OECD DAC Evaluation Standards Training Course
OECD DAC Evaluation Standards Training Course is designed for professionals, policymakers, and practitioners seeking mastery in international evaluation standards and best practices.

Course Overview
OECD DAC Evaluation Standards Training Course
Introduction
OECD DAC Evaluation Standards Training Course is designed for professionals, policymakers, and practitioners seeking mastery in international evaluation standards and best practices. Leveraging evidence-based evaluation, quality assurance, and results-focused frameworks, this course empowers participants to enhance accountability, transparency, and impact measurement in development programs. Participants will gain practical insights into evaluation principles, criteria, and methodologies aligned with global standards, ensuring credible, actionable, and high-quality evaluation outcomes.
This training combines hands-on exercises, real-world case studies, and interactive workshops to cultivate expert-level proficiency in OECD DAC standards. Through this program, participants will acquire skills in evaluation design, data quality assessment, ethical considerations, and adaptive learning strategies. By applying these frameworks, organizations can improve policy formulation, project effectiveness, and strategic decision-making across public, private, and non-profit sectors globally.
Course Duration
10 days
Course Objectives
- Understand the OECD DAC Evaluation Principles and their global relevance.
- Apply quality criteria for evaluations: relevance, effectiveness, efficiency, impact, and sustainability.
- Strengthen evaluation design and methodology for diverse development contexts.
- Enhance skills in data collection, verification, and analysis for robust evidence.
- Integrate gender, equity, and inclusion (GEI) considerations into evaluation frameworks.
- Apply ethical and professional standards in evaluation practice.
- Utilize mixed-methods approaches for comprehensive evaluation insights.
- Interpret evaluation findings for strategic decision-making and policy improvement.
- Build evaluation management and governance capacity.
- Develop stakeholder engagement strategies for participatory evaluation.
- Implement risk assessment and mitigation in evaluation processes.
- Leverage technology and digital tools for efficient evaluation reporting.
- Foster a culture of learning and adaptive management in organizations.
Target Audience
- M&E professionals in public and private sectors
- Development project managers
- Policy analysts and advisors
- Donor agencies and funding bodies
- Non-governmental organizations (NGOs) staff
- International development consultants
- Academic researchers in social sciences and development studies
- Government officials in planning and evaluation departments
Course Modules
Module 1: Introduction to OECD DAC Evaluation Standards
- Overview of OECD DAC and global evaluation context
- Core evaluation principles and criteria
- Historical evolution of evaluation standards
- Key terminologies and concepts
- Case Study: Evaluation of UNDP Development Programs
Module 2: Evaluation Design and Planning
- Developing evaluation frameworks and logical models
- Formulating evaluation questions and objectives
- Selection of evaluation approaches (formative, summative)
- Sampling strategies and data collection planning
- Case Study: Planning an Evaluation for Health Sector Reforms
Module 3: Relevance and Effectiveness Assessment
- Defining relevance and effectiveness in programs
- Establishing measurable indicators
- Monitoring progress towards goals
- Assessing program alignment with priorities
- Case Study: Education Program Impact Assessment in Kenya
Module 4: Efficiency and Resource Utilization
- Cost-effectiveness analysis
- Resource allocation and optimization
- Performance benchmarking
- Comparative evaluation of alternative interventions
- Case Study: Agricultural Project Resource Utilization Review
Module 5: Impact Evaluation Techniques
- Measuring short-term and long-term outcomes
- Counterfactual analysis and attribution
- Quantitative vs qualitative impact methods
- Evaluating unintended consequences
- Case Study: NGO Health Intervention Impact Study
Module 6: Sustainability Assessment
- Defining sustainability in development projects
- Environmental, financial, and social sustainability
- Strategies for long-term program continuity
- Risk and resilience analysis
- Case Study: Sustainable Water and Sanitation Project
Module 7: Data Collection and Verification
- Designing surveys and interview guides
- Sampling, triangulation, and validation
- Data quality assurance and reliability
- Ethics in data collection
- Case Study: Field Survey Evaluation in Rural Communities
Module 8: Gender, Equity, and Inclusion (GEI)
- Integrating GEI in evaluation frameworks
- Assessing disparities and barriers
- Inclusive evaluation methods
- Reporting and recommendations for GEI
- Case Study: Women’s Empowerment Program Evaluation
Module 9: Ethical and Professional Standards
- Codes of conduct in evaluation
- Confidentiality and informed consent
- Ethical dilemmas and mitigation strategies
- Professional accountability frameworks
- Case Study: Ethical Review of Humanitarian Project Evaluation
Module 10: Mixed-Methods Approaches
- Combining qualitative and quantitative methods
- Comparative analysis of methods
- Triangulation and data integration
- Case Study: Multi-method Evaluation of Social Protection Programs
Module 11: Stakeholder Engagement and Communication
- Identifying and mapping stakeholders
- Participatory evaluation techniques
- Effective reporting and dissemination
- Feedback loops and learning systems
- Case Study: Community Engagement in Health Program Evaluation
Module 12: Evaluation Management and Governance
- Planning and managing evaluation processes
- Team roles and responsibilities
- Governance structures for evaluation
- Budgeting and logistical considerations
- Case Study: Evaluation Management in a Multilateral Agency
Module 13: Risk Assessment in Evaluation
- Identifying potential risks and biases
- Mitigation strategies and contingency planning
- Risk monitoring frameworks
- Reporting risk findings to stakeholders
- Case Study: Risk Assessment in Humanitarian Interventions
Module 14: Technology and Digital Tools
- Data management and visualization platforms
- GIS, dashboards, and AI in evaluation
- Real-time monitoring and evaluation systems
- Reporting automation and analytics
- Case Study: Digital Evaluation of COVID-19 Response Programs
Module 15: Learning, Adaptive Management, and Continuous Improvement
- Applying lessons learned for program improvement
- Integrating evaluation into organizational learning
- Adaptive management strategies
- Building a culture of accountability and innovation
- Case Study: Adaptive Learning in Education Sector Programs
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
- Interactive lectures and presentations.
- Group discussions and brainstorming sessions.
- Hands-on exercises using real-world datasets.
- Role-playing and scenario-based simulations.
- Analysis of case studies to bridge theory and practice.
- Peer-to-peer learning and networking.
- Expert-led Q&A sessions.
- Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.