Introduction

In today’s complex development and humanitarian landscape, Inter-Agency Monitoring & Evaluation (M&E) Collaboration has emerged as a critical approach for optimizing resource utilization, enhancing data quality, and driving evidence-based decision-making. Effective collaboration across agencies fosters synergy, transparency, and accountability, enabling organizations to harmonize M&E frameworks, share best practices, and collectively address programmatic challenges. Inter-Agency M&E Collaboration Training Course equips participants with advanced skills in multi-stakeholder coordination, integrated data systems, joint reporting, and collaborative learning, empowering agencies to deliver measurable impact and sustainable outcomes.

The course emphasizes practical, hands-on learning, combining case studies, interactive exercises, and real-world simulations to enhance participants’ ability to navigate complex inter-agency dynamics. By the end of the training, participants will possess the knowledge and tools to foster strategic partnerships, harmonize M&E processes, leverage digital collaboration platforms, and implement high-impact joint evaluations that inform policy and programming at scale.

Programme Curriculum

Inter-Agency M&E Collaboration Training Course

Introduction

In today’s complex development and humanitarian landscape, Inter-Agency Monitoring & Evaluation (M&E) Collaboration has emerged as a critical approach for optimizing resource utilization, enhancing data quality, and driving evidence-based decision-making. Effective collaboration across agencies fosters synergy, transparency, and accountability, enabling organizations to harmonize M&E frameworks, share best practices, and collectively address programmatic challenges. Inter-Agency M&E Collaboration Training Course equips participants with advanced skills in multi-stakeholder coordination, integrated data systems, joint reporting, and collaborative learning, empowering agencies to deliver measurable impact and sustainable outcomes.

The course emphasizes practical, hands-on learning, combining case studies, interactive exercises, and real-world simulations to enhance participants’ ability to navigate complex inter-agency dynamics. By the end of the training, participants will possess the knowledge and tools to foster strategic partnerships, harmonize M&E processes, leverage digital collaboration platforms, and implement high-impact joint evaluations that inform policy and programming at scale.

Course Duration

5 days

Course Objectives

By the end of this training, participants will be able to:

  1. Understand the principles and benefits of inter-agency M&E collaboration.
  2. Develop integrated M&E frameworks across multiple agencies.
  3. Apply data-sharing protocols and governance standards.
  4. Utilize digital collaboration tools for real-time M&E reporting.
  5. Conduct joint evaluations and cross-agency assessments.
  6. Implement stakeholder engagement strategies for collaborative decision-making.
  7. Enhance accountability, transparency, and data integrity in joint M&E.
  8. Design harmonized indicators and performance metrics.
  9. Integrate learning and adaptive management approaches in multi-agency contexts.
  10. Address ethical dilemmas and conflict resolution in collaborative M&E.
  11. Leverage evidence-based insights for policy influence.
  12. Build capacity for inter-agency knowledge sharing and communities of practice.
  13. Monitor and evaluate the impact of collaboration on program outcomes.

Target Audience

  • M&E officers in NGOs, UN agencies, and government ministries
  • Program managers and coordinators in multi-agency projects
  • Data analysis and reporting specialists
  • Policy advisors and development consultants
  • Donor representatives and program evaluators
  • Humanitarian response coordinators
  • Academic researchers in program evaluation
  • Technical advisors supporting joint evaluations

Course Modules

Module 1: Foundations of Inter-Agency Collaboration

  • Principles and benefits of joint M&E
  • Structures and models for collaboration
  • Legal and policy frameworks
  • Cross-agency communication strategies
  • Case study: UN-NGO joint monitoring of health programs

Module 2: Integrated M&E Frameworks

  • Designing harmonized indicators
  • Aligning agency objectives and KPIs
  • Developing joint M&E plans
  • Multi-level reporting structures
  • Case study: Integrated education monitoring in East Africa

Module 3: Data Sharing and Governance

  • Data management policies
  • Confidentiality and ethical considerations
  • Data quality standards
  • Interoperability between systems
  • Case study: Humanitarian data exchange platform

Module 4: Digital Collaboration Tools

  • Cloud-based dashboards for multi-agency reporting
  • Real-time data visualization
  • Collaborative data analytics platforms
  • Automation and workflow integration
  • Case study: Joint COVID-19 response monitoring using digital tools

Module 5: Joint Evaluations and Assessments

  • Planning and executing cross-agency evaluations
  • Sampling and data collection harmonization
  • Analysis of multi-source data
  • Reporting and dissemination
  • Case study: Cross-border nutrition program evaluation

Module 6: Stakeholder Engagement & Communication

  • Identifying and mapping stakeholders
  • Effective communication strategies
  • Conflict resolution techniques
  • Participatory monitoring approaches
  • Case study: Multi-donor water sanitation project

Module 7: Learning & Adaptive Management

  • Incorporating feedback loops
  • Lessons learned documentation
  • Adaptive decision-making in dynamic environments
  • Capacity building for continuous improvement
  • Case study: Adaptive M&E in climate resilience programs

Module 8: Ethics, Accountability & Impact Evaluation

  • Ethical dilemmas in multi-agency collaboration
  • Transparency and accountability frameworks
  • Measuring collaborative impact
  • Reporting to donors and policymakers
  • Case study: Accountability assessment in joint refugee support initiatives

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@fineskilltrainingcenter.com or call +254769199797 

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 FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.

Available Sessions

Aug 10 2026

10 Aug — 14 Aug 2026

online • Virtual session • Limited Availability
Aug 17 2026

17 Aug — 21 Aug 2026

online • Virtual session • Limited Availability
Aug 24 2026

24 Aug — 28 Aug 2026

online • Virtual session • Limited Availability
Aug 31 2026

31 Aug — 04 Sep 2026

online • Virtual session • Limited Availability
Sep 07 2026

07 Sep — 11 Sep 2026

online • Virtual session • Limited Availability
Sep 14 2026

14 Sep — 18 Sep 2026

online • Virtual session • Limited Availability
Sep 21 2026

21 Sep — 25 Sep 2026

online • Virtual session • Limited Availability
Sep 28 2026

28 Sep — 02 Oct 2026

online • Virtual session • Limited Availability
Oct 05 2026

05 Oct — 09 Oct 2026

online • Virtual session • Limited Availability
Oct 12 2026

12 Oct — 16 Oct 2026

online • Virtual session • Limited Availability
Oct 19 2026

19 Oct — 23 Oct 2026

online • Virtual session • Limited Availability
Oct 26 2026

26 Oct — 30 Oct 2026

online • Virtual session • Limited Availability
Nov 02 2026

02 Nov — 06 Nov 2026

online • Virtual session • Limited Availability
Nov 09 2026

09 Nov — 13 Nov 2026

online • Virtual session • Limited Availability
Nov 16 2026

16 Nov — 20 Nov 2026

online • Virtual session • Limited Availability
Nov 23 2026

23 Nov — 27 Nov 2026

online • Virtual session • Limited Availability
Nov 30 2026

30 Nov — 04 Dec 2026

online • Virtual session • Limited Availability
Dec 07 2026

07 Dec — 11 Dec 2026

online • Virtual session • Limited Availability
Dec 14 2026

14 Dec — 18 Dec 2026

online • Virtual session • Limited Availability
Dec 21 2026

21 Dec — 25 Dec 2026

online • Virtual session • Limited Availability
Dec 28 2026

28 Dec — 01 Jan 2027

online • Virtual session • Limited Availability