NGO Monitoring and Evaluation Management for M&E Managers Training Course

Course overview

M&E managers in NGOs are expected to turn project activity into credible evidence for donors, boards, programme teams and communities. The challenge is not simply collecting more data: it is defining measurable results, maintaining data quality across field teams, interpreting performance fairly, and presenting findings that lead to management action. Weak indicator definitions, fragmented reporting templates and late analysis can undermine donor confidence, conceal delivery problems and leave teams unable to explain whether an intervention is working.

This course equips participants to manage an end-to-end NGO monitoring and evaluation system. Participants develop results frameworks and theories of change, define SMART indicators and indicator reference sheets, set baselines and targets, prepare data collection plans, and establish data-quality assurance procedures. They practise selecting quantitative and qualitative methods, using disaggregation responsibly, analysing routine monitoring data, conducting evaluation planning, and translating findings into concise donor and management reports. The course also addresses OECD DAC evaluation criteria, accountability to affected populations, learning loops and ethical handling of beneficiary data.

Teaching is built around a realistic humanitarian and development project case. Participants work with a project logframe, field data extracts and donor reporting requirements to build an M&E management package. By the end of the week, each participant leaves with a practical M&E plan containing a results framework, indicator matrix, data collection schedule, data-quality assessment checklist, reporting dashboard outline and evaluation terms of reference. This provides an immediately adaptable template for their own programme portfolio.

The course is designed for M&E managers and officers who coordinate monitoring systems or supervise data collection across NGO projects. It is also suitable for programme managers and grants staff who need to use M&E evidence in implementation, donor reporting and adaptive management decisions.

Course objectives

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

• Develop a theory of change and results framework linking activities, outputs, outcomes and impact assumptions
• Create indicator reference sheets with definitions, numerators, denominators, disaggregation and data sources
• Design an M&E plan with baseline, target, collection frequency, responsibilities and reporting deadlines
• Apply data-quality assessment methods to test data validity, reliability, timeliness, precision and integrity
• Select quantitative and qualitative data-collection methods appropriate to programme questions and constraints
• Analyse monitoring data in Excel and Power BI using disaggregation, trend analysis and variance interpretation
• Prepare an evaluation terms of reference using OECD DAC criteria, evaluation questions and sampling considerations
• Produce a management-ready M&E reporting package with findings, recommendations, action owners and follow-up dates

Benefits of attending

Target competencies

Who should attend

• Monitoring and Evaluation Managers — who must design, govern and improve M&E systems across multiple projects
• M&E Officers — who collect, verify, analyse and report programme performance data
• Programme Managers — who need to use monitoring evidence to adjust implementation and manage delivery risks
• Grants and Donor Reporting Managers — who must substantiate narrative reports with consistent indicator evidence
• MEAL Coordinators — who integrate monitoring, evaluation, accountability and learning processes across programmes
• Field Coordinators — who supervise enumerators and need practical controls for reliable field data

Requirements and prerequisites

Participants should understand the basic structure of NGO projects, including activities, outputs, outcomes, budgets and donor reporting cycles. Familiarity with spreadsheets is expected: participants should be able to enter data, use simple formulas and work with rows and columns in Microsoft Excel. Experience with a logframe, indicator table or project report is useful but not essential. This is a foundation-to-intermediate course, so complete beginners in formal M&E are welcome and should expect guided practice with core terminology and templates. Statistical software, prior evaluation leadership, coding skills and advanced Power BI knowledge are not required.

Training methodology

The instructor combines short technical briefings with facilitated workshops based on a multi-sector NGO project case. Participants critique a weak logframe, write indicator reference sheets, build an M&E plan, assess sample field data and identify data-quality failures. Small groups use KoboToolbox-style data structures and Excel or Power BI extracts to produce disaggregated findings for a donor review meeting. Daily feedback connects each exercise to participants’ own programme context. The final session is an application clinic in which participants refine their M&E management package and prioritise implementation actions.

Course outline

Day 1: Results-Based M&E Architecture

• The NGO project cycle and the management purpose of M&E
• Theory of change development with causal pathways and assumptions
• Results frameworks linking inputs, activities, outputs, outcomes and impact
• Logframe review techniques for vertical and horizontal logic
• Stakeholder information needs for donors, communities and programme teams
• Monitoring, evaluation, accountability and learning role boundaries
• Risk assumptions and external factors in results measurement

Workshop: Participants diagnose a flawed project logframe and produce a revised theory of change and results chain for the case programme.

Day 2: Indicators, Baselines and M&E Planning

• SMART indicator selection for outputs, outcomes and impact
• Indicator reference sheet fields and calculation protocols
• Numerators, denominators, units of measure and proxy indicators
• Disaggregation by sex, age, disability, location and vulnerability criteria
• Baseline design, target setting and target revision controls
• M&E plan structure, collection frequency and staff responsibilities
• Data collection calendars aligned to donor reporting milestones

Workshop: Participants create an indicator matrix and M&E plan for three outcomes, including baselines, targets, sources and responsible roles.

Day 3: Data Collection and Quality Assurance

• Quantitative survey, observation and routine monitoring methods
• Qualitative interviews, focus groups and outcome harvesting methods
• Sampling basics for beneficiary surveys and monitoring visits
• KoboToolbox form design principles and validation constraints
• Informed consent, safeguarding and responsible data management
• Data-quality assessment dimensions and verification procedures
• Enumerator training, supervision and fieldwork monitoring controls

Workshop: Participants review a KoboToolbox-style questionnaire and field dataset, then complete a data-quality assessment checklist and corrective-action log.

Day 4: Analysis, Evaluation and Reporting

• Excel cleaning methods for missing values, duplicates and inconsistent categories
• Descriptive analysis using frequencies, percentages, cross-tabs and trends
• Disaggregated analysis and interpretation of performance gaps
• Power BI dashboard components for programme performance reporting
• Variance analysis against targets and explanation of deviations
• OECD DAC criteria and evaluation question development
• Evaluation terms of reference, methods, governance and utilisation planning

Workshop: Participants analyse a monitoring dataset and produce a one-page dashboard with findings, variances and priority management questions.

Day 5: Learning, Accountability and M&E Management

• Turning findings into recommendations, decisions and action tracking
• After-action reviews and pause-and-reflect learning sessions
• Feedback and complaints data within accountability systems
• Donor narrative reporting supported by indicator evidence
• M&E team roles, workflow controls and document version management
• M&E budget development for data collection and evaluation activities
• M&E system improvement roadmaps and implementation priorities

Workshop: Participants assemble and present their M&E management package, then create a 90-day implementation roadmap for applying it in their organisation.

Tools & standards covered

Microsoft Excel, KoboToolbox, Microsoft Power BI, OECD DAC Evaluation Criteria

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions