Traditional M&E often relies on a fragmented approach to identity, measuring categories like "gender" or "age" in isolation. This fails to capture the complex, compounding effects of multiple social identities on a person's experience and a project's impact. This training course is designed to empower M&E professionals to master intersectionality metrics, a powerful approach that recognizes and analyzes the overlapping systems of discrimination and advantage. By moving beyond simple disaggregation to capture the lived experiences of individuals at the intersection of various identities, participants will learn how to build more nuanced, accurate, and equitable monitoring and evaluation systems.

This comprehensive program provides a practical, hands-on roadmap for designing and implementing M&E frameworks that are sensitive to the dynamics of inequality. Participants will gain skills in everything from designing culturally sensitive data collection tools and using mixed-methods research to capture the lived experiences of different groups to ensuring ethical safeguards and communicating findings in a way that is meaningful to the community. The course is a strategic investment for organizations seeking to enhance the fairness and effectiveness of their work, ensuring that their projects not only achieve their goals but also contribute to a more just and inclusive society.

Duration: 10 days

Target Audience:

• M&E Specialists
• Gender and Social Inclusion Experts
• Program and Project Managers
• Civil Society Leaders
• Human Rights Advocates
• Researchers
• Public Policy Analysts
• Government Officials
• Community Development Workers
• Consultants

Objectives:

• Understand the core principles of intersectionality and its relevance to M&E.
• Master the process of designing an intersectional M&E framework.
• Learn how to select and measure intersectional indicators.
• Develop a data collection and analysis plan that is disaggregated and inclusive.
• Integrate ethical considerations and safety protocols.
• Build a more participatory and inclusive approach to monitoring.
• Communicate findings on equity to different audiences.
• Ensure ethical considerations and safety protocols in data collection.
• Foster a culture of continuous learning and adaptive management.
• Apply M&E techniques to a wide range of sectors.

Course Modules:

Module 1: Introduction to Intersectionality in M&E

• The limitations of traditional, single-axis M&E
• Defining intersectionality and its purpose
• The business case for an intersectional approach
• An overview of the M&E workflow for an equity project
• The difference between equality and equity

Module 2: Foundational Concepts for Intersectionality

• The importance of a power analysis
• Understanding intersectionality and its relevance
• The role of a program's theory of change in an equity project
• The importance of a clear and focused scope
• The difference between equality and equity

Module 3: Designing an Intersectional Framework

• The importance of a clear and focused framework
• The role of a GESI analysis in M&E design
• Integrating a disability and age analysis
• The importance of a "risk and mitigation" plan
• Case studies on effective framework design

Module 4: Intersectional Indicators

• The challenge of measuring social change
• The importance of qualitative and quantitative indicators
• Selecting indicators that measure capacity, not just outcomes
• The use of a simple scorecard and a dashboard
• Developing a clear and consistent indicator library

Module 5: Disaggregated Data Collection

• The importance of a mixed-methods approach
• Using surveys and questionnaires with disaggregated data
• The role of interviews and focus group discussions
• The importance of a "social audit" or a "community report card"
• Best practices for ensuring data accuracy and reliability

Module 6: Participatory Data Collection Tools

• The importance of a participatory approach
• Using creative tools for data collection (e.g., photo-voice, digital storytelling)
• The role of a "social mapping" and a "trend analysis"
• The use of a simple survey and a focus group discussion
• Practical labs on a basic data collection tool

Module 7: Data Analysis and Interpretation

• The importance of a clear data analysis plan
• Using simple statistical analysis for quantitative data
• The role of qualitative data analysis methods
• Interpreting findings from an intersectional perspective
• The importance of data triangulation

Module 8: M&E for a Diverse Audience

• The importance of knowing your audience
• The role of a "stakeholder analysis"
• Designing reports and dashboards for non-technical audiences
• The importance of accessibility and inclusivity
• Case studies on communicating with different audiences

Module 9: Accountability to Affected Populations (AAP)

• The core principles of AAP
• The role of a community feedback mechanism
• The importance of a complaints and response system
• The role of a beneficiary satisfaction survey
• Best practices for closing the feedback loop

Module 10: Mainstreaming Intersectionality

• How to integrate M&E into the project cycle
• The importance of a phased implementation strategy
• The role of M&E in the project cycle
• Building a culture of adaptive management
• Case studies on successful integration

Module 11: M&E for a Diverse Sector

• M&E for women's empowerment programs
• M&E for disability inclusion
• M&E for LGBTIQ+ rights
• M&E for indigenous peoples and ethnic minorities
• M&E for child and youth protection

Module 12: The Role of the M&E Professional

• Shifting from a technician to a facilitator
• The skills required for an equity-focused M&E professional
• Managing power dynamics and group conflicts
• The importance of a non-judgmental and empathetic approach
• The ethical responsibilities of the M&E professional

Module 13: CBM and Intersectionality

• The potential of community-based monitoring with a focus on equity
• Training community members as monitors
• The importance of a participatory approach
• The role of a feedback mechanism for continuous learning
• The long-term benefits of a community-led system

Module 14: Practical Application and Simulation

• A hands-on simulation of a real-world project
• Participants work in teams to design an intersectional framework
• Troubleshooting common challenges in data collection
• Analyzing and interpreting a set of data
• Peer review and feedback sessions on framework design

Module 15: The Future of M&E

• The role of AI and machine learning in automated analysis
• The potential of blockchain for data integrity
• The use of new data sources (e.g., satellite imagery)
• The rise of complexity-aware M&E
• The long-term implications for the sector

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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

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

Certification

Participants will be issued with Skills for Africa Training Institute 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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.