Program Evaluation and Evidence-Based Decision Making Course

Introduction

Program Evaluation and Evidence-Based Decision Making enables organizations to assess the effectiveness, efficiency, relevance, sustainability, and impact of programs and projects. In today's results-driven environment, governments, NGOs, development agencies, corporations, and international organizations are increasingly required to demonstrate measurable outcomes and justify investments through credible evidence. This course equips participants with practical skills and methodologies for conducting rigorous evaluations and using findings to improve decision-making and organizational performance.

The course explores the principles, frameworks, and methodologies of program evaluation across different sectors and contexts. Participants will gain a comprehensive understanding of evaluation designs, performance measurement systems, theory of change, logical frameworks, and results-based management approaches. Through practical examples and case studies, learners will develop the capacity to assess whether programs are achieving intended objectives and delivering value to stakeholders.

As organizations face increasing pressure to maximize impact with limited resources, evidence-based decision making has become a strategic necessity. This course provides participants with the tools to collect, analyze, interpret, and utilize data effectively for planning, implementation, policy formulation, and resource allocation. Emphasis is placed on transforming evaluation findings into actionable insights that support strategic and operational decisions.

The course also addresses emerging trends in evaluation practice, including data analytics, digital monitoring systems, real-time evaluation, artificial intelligence applications, big data utilization, adaptive management, and participatory evaluation approaches. Participants will learn how modern technologies and innovative methodologies are reshaping evaluation processes and improving the quality of evidence available for decision making.

Through interactive sessions, practical exercises, and real-world case studies, participants will strengthen their competencies in evaluation planning, stakeholder engagement, indicator development, survey design, impact assessment, data quality management, and reporting. The course emphasizes both quantitative and qualitative approaches to ensure comprehensive evaluation and evidence generation capabilities.

Upon completion, participants will be able to design and implement robust evaluation frameworks, generate credible evidence, communicate findings effectively, and support organizational learning and accountability. The acquired skills will enable them to make informed decisions, improve program performance, enhance stakeholder confidence, and contribute to sustainable development outcomes and organizational success.

Who Should Attend

• Monitoring and Evaluation Officers
• Program Managers and Coordinators
• Project Managers
• Development Practitioners
• Government Officials and Policymakers
• NGO and CSO Professionals
• Donor Agency Representatives
• Research and Learning Specialists
• Data Analysts and Statisticians
• Strategic Planning Officers
• Results-Based Management Specialists
• Performance Management Officers
• Public Sector Administrators
• Impact Assessment Specialists
• Consultants and Evaluation Practitioners

Duration

10 Days

Course Objectives

• Develop comprehensive knowledge of program evaluation principles, methodologies, standards, and frameworks used to assess program performance, effectiveness, efficiency, and impact.
• Strengthen participants' ability to design and implement rigorous evaluation plans that generate credible, reliable, and actionable evidence for organizational learning.
• Equip participants with practical skills for developing theories of change, logical frameworks, and results chains that support effective evaluation processes.
• Enhance competence in selecting appropriate evaluation designs, methodologies, and analytical approaches for diverse program and project environments.
• Build expertise in developing performance indicators, measurement frameworks, and data collection systems that support evidence-based management practices.
• Enable participants to collect, manage, analyze, and interpret quantitative and qualitative data to support strategic and operational decision making.
• Strengthen skills in conducting impact evaluations and assessing program outcomes using scientifically sound and internationally recognized approaches.
• Improve participants' ability to communicate evaluation findings effectively through reports, presentations, dashboards, and stakeholder engagement strategies.
• Develop capacity to integrate evaluation findings into organizational planning, policy development, budgeting, and continuous improvement initiatives.
• Equip learners with techniques for ensuring data quality, ethical compliance, transparency, and accountability throughout evaluation processes.
• Enhance understanding of emerging technologies, artificial intelligence, digital evaluation systems, and advanced analytics in modern evaluation practice.
• Strengthen participants' ability to promote evidence utilization, organizational learning, adaptive management, and results-oriented decision making across institutions.

Comprehensive Course Outline

Module 1: Foundations of Program Evaluation

• Concepts, principles, and purposes of program evaluation
• Types of evaluations and their applications
• Evaluation standards and professional ethics
• Role of evaluation in organizational performance

Module 2: Results-Based Management and Evaluation Frameworks

• Results-based management principles
• Evaluation within the project and program lifecycle
• Developing results chains and outcomes pathways
• Performance management frameworks

Module 3: Theory of Change Development

• Designing theories of change for programs
• Mapping assumptions and causal pathways
• Linking activities, outputs, outcomes, and impacts
• Validating and testing theories of change

Module 4: Evaluation Planning and Design

• Developing evaluation questions and objectives
• Selecting appropriate evaluation designs
• Evaluation scope, criteria, and timelines
• Stakeholder engagement in evaluation planning

Module 5: Indicator Development and Performance Measurement

• Designing SMART indicators
• Outcome and impact measurement techniques
• Indicator reference sheets and documentation
• Performance monitoring systems

Module 6: Quantitative Data Collection Methods

• Survey design and questionnaire development
• Sampling techniques and sample size determination
• Digital data collection tools and platforms
• Data quality assurance procedures

Module 7: Qualitative Evaluation Approaches

• Key informant interviews and focus group discussions
• Participatory evaluation methodologies
• Observation and case study methods
• Qualitative data coding and analysis

Module 8: Data Management and Quality Assurance

• Data governance and management systems
• Data cleaning, validation, and verification
• Data quality assessments and audits
• Ethical considerations in data management

Module 9: Statistical Analysis for Evaluation

• Descriptive and inferential statistics
• Hypothesis testing and significance analysis
• Correlation and regression techniques
• Data visualization and interpretation

Module 10: Impact Evaluation Methods

• Experimental and quasi-experimental designs
• Counterfactual analysis techniques
• Randomized controlled trials and alternatives
• Attribution and contribution analysis

Module 11: Cost-Effectiveness and Value for Money Analysis

• Principles of value for money assessment
• Cost-benefit and cost-effectiveness analysis
• Economic evaluation methods
• Resource optimization strategies

Module 12: Evidence Synthesis and Knowledge Management

• Systematic reviews and meta-analysis concepts
• Evidence mapping techniques
• Knowledge management frameworks
• Organizational learning approaches

Module 13: Reporting and Communication of Findings

• Evaluation report writing techniques
• Data storytelling and visualization
• Executive summaries and policy briefs
• Presentation of findings to stakeholders

Module 14: Evidence-Based Decision Making

• Translating evidence into action
• Decision support frameworks and models
• Policy and program improvement strategies
• Managing uncertainty in decision making

Module 15: Emerging Technologies in Evaluation

• Artificial intelligence in evaluation practice
• Big data analytics for program assessment
• Machine learning applications in evaluation
• Real-time monitoring and predictive analytics

Module 16: Emerging Issues and Future Trends in Evaluation

• Adaptive management and developmental evaluation
• Climate change and sustainability evaluations
• Equity-focused and gender-responsive evaluations
• Digital transformation and future evaluation innovations

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule