Monitoring Evaluation for Humanitarian Response Operations Training Course

Course overview

Humanitarian response teams must make decisions while needs, access, funding and population movement change quickly. Yet many monitoring systems produce late, incomplete or non-comparable data: distribution figures cannot be reconciled with beneficiary records, protection concerns are not disaggregated, partner reports use inconsistent indicators, and field teams collect information that programme managers do not use. This course equips participants to build monitoring and evaluation arrangements that support accountable, evidence-led decisions across rapid-onset emergencies, protracted crises and multi-partner response operations.

Participants work through the full humanitarian M&E cycle: translating response logic into measurable results; selecting indicators aligned with Sphere, CHS and donor requirements; setting baselines and targets under time constraints; designing data collection tools; establishing data-quality assurance procedures; and analysing monitoring findings for programme adaptation. The course addresses quantitative and qualitative methods, age, gender and diversity disaggregation, feedback and complaints data, outcome monitoring, evaluation terms of reference, and practical reporting dashboards. Participants also learn how to identify bias, manage informed consent, protect sensitive data and communicate limitations without weakening decision confidence.

Delivery combines instructor-led technical sessions with a realistic humanitarian response case involving cash assistance, WASH and protection activities. Participants build an indicator performance tracking table, KoboToolbox data-collection form, data-quality assessment plan and Power BI-style results dashboard using a common case dataset. They leave with a completed humanitarian M&E plan and a 90-day implementation plan that can be adapted for their own response portfolio. The course is particularly valuable for staff responsible for programme quality, grants compliance, field monitoring and partner performance across NGOs, UN agencies, Red Cross and Red Crescent organisations, and donor-funded consortia.

Course objectives

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

• Develop a humanitarian results framework linking needs, activities, outputs, outcomes and assumptions
• Select Sphere- and CHS-aligned indicators with definitions, disaggregation requirements, data sources and frequencies
• Construct an indicator performance tracking table with baselines, targets, responsibilities and verification methods
• Design KoboToolbox questionnaires using skip logic, validation rules, consent wording and unique respondent identifiers
• Apply data-quality assessment methods to test validity, reliability, timeliness, integrity and precision
• Analyse monitoring data in Excel using disaggregation, pivot tables, variance calculations and trend charts
• Prepare an evaluation terms of reference with evaluation questions, sampling approach, ethics provisions and deliverables
• Produce a decision-focused humanitarian M&E plan and dashboard for a response operation

Benefits of attending

Target competencies

Who should attend

• Monitoring, Evaluation, Accountability and Learning Officers — who design monitoring systems and assure the quality of field evidence
• Humanitarian Programme Managers — who must adapt activities, budgets and targeting based on credible performance data
• Emergency Response Coordinators — who need consistent operational indicators across sectors, locations and implementing partners
• Grants and Compliance Managers — who reconcile donor results frameworks, reporting obligations and partner submissions
• Field Coordinators — who supervise enumerators, verify delivery records and act on community feedback
• Technical Advisers — who set sector indicators and assess whether response activities are achieving intended outcomes

Requirements and prerequisites

Participants should have at least six months of experience in humanitarian, development or recovery programming and be familiar with basic project-cycle concepts such as objectives, activities, outputs, outcomes, indicators and donor reporting. They should be able to work confidently with spreadsheet tables, including sorting, filtering and simple formulas in Microsoft Excel or equivalent software. Experience using KoboToolbox, Power BI, statistical software or formal evaluation methods is helpful but not required. This is not a beginner introduction to humanitarian operations; participants without field-programme exposure should expect a demanding pace and should review the Sphere Handbook and their organisation’s current logframe before attending.

Training methodology

The course uses short instructor-led briefings followed by structured application to a multi-sector humanitarian response case. Participants critique real-style logframes, repair poorly specified indicators, configure KoboToolbox questions, inspect a deliberately flawed monitoring dataset and build decision charts in Excel and Power BI. Small groups simulate programme, MEAL and partner coordination meetings to agree verification responsibilities and corrective actions. Daily exercises feed into an individual M&E plan, and the final session includes peer review and a 90-day action plan for applying the methods within a current or anticipated response operation.

Course outline

Day 1: Humanitarian M&E architecture and results logic

• Humanitarian Programme Cycle and the role of monitoring in response management
• Theory of change development for rapid-onset and protracted crisis responses
• Results chains linking needs, activities, outputs, outcomes and impact
• Assumptions, risks and contextual factors in humanitarian results frameworks
• Sphere Handbook standards and their use in indicator selection
• Core Humanitarian Standard commitments and accountability evidence requirements
• Stakeholder roles across programme, MEAL, partner and donor reporting structures

Workshop: Participants rebuild a weak multi-sector response logframe into a results framework with assumptions, risks and decision points.

Day 2: Indicators, baselines and monitoring design

• SMART indicator criteria and humanitarian indicator reference sheets
• Output, outcome, process and quality indicator selection
• Age, gender, disability and diversity disaggregation protocols
• Baseline options when access, time and population data are constrained
• Target setting using caseloads, coverage estimates and operational capacity
• Indicator performance tracking tables and reporting calendars
• Sampling fundamentals for post-distribution monitoring and household surveys

Workshop: Participants create an indicator performance tracking table and indicator reference sheets for a cash, WASH and protection response.

Day 3: Data collection, accountability and data quality

• KoboToolbox form structure, question types and skip logic
• Validation constraints, mandatory fields and unique identifier controls
• Enumerator briefing, pilot testing and field supervision procedures
• Informed consent, safeguarding and do-no-harm data collection practices
• Feedback and complaints mechanisms as monitoring data sources
• Data-quality assessment dimensions: validity, reliability, timeliness, integrity and precision
• Data protection, access controls and secure handling of sensitive records

Workshop: Participants configure and pilot a KoboToolbox monitoring form, then produce a data-quality assurance checklist for enumerator teams.

Day 4: Analysis, interpretation and adaptive management

• Data cleaning workflows in Microsoft Excel
• Pivot tables and cross-tabulations for disaggregated monitoring analysis
• Variance analysis against targets, baselines and planned coverage
• Trend analysis for distribution, outcome and feedback data
• Triangulation of quantitative findings, observations and key informant evidence
• Power BI dashboard design for operational response decisions
• Evidence-to-action logs, management responses and follow-up accountability

Workshop: Participants analyse a response dataset in Excel and draft a management dashboard with three evidence-based corrective actions.

Day 5: Evaluation planning and operational application

• Purpose, timing and scope of humanitarian evaluations
• OECD DAC evaluation criteria applied to humanitarian response
• Evaluation questions, judgement criteria and evidence matrices
• Terms of reference for internal, external and real-time evaluations
• Mixed-methods designs, sampling choices and methodological limitations
• Utilisation-focused reporting and learning dissemination plans
• M&E plan costing, resourcing and 90-day implementation sequencing

Workshop: Participants complete and peer-review a response-specific M&E plan, evaluation terms of reference outline and 90-day implementation plan.

Tools & standards covered

KoboToolbox, Microsoft Excel, Microsoft Power BI, Sphere Handbook

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