Advanced Public Programme Evaluation and Government Performance Review Training Course

Course Introduction

Government programmes are increasingly required to demonstrate not only that activities have been implemented, but also that public interventions are producing meaningful, equitable, sustainable, and cost-effective results. This advanced course provides a comprehensive framework for evaluating public programmes and conducting rigorous government performance reviews. Participants will examine how evaluation evidence can determine whether policies and programmes are relevant, effective, efficient, sustainable, well implemented, and capable of generating intended outcomes and impacts. The course connects evaluation practice with strategic planning, performance management, budgeting, accountability, learning, and continuous public-sector improvement.

Effective programme evaluation requires more than collecting data at the end of an intervention. It involves asking well-defined evaluation questions, developing appropriate evaluation designs, establishing credible criteria, selecting suitable evidence sources, analysing implementation and outcomes, and drawing defensible conclusions. Participants will learn how to formulate evaluation questions, develop evaluation frameworks, select methodologies, assess programme theories, establish baselines and counterfactual considerations where appropriate, analyse evidence, and communicate findings. The programme balances conceptual foundations with practical techniques applicable to government programmes operating in complex administrative and development environments.

Government performance reviews provide a complementary mechanism for assessing whether institutions, programmes, projects, departments, and service-delivery systems are performing as expected. Participants will explore how performance reviews can identify implementation bottlenecks, resource inefficiencies, weak controls, unrealistic targets, capability gaps, emerging risks, and opportunities for improvement. The course introduces structured approaches for reviewing efficiency, effectiveness, quality, timeliness, value for money, service outcomes, stakeholder satisfaction, institutional capacity, and sustainability while distinguishing performance problems from external factors beyond managerial control.

The programme places strong emphasis on evidence quality and analytical credibility. Participants will examine quantitative, qualitative, mixed-methods, administrative, survey, financial, operational, geospatial, and stakeholder-generated evidence. They will learn how to triangulate evidence, assess data limitations, distinguish correlation from causation, interpret findings carefully, and avoid common evaluation errors. Particular attention is given to contribution, attribution, counterfactual thinking, unintended outcomes, equity, distributional effects, sustainability, and contextual influences that may shape programme performance and evaluation conclusions.

Digital transformation is changing how governments evaluate programmes and review institutional performance. Participants will explore the use of data analytics, artificial intelligence, automated evidence processing, real-time monitoring, digital dashboards, geospatial information, remote sensing, predictive analytics, and emerging evaluation technologies. The course also examines the risks associated with these tools, including biased datasets, inaccurate automated outputs, privacy concerns, cybersecurity threats, algorithmic bias, poor interoperability, and over-reliance on technology. Emerging approaches such as developmental evaluation, real-time evaluation, complexity-aware evaluation, outcome harvesting, contribution analysis, and adaptive performance review are incorporated.

By the end of the course, participants will be able to plan and manage credible public programme evaluations and conduct structured government performance reviews that produce actionable findings. They will be equipped to assess programme relevance, implementation, efficiency, effectiveness, outcomes, impact, sustainability, equity, and value for money; interpret evidence; communicate findings; and develop practical improvement recommendations. The course ultimately supports a stronger culture of evidence-based government in which evaluation and performance review are used not merely for accountability, but to improve policies, strengthen implementation, allocate resources intelligently, manage risks, and achieve better outcomes for citizens.

Duration

10 days

Who Should Attend

• Senior government executives responsible for programme effectiveness, institutional performance, policy implementation, public-sector accountability, and strategic decision-making.

• Programme directors and managers responsible for planning, implementing, monitoring, reviewing, evaluating, and improving government programmes.

• Monitoring and evaluation managers responsible for evaluation design, evidence generation, performance reviews, programme learning, and results reporting.

• Evaluation officers responsible for developing evaluation questions, methodologies, data-collection approaches, analytical frameworks, findings, and recommendations.

• Government performance-management officers responsible for institutional reviews, performance indicators, scorecards, targets, management assessments, and improvement plans.

• Planning officers involved in programme design, strategic planning, results frameworks, performance measurement, policy implementation, and institutional reviews.

• Policy analysts responsible for assessing policy effectiveness, programme outcomes, implementation performance, evidence, and recommendations for policy improvement.

• Programme and project managers seeking advanced skills for evaluating implementation quality, results achievement, risks, efficiency, outcomes, and sustainability.

