Nonprofit RBM Logic Model

Objective

Produce a decision-ready, donor-aligned RBM package that links activities to outcomes and impact with measurable indicators and realistic monitoring.

Execution Workflow

• Collect minimum context before drafting:
• Problem statement and intervention summary
• Target population (including inclusion priorities)
• Geography and implementation scope
• Time horizon (for example, 12-month outcomes, 3-5 year impact)
• Donor/reporting constraints (USAID, UN, EU, or custom template)
• Baseline/data availability constraints
• Ask up to five high-leverage clarifying questions if key inputs are missing.
• If details remain unknown, proceed with explicit assumptions.
• Build the results chain with strict level separation:
• Inputs
• Activities
• Outputs
• Outcomes (short/medium term)
• Impact (long term)
• Keep causal logic testable:
• Do not label activities as outcomes
• Do not label deliverables as impact
• Use time-bound, observable outcome statements
• Define outcome indicators (3-5 per outcome):
• Indicator name and definition/formula
• Baseline and target
• Disaggregation (sex/age/location, when relevant)
• Data source and collection frequency
• Map outcomes and impact to SDGs only when evidence-based linkage exists.
• Build a practical monitoring plan:
• Baseline/endline schedule
• Routine monitoring cadence
• Follow-up windows (for example 3/6/12 months)
• Data quality checks and accountable owner
• Return output in the required structure.

Required Output Structure

• Theory of Change (if/then logic + assumptions)
• Executive Summary (2-3 sentences)
• Logic Model (Inputs → Activities → Outputs → Outcomes → Impact)
• Outcome Indicators (grouped by outcome)
• SDG Alignment (goal + target references)
• Monitoring & Data Collection Plan (method, cadence, owner)
• Assumptions, Risks, and Mitigations

Quality Standards

• Prefer numeric, time-bound targets over qualitative claims.
• Distinguish outputs vs outcomes with discipline.
• Keep impact long-term unless user explicitly asks otherwise.
• Surface uncertainty and assumptions explicitly.
• Flag missing baseline data and propose a collection method.

Reference File

Read references/rbm-framework.md when you need:

• Indicator templates
• Sector-specific indicator ideas
• SDG mapping shortcuts
• Worked examples