Training on Needs Assessment and Program Design in Humanitarian Settings

Module 1: The Assessment-Program Design Continuum

• The role of assessment in humanitarian response.

• Types of assessments: rapid, detailed, joint, and sector-specific.

• Linking assessment findings to program design and resource allocation.

• Case Study/Hands-on Exercise: Analyze a humanitarian response where poor assessment led to inappropriate interventions, and identify the assessment gaps.

Module 2: Assessment Design and Methodology

• Defining assessment objectives, scope, and questions.

• Sampling methodologies for humanitarian contexts.

• Mixed methods: quantitative surveys and qualitative approaches (FGDs, KIIs).

• Case Study/Hands-on Exercise: Design an assessment plan for a sudden-onset displacement crisis, including objectives, sampling strategy, data collection tools, and timeline.

Module 3: Data Collection Tools and Techniques

• Designing household surveys, focus group discussion guides, and key informant interview protocols.

• Mobile data collection tools (e.g., Kobo Toolbox, ODK).

• Ensuring data quality and ethical considerations.

• Case Study/Hands-on Exercise: Develop a household survey questionnaire for a multi-sectoral needs assessment (shelter, food, health, WASH) and program it in a mobile data collection template.

Module 4: Data Analysis and Interpretation

• Cleaning, coding, and managing assessment data.

• Descriptive and inferential statistical analysis.

• Qualitative data analysis: thematic analysis and triangulation.

• Case Study/Hands-on Exercise: Analyze a sample assessment dataset, calculate key indicators (e.g., malnutrition rates, shelter needs), and produce a summary of key findings.

Module 5: Prioritization and Targeting Frameworks

• Setting priorities based on severity, scale, and vulnerability.

• Intersectoral prioritization: balancing competing needs.

• Geographic and household-level targeting methodologies.

• Case Study/Hands-on Exercise: Using assessment findings, prioritize three sectors for intervention and define geographic and household targeting criteria for each.

Module 6: Logical Frameworks (Logframes) and Theories of Change

• Components of a logframe: goal, purpose, outputs, activities, inputs, indicators, and assumptions.

• Developing a theory of change for humanitarian interventions.

• Linking logframes to assessment evidence.

• Case Study/Hands-on Exercise: Develop a logframe and theory of change for a humanitarian shelter program based on a given needs assessment.

Module 7: Indicator Development and Target Setting

• SMART indicators for humanitarian programs.

• Baseline, target, and milestone setting.

• Sector-specific indicator examples (e.g., Sphere standards).

• Case Study/Hands-on Exercise: Develop indicators for each level of a logframe (goal, purpose, outputs) and set realistic targets based on assessment data.

Module 8: Program Proposal Writing for Donors

• Key sections of a humanitarian proposal: executive summary, needs statement, project description, logframe, budget, and M&E plan.

• Aligning proposals with donor requirements and strategies.

• Writing compelling needs narratives based on assessment evidence.

• Case Study/Hands-on Exercise: Draft a concept note for a humanitarian response based on an assessment report, including a needs statement and high-level program description.

Module 9: Budgeting and Resource Mobilization

• Developing activity-based budgets for humanitarian programs.

• Costing assumptions and contingency planning.

• Resource mobilization strategies for emergency responses.

• Case Study/Hands-on Exercise: Develop a budget for a proposed humanitarian program, including personnel, supplies, transport, and indirect costs, aligned with the activity plan.

Module 10: Review, Revision, and Adaptive Management

• Using monitoring data to adapt program design.

• Mid-term and final program reviews.

• Learning loops: from assessment to design to implementation to reassessment.

• Case Study/Hands-on Exercise: Review a sample program design against assessment findings and monitoring data, identify misalignments, and propose design revisions.