• Budget and finance officers assessing programme expenditure, resource utilisation, cost-effectiveness, value for money, and performance-informed resource allocation.

• Internal auditors and assurance professionals reviewing programme governance, controls, implementation effectiveness, performance evidence, and institutional accountability.

• Risk managers assessing programme assumptions, implementation threats, performance risks, emerging issues, mitigation measures, and resilience.

• Data analysts and research professionals supporting evaluation datasets, performance analytics, dashboards, quantitative analysis, qualitative evidence, and reporting.

• Government service-delivery managers evaluating quality, efficiency, accessibility, beneficiary outcomes, user experience, and operational performance.

• Development-sector practitioners and advisers supporting public-sector evaluation, programme reviews, institutional strengthening, results management, and evidence-based policy.

• Consultants and evaluation specialists assisting government institutions with programme evaluation, performance reviews, impact assessment, monitoring systems, evidence analysis, and organisational improvement.

Course Objectives

• Develop advanced knowledge of public programme evaluation principles and their application to government policies, programmes, projects, services, and institutional interventions.

• Strengthen participants’ ability to formulate clear evaluation purposes, questions, criteria, frameworks, methodologies, evidence requirements, analytical strategies, and reporting arrangements.

• Enable participants to assess programme relevance, coherence, implementation quality, efficiency, effectiveness, outcomes, impact, sustainability, equity, and value for money.

• Develop practical skills for evaluating programme theories, results chains, assumptions, causal pathways, implementation conditions, external influences, and unintended consequences.

• Equip participants with techniques for selecting appropriate quantitative, qualitative, mixed-methods, administrative, financial, survey, and stakeholder-generated evidence for evaluation purposes.

• Improve participants’ ability to assess evidence quality, validate findings, triangulate information, identify limitations, interpret uncertainty, and develop defensible evaluation conclusions.

• Strengthen competence in conducting government performance reviews that identify implementation bottlenecks, resource inefficiencies, capability gaps, risk exposures, and opportunities for institutional improvement.

• Develop practical approaches for analysing programme efficiency, cost-effectiveness, resource utilisation, service quality, timeliness, productivity, beneficiary outcomes, and value for money.

• Enable participants to use evaluation and performance-review findings to support policy decisions, programme redesign, resource allocation, risk management, strategic planning, and continuous improvement.

• Introduce advanced evaluation technologies including artificial intelligence, predictive analytics, geospatial analysis, real-time evidence, automated data processing, digital dashboards, and integrated performance systems.

• Promote ethical, inclusive, transparent, independent, and responsible evaluation practices that consider stakeholder perspectives, equity, privacy, confidentiality, sustainability, and potential unintended effects.

• Equip participants to communicate evaluation findings through high-quality reports, executive summaries, dashboards, presentations, management recommendations, and practical improvement action plans.

Comprehensive Course Outline

Module 1: Foundations of Public Programme Evaluation

• Understanding the purpose, principles, scope, and strategic value of public programme evaluation for accountability, learning, policy improvement, resource allocation, and public value.

• Examining the relationship between monitoring, performance management, evaluation, auditing, programme reviews, research, policy analysis, and other forms of government evidence.

• Understanding evaluation criteria including relevance, coherence, effectiveness, efficiency, impact, sustainability, equity, quality, and value for money.

• Exploring emerging evaluation challenges involving complex programmes, rapid policy change, digital transformation, climate pressures, uncertainty, and increasingly interconnected public interventions.

Module 2: Evaluation Planning and Evaluation Questions

• Defining evaluation purpose, intended users, decision requirements, scope, timing, resources, governance arrangements, ethical considerations, and expected uses of evaluation findings.

• Developing focused evaluation questions that address implementation, outputs, outcomes, effectiveness, efficiency, impact, sustainability, equity, and programme learning requirements.

• Establishing evaluation criteria and judgement standards that allow evidence to be systematically interpreted against programme objectives and stakeholder expectations.

• Addressing emerging evaluation-planning issues involving adaptive programmes, real-time decision-making, rapid evaluations, crisis interventions, and complex multi-agency initiatives.

Module 3: Programme Theory and Theory of Change

• Developing and assessing theories of change that explain how programme inputs, activities, outputs, outcomes, assumptions, and external factors are expected to produce intended results.

• Testing the logical coherence and plausibility of programme theories against implementation realities, available evidence, stakeholder experiences, and contextual conditions.

