, and external factors interact within public-sector environments.

• Identifying interdependencies, feedback loops, unintended consequences, bottlenecks, leverage points, institutional constraints, and cross-sector effects before making significant decisions.

• Using strategic analysis to assess how current management decisions may affect future organizational capability, service delivery, resources, stakeholder relationships, and institutional resilience.

• Addressing emerging systems challenges involving climate risks, technological disruption, demographic changes, interconnected infrastructure, global uncertainty, and complex public-service demands.

Module 6: Option Development and Solution Design

• Generating multiple solution options through structured brainstorming, design thinking, benchmarking, process redesign, stakeholder consultation, innovation methods, and cross-functional collaboration.

• Evaluating proposed solutions according to feasibility, cost, risk, organizational capacity, implementation requirements, stakeholder impact, sustainability, and expected public value.

• Designing practical interventions that address root causes while considering available resources, institutional authority, workforce capability, technology requirements, governance arrangements, and implementation constraints.

• Addressing emerging solution-design opportunities involving artificial intelligence, automation, digital services, data-driven management, shared services, process intelligence, and citizen-centred approaches.

Module 7: Decision Criteria, Evaluation, and Prioritization

• Establishing transparent decision criteria that reflect strategic objectives, legal requirements, financial constraints, service outcomes, risk tolerance, stakeholder interests, and institutional capacity.

• Applying comparative analysis, weighted criteria, cost-benefit thinking, risk analysis, scenario assessment, feasibility testing, and multi-criteria decision methods to evaluate alternatives.

• Prioritizing competing initiatives according to urgency, impact, feasibility, resource requirements, risk, dependencies, strategic value, and expected improvements in public-sector outcomes.

• Addressing emerging prioritization challenges involving limited budgets, competing mandates, technology investments, climate pressures, workforce shortages, and rapidly changing public needs.

Module 8: Risk, Uncertainty, and Scenario-Based Decision-Making

• Identifying strategic, operational, financial, reputational, technological, legal, workforce, cybersecurity, and service-delivery risks associated with management decisions.

• Applying scenario planning and uncertainty analysis to prepare for alternative futures, unexpected developments, changing assumptions, external shocks, and complex institutional conditions.

• Developing risk responses involving avoidance, mitigation, transfer, acceptance, contingency planning, monitoring, escalation, and adaptive management.

• Addressing emerging uncertainty involving climate emergencies, cyber threats, AI-enabled risks, supply disruptions, economic volatility, misinformation, and compound public-sector crises.

Module 9: Stakeholder Analysis, Negotiation, and Consensus Building

• Mapping stakeholders according to influence, interests, expectations, responsibilities, potential resistance, decision impact, relationships, and relevance to proposed solutions.

• Applying consultation, negotiation, facilitation, active listening, interest-based bargaining, compromise, and consensus-building techniques to improve decision acceptance.

• Managing conflicting stakeholder priorities while maintaining institutional mandates, public interest considerations, professional standards, evidence-based reasoning, and accountability.

• Addressing emerging stakeholder challenges involving digital participation, online communities, cross-sector partnerships, social media pressure, misinformation, and increasing demands for collaborative governance.

Module 10: Decision Implementation and Management Follow-Through

• Converting management decisions into practical implementation plans that define objectives, actions, responsibilities, resources, timelines, dependencies, risks, and performance measures.

• Establishing accountability mechanisms that clarify who is responsible for implementation, who provides oversight, how progress is reported, and when corrective action should occur.

• Monitoring implementation through milestones, dashboards, performance indicators, review meetings, stakeholder feedback, operational information, and structured management follow-up.

• Addressing emerging implementation challenges involving digital transformation, automation, AI deployment, cross-agency initiatives, workforce adaptation, procurement constraints, and complex dependencies.

Module 11: Decision Communication and Executive Accountability

• Communicating management decisions clearly by explaining the problem, evidence, rationale, selected option, expected outcomes, responsibilities, risks, implementation requirements, and review arrangements.

