Logical Framework Proposal Development Training Course

Participants can define a priority problem using evidence, stakeholder perspectives and causal analysis.

• Problem tree analysis separating core problems, causes and consequences
• Stakeholder analysis mapping influence, interests, capacities and participation requirements
• Target-group segmentation using vulnerability, needs and access criteria
• Gender and social inclusion analysis within problem definition
• Secondary data review for credible context, needs and gap statements
• Causal assumptions tested against field evidence and stakeholder knowledge

Participants can develop a Theory of Change that explains how proposed interventions produce change.

• Theory of Change components: actors, pathways, assumptions and outcomes
• Outcome pathways sequenced from immediate changes to longer-term effects
• Intervention selection based on evidence, feasibility and comparative advantage
• Behaviour change mechanisms distinguished from service delivery mechanisms
• Systems thinking used to identify reinforcing and constraining factors
• Equity considerations embedded within pathways, participation and expected outcomes

Participants can build a coherent logframe with vertically and horizontally connected components.

• Logical Framework Approach matrix structure and standard terminology
• Goal, outcome and output statements written as observable results
• Vertical logic tested through if-then reasoning and contribution claims
• Horizontal logic connecting indicators, verification sources and assumptions
• Results statements differentiated from activities, intentions and implementation tasks
• Logframe terminology adapted without losing donor-required structure or meaning

Participants can formulate measurable indicators and practical means of verification for each result level.

• SMART indicator criteria applied to outcome and output measurement
• Indicator reference sheets specifying definitions, disaggregation and calculation methods
• Baselines established using existing data, surveys and rapid assessments
• Targets set using trend data, capacities and implementation constraints
• Means of verification selected for reliability, frequency and cost
• Disaggregation by sex, age, disability and relevant vulnerability characteristics

Participants can outline an M&E plan that supports reporting, adaptation and accountable delivery.

• Monitoring plan components: indicators, responsibilities, timing and data sources
• Data collection methods matched to indicator type and respondent burden
• Data quality assessment using validity, reliability, precision and integrity criteria
• OECD DAC criteria incorporated into evaluation questions and evidence needs
• Feedback mechanisms designed for community participation and programme adaptation
• Learning questions linked to implementation decisions and proposal commitments

Participants can identify and manage assumptions and risks affecting proposal feasibility and results.

• Assumptions identified at each results level within the logframe
• Risk matrix scoring probability, impact, mitigation and risk ownership
• External factors distinguished from controllable implementation constraints
• Conflict sensitivity analysis applied to programme choices and delivery arrangements
• Safeguarding risks considered within participant engagement and data collection
• Risk narratives aligned with donor due-diligence and compliance expectations

Participants can align implementation activities, responsibilities, timelines and costs with planned outputs.

• Activity schedules derived directly from output delivery requirements
• Work breakdown structure assigning tasks, owners and sequence dependencies
• Gantt chart milestones linked to reporting dates and procurement lead times
• Resource assumptions translated into staffing, materials and operational cost lines
• Budget narrative connecting expenditure categories to activities and outputs
• Implementation responsibilities clarified through RACI matrix role assignments

Participants can write proposal sections that explain and defend the logframe design.

• Executive summaries presenting needs, intervention logic and measurable results
• Needs assessment narratives supported by credible evidence and citations
• Methodology sections explaining intervention choices, delivery model and partnerships
• Logframe evidence integrated across technical narrative, workplan and budget
• Donor terminology matched while retaining precise programme design language
• Value for money arguments linked to outputs, outcomes and unit costs

Participants can conduct a structured logframe review and prepare an action plan for use at work.

• Logframe quality checklist testing logic, indicators, assumptions and feasibility
• Red-team review methods challenging unsupported claims and missing evidence
• Cross-checks between narrative, logframe, budget, workplan and annexes
• Scoring matrices used to prioritise revisions before submission deadlines
• Version control procedures protecting approved results and donor compliance
• Personal application plan identifying proposal tasks, stakeholders and review milestones