• Identifying weak causal assumptions, missing links, dependencies, unintended pathways, implementation constraints, and external influences affecting programme results.

• Exploring emerging approaches including systems thinking, complexity-aware evaluation, contribution analysis, outcome mapping, outcome harvesting, and adaptive theories of change.

Module 4: Evaluation Designs and Methodological Choices

• Comparing experimental, quasi-experimental, non-experimental, qualitative, mixed-methods, case-study, process, outcome, impact, and developmental evaluation designs.

• Selecting evaluation approaches according to programme characteristics, evaluation questions, data availability, resources, ethical considerations, timing, and decision-making requirements.

• Understanding strengths, limitations, assumptions, feasibility, validity, reliability, and practical implications associated with different evaluation designs.

• Addressing emerging methodologies involving rapid evaluation, real-time evaluation, complexity-aware approaches, digital evidence, remote research, and adaptive evaluation designs.

Module 5: Quantitative Evaluation Methods

• Applying descriptive and inferential techniques to examine programme performance, outcome changes, participant characteristics, trends, differences, relationships, and other measurable effects.

• Understanding baseline and endline comparisons, comparison groups, quasi-experimental approaches, statistical controls, sampling, and counterfactual reasoning.

• Interpreting quantitative results carefully while distinguishing statistical association, causal inference, programme contribution, implementation effects, and external influences.

• Exploring emerging analytical methods involving machine learning, predictive analytics, large administrative datasets, automated modelling, geospatial analysis, and advanced data visualisation.

Module 6: Qualitative and Mixed-Methods Evaluation

• Designing interviews, focus groups, observations, document reviews, case studies, stakeholder consultations, and other qualitative evidence-collection approaches.

• Applying qualitative analysis to understand implementation experiences, beneficiary perspectives, institutional behaviour, contextual influences, mechanisms, barriers, and unintended consequences.

• Integrating quantitative and qualitative evidence through mixed-methods designs to produce richer and more credible explanations of programme performance and outcomes.

• Addressing emerging qualitative challenges involving digital communities, online interviews, social listening, citizen-generated evidence, large text datasets, and AI-assisted qualitative analysis.

Module 7: Evaluation Data Collection and Evidence Quality

• Developing evaluation data-collection plans covering sources, instruments, sampling, responsibilities, timing, quality controls, ethical safeguards, storage, documentation, and verification.

• Assessing data quality in terms of accuracy, completeness, consistency, validity, reliability, relevance, timeliness, representativeness, and suitability for evaluation questions.

• Applying triangulation across administrative, financial, survey, qualitative, operational, geospatial, and stakeholder evidence to strengthen evaluation credibility.

• Addressing emerging evidence challenges involving automated data, mobile collection, remote sensing, sensor data, AI-generated information, privacy, cybersecurity, and interoperability.

Module 8: Government Performance Review Methodologies

• Understanding structured performance reviews and their application to ministries, departments, agencies, programmes, projects, service-delivery units, and government functions.

• Assessing performance against objectives, indicators, targets, standards, budgets, milestones, service commitments, implementation plans, and stakeholder expectations.

• Identifying performance gaps, bottlenecks, capability constraints, resource inefficiencies, governance weaknesses, process problems, and emerging risks requiring management action.

• Exploring emerging performance-review approaches involving real-time monitoring, predictive alerts, continuous performance assessment, digital scorecards, and adaptive management.

Module 9: Efficiency, Effectiveness and Value for Money

• Assessing programme efficiency by examining relationships between resources, activities, outputs, operational processes, costs, productivity, timeliness, and service-delivery performance.

• Evaluating effectiveness by determining whether programmes are achieving intended outcomes and whether observed changes can reasonably be linked to programme interventions.

• Applying value-for-money principles to examine economy, efficiency, effectiveness, quality, sustainability, and resource utilisation across public programmes.

• Addressing emerging value-for-money issues involving digital services, technology investments, climate expenditure, social value, lifecycle costs, sustainability, and outcome-based financing.

Module 10: Impact, Outcomes and Sustainability Assessment

• Assessing short-term, intermediate, and long-term outcomes and examining the extent to which programmes contribute to meaningful changes among intended beneficiaries.

• Applying appropriate approaches to attribution, contribution, counterfactual analysis, causal inference, outcome harvesting, and other methods for understanding programme effects.