• Preparing executive briefs, decision papers, presentations, management reports, and stakeholder messages that support understanding, accountability, implementation, and institutional alignment.

• Managing disagreement and challenging questions by acknowledging legitimate concerns, explaining evidence, clarifying assumptions, maintaining composure, and identifying appropriate review mechanisms.

• Addressing emerging communication challenges involving rapid information cycles, social media, AI-generated narratives, misinformation, stakeholder scrutiny, and demands for immediate transparency.

Module 12: Artificial Intelligence, Analytics, and Digital Decision Support

• Exploring how artificial intelligence, predictive analytics, data visualization, dashboards, automation, and decision-support systems can strengthen public-management analysis and responsiveness.

• Applying human oversight to AI-assisted decisions by verifying outputs, assessing source quality, checking assumptions, identifying bias, protecting confidential data, and documenting managerial judgment.

• Using analytics and digital dashboards to identify trends, anomalies, performance gaps, resource pressures, service bottlenecks, and emerging risks requiring management attention.

• Addressing emerging technology risks involving generative AI, autonomous systems, algorithmic bias, deepfakes, cybersecurity, data privacy, automation bias, and digital exclusion.

Module 13: Creative Problem-Solving and Public-Sector Innovation

• Applying creative problem-solving techniques to challenge established assumptions, identify new opportunities, redesign processes, improve services, and develop innovative institutional solutions.

• Using design thinking, service design, experimentation, prototyping, benchmarking, user feedback, cross-functional teams, and evidence-based iteration to improve public-sector interventions.

• Creating conditions where employees can propose solutions, test ideas responsibly, learn from failure, share knowledge, and contribute to continuous organizational improvement.

• Addressing emerging innovation opportunities involving generative AI, automation, digital public services, predictive systems, citizen-centred design, open data, and collaborative platforms.

Module 14: Crisis Decision-Making and Adaptive Management

• Applying rapid decision-making methods during emergencies, operational disruptions, disasters, cybersecurity incidents, service failures, reputational threats, and high-pressure situations.

• Balancing speed with evidence, uncertainty with accountability, operational priorities with stakeholder needs, and immediate response requirements with long-term institutional consequences.

• Establishing crisis decision structures involving authority, information verification, escalation, resource mobilization, communication, contingency actions, and post-event review.

• Addressing emerging crisis challenges involving climate events, cyberattacks, AI-enabled misinformation, infrastructure failures, supply-chain disruptions, compound emergencies, and rapidly evolving threats.

Module 15: Ethical Decision-Making and Governance

• Applying ethical reasoning to decisions involving public resources, employee interests, service priorities, confidentiality, conflicts of interest, fairness, accountability, and institutional responsibilities.

• Balancing efficiency, effectiveness, equity, legality, transparency, public interest, stakeholder needs, professional standards, and long-term institutional consequences.

• Strengthening decision governance through documentation, approvals, oversight, auditability, risk management, information controls, accountability mechanisms, and appropriate review processes.

• Addressing emerging ethical issues involving AI-assisted decisions, automated systems, employee data, predictive analytics, algorithmic discrimination, privacy, surveillance, and digital governance.

Module 16: Advanced Decision-Making and Problem-Solving Mastery

• Integrating problem definition, root-cause analysis, evidence assessment, strategic thinking, option development, risk analysis, stakeholder engagement, implementation, and evaluation.

• Developing repeatable management decision systems that improve decision quality, organizational responsiveness, implementation discipline, resource efficiency, accountability, and institutional learning.

• Establishing continuous improvement practices through post-decision reviews, lessons learned, performance analysis, feedback, experimentation, organizational learning, and corrective management action.

• Preparing individualized decision-making and problem-solving action plans covering priority challenges, analytical methods, decision criteria, stakeholders, risks, implementation milestones, performance indicators, and expected outcomes.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.