Computerised Applications for Monitoring and Evaluation (M&E)
Leveraging Digital Tools to Enhance Data-Driven Decision-Making in Projects and Programmes
1. Introduction
In today’s data-driven development environment, the ability to plan, track, analyse, and report project results using digital tools is critical for effective Monitoring and Evaluation (M&E). Manual methods are no longer sufficient to meet the complex data needs of modern programmes and donor reporting requirements.
This course provides M&E professionals with practical, hands-on training in computerised applications that support results-based management. Participants will learn to use various software tools and platforms to design M&E systems, collect and analyse data, and present findings in dynamic, user-friendly formats.
2. Training Objectives
By the end of this training, participants will be able to:
- Understand the fundamentals of Monitoring and Evaluation
- Use digital tools for designing and managing M&E frameworks
- Collect, manage, and analyse data using computerised applications
- Visualise and report M&E results using dashboards and reports
- Apply Geographic Information Systems (GIS) for M&E
- Improve efficiency and accuracy in M&E data processes
- Generate evidence-based reports for learning and accountability
3. Target Group
This course is ideal for:
- M&E Officers, Specialists, and Data Analysts
- Project and Programme Managers
- Researchers and Development Planners
- NGO/CSO Project Staff
- Government and Donor Programme Staff
- Statisticians, Academicians, and Field Coordinators
4. Course Duration
- Total Duration: 4 weeks
- Modules: 16
- Contact Hours: 64–80 hours (4–5 hours per module)
- Delivery Mode: In-person, Online, or Hybrid
- Methodology: Practical sessions, hands-on computer labs, real-world case studies, peer collaboration, project-based learning
5. Course Content
Module 1: Introduction to Monitoring and Evaluation (M&E)
- Key concepts, principles, and M&E cycle
- Results-based management (RBM) overview
Module 2: M&E Frameworks and Logical Framework Approaches
- Logframes, theories of change, and indicator development
- Designing results chains and M&E plans
Module 3: Introduction to Computerised M&E Systems
- Types of M&E software (desktop, web-based, mobile)
- Setting up an M&E digital ecosystem
Module 4: Data Collection Using Mobile Tools (ODK, KoboToolbox, SurveyCTO)
- Designing digital forms and surveys
- Data collection using mobile devices (offline/online)
Module 5: Microsoft Excel for M&E
- Data entry, cleaning, analysis using Excel
- Creating dashboards, pivot tables, and charts
Module 6: Power BI for M&E Dashboards
- Importing and modelling M&E data
- Building real-time visual dashboards and scorecards
Module 7: SPSS and STATA for Statistical Analysis
- Descriptive and inferential analysis for M&E
- Interpreting outputs for reports and presentations
Module 8: GIS and Mapping for M&E (QGIS, Google Maps)
- Geotagging M&E data
- Mapping programme results and reach
Module 9: Designing and Managing Digital M&E Databases (Access/Google Sheets)
- Creating relational databases
- Data validation, user access, and real-time collaboration
Module 10: Project Monitoring Using MS Project and Trello
- Setting milestones, timelines, and indicators
- Linking activity tracking with M&E frameworks
Module 11: Data Quality Assurance in Computerised Systems
- Data cleaning techniques and audit trails
- Ensuring validity, reliability, and accuracy
Module 12: Using DHIS2 for Health & Development Projects (Introductory)
- Setting up indicators and datasets
- Dashboard customisation and analytics
Module 13: Automating M&E Reports and Templates
- Report templates in Excel/Word
- Auto-generation of narrative and visual reports
Module 14: Integrating M&E Systems with Cloud Platforms
- Using Google Workspace, SharePoint, and Dropbox
- Real-time data sharing and remote team collaboration
Module 15: Ethics, Privacy & Data Protection in M&E
- Secure handling of sensitive programme data
- GDPR, informed consent, and digital security
Module 16: Final Project – Design a Computerised M&E System
- Teams/individuals build a digital M&E solution for a sample project
- Presentation and peer review
6. Learning Outcomes
Participants will be able to:
- Design and manage effective M&E frameworks using digital tools
- Use mobile and desktop applications for data collection and analysis
- Create dashboards and generate real-time performance reports
- Apply GIS mapping in monitoring project reach and effectiveness
- Ensure data quality and ethical handling in digital M&E systems
- Improve project performance and accountability through timely, computerised M&E
7. Certification
- Award: Certificate of Completion – Computerised Applications for Monitoring and Evaluation
- Issued by: Accredited Training Institution / University / M&E Body
- Requirements:
- Minimum 85% attendance
- Completion of assignments and group work
- Final M&E system design project presentation
This certificate confirms professional capability in using digital tools and applications for managing, analysing, and reporting M&E data effectively.
Optional Add-Ons:
- Trial access to premium tools (e.g., Power BI Pro, STATA)
- Toolkits: Excel templates, M&E frameworks, dashboard samples
- Post-training mentorship or coaching on M&E system design