• Evaluating sustainability by examining institutional capacity, financing, ownership, behaviour change, environmental factors, policy continuity, and long-term programme viability.

• Addressing emerging impact issues involving climate resilience, inequality, digital inclusion, demographic changes, technology disruption, unintended effects, and complex social outcomes.

Module 11: Equity, Inclusion and Stakeholder-Centred Evaluation

• Integrating equity considerations into evaluation design to assess who benefits, who may be excluded, how outcomes differ across groups, and whether programme resources are fairly distributed.

• Incorporating beneficiary perspectives, citizen feedback, frontline experiences, community evidence, implementing-partner insights, and stakeholder expectations into evaluation processes.

• Applying inclusive approaches that recognise accessibility, gender, geographic differences, socioeconomic conditions, vulnerability, service barriers, and distributional effects where relevant.

• Addressing emerging participation approaches involving digital consultation, citizen-generated data, participatory evaluation, online feedback, social listening, and inclusive data collection.

Module 12: Evaluation Ethics, Governance and Independence

• Establishing evaluation governance arrangements that clarify responsibilities, oversight, independence, stakeholder roles, quality assurance, approval procedures, and use of evaluation findings.

• Applying ethical principles covering informed participation, confidentiality, privacy, data protection, responsible evidence use, conflicts of interest, transparency, and respect for affected communities.

• Managing pressures that may compromise evaluation credibility, including political influence, selective reporting, conflicts of interest, weak independence, data manipulation, and predetermined conclusions.

• Addressing emerging ethical challenges involving artificial intelligence, automated analysis, sensitive administrative data, biometric information, digital surveillance, algorithmic bias, and responsible data use.

Module 13: Evaluation Reporting and Evidence Communication

• Developing evaluation reports that clearly present objectives, questions, methodology, evidence, findings, limitations, conclusions, recommendations, management responses, and lessons.

• Preparing executive summaries that translate complex evaluation evidence into concise information suitable for senior government decision-makers and other intended users.

• Using dashboards, visualisations, infographics, evidence tables, performance scorecards, and concise narratives to communicate findings without overstating certainty or simplifying important limitations.

• Addressing emerging communication practices involving interactive reports, open-data platforms, automated narrative generation, digital evidence portals, and AI-assisted reporting.

Module 14: Evaluation Findings, Recommendations and Management Action

• Developing practical recommendations that directly address identified performance problems, evidence gaps, implementation weaknesses, resource issues, risks, and opportunities for programme improvement.

• Prioritising recommendations according to urgency, feasibility, expected benefits, resource implications, institutional capacity, risks, and potential contribution to programme outcomes.

• Establishing management-response systems that assign responsibilities, deadlines, resources, follow-up mechanisms, monitoring indicators, and accountability for implementing evaluation recommendations.

• Addressing emerging improvement approaches involving adaptive programme redesign, rapid corrective action, innovation testing, continuous learning, and evidence-informed management cycles.

Module 15: Digital Technologies and AI in Programme Evaluation

• Exploring artificial intelligence, predictive analytics, automated evidence processing, natural-language analysis, geospatial technologies, digital dashboards, and real-time monitoring for evaluation purposes.

• Assessing how digital tools can accelerate data processing, identify patterns, support forecasting, automate routine analytical tasks, and improve access to programme-performance evidence.

• Establishing human oversight and quality controls to verify automated outputs and protect evaluation validity, transparency, confidentiality, accountability, and professional judgement.

• Addressing emerging technology risks involving AI hallucinations, algorithmic bias, inaccurate datasets, cybersecurity, privacy breaches, model opacity, deepfakes, and excessive technology reliance.

Module 16: Future-Ready Government Evaluation and Performance Review

• Developing integrated evaluation strategies that connect programme design, results frameworks, monitoring, performance reviews, evaluation, budgeting, risk management, learning, and strategic decision-making.

• Establishing evaluation maturity models that assess institutional capability, methodological competence, evidence quality, data systems, governance, independence, technology, leadership, and learning culture.

• Preparing evaluation functions for emerging approaches involving AI agents, predictive evaluation, digital twins, continuous assessment, real-time evidence, automated analytics, and advanced data ecosystems.

• Building practical action plans that strengthen evaluation quality, performance accountability, evidence use, programme effectiveness, resource efficiency, adaptive capacity, and measurable public-sector impact.

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.