Resource
Theory of Change Builder Workbook
A step-by-step workbook for programme teams designing or validating theories of change. Covers problem analysis, causal logic chains, key assumptions, risk mapping, and indicator alignment for donor review.
Context tags indicate reporting alignment or funder familiarity; they do not imply donor endorsement.
How to use this workbook
Work through sections A through E in sequence. Each section contains guided prompts and a review checkpoint. Allow 2–3 working sessions of 90 minutes each for a first draft. Review with a critical peer before sharing externally.
Section A: Problem Analysis
A1. Root Cause Mapping
Complete this sentence:
"The core problem is: ___________"
Map contributing factors:
Immediate causes (directly produce the problem):
Underlying causes (drive the immediate causes):
Root causes (structural or systemic factors):
A2. Evidence Anchors
| Cause | Evidence source | Year | Geographic scope |
|---|---|---|---|
A3. Review Checkpoint
- Each immediate cause genuinely produces the core problem (not a symptom)
- Root causes are within the programme's sphere of influence, or feasibility is explained
- Evidence anchors documented for all root causes
Section B: Causal Logic Chain
B1. Programme Response
| Root Cause | Programme Activity | Expected Output |
|---|---|---|
B2. Outcome Pathway
Outputs (what activities produce directly):
Short-term outcomes (changes in knowledge, attitudes, skills — 6–18 months):
Medium-term outcomes (changes in behaviour, practice — 1–3 years):
Long-term outcomes / Impact (structural or population-level change — 3+ years):
B3. Logic Check
For each causal link, ask: "If we achieve [A], will [B] reliably follow?"
If the answer is "only under certain conditions," document those conditions as assumptions in Section C.
Section C: Key Assumptions
| Assumption | Likelihood (H/M/L) | Consequence if fails | Monitoring approach |
|---|---|---|---|
Critical assumptions are High consequence + Low/Medium likelihood. Document a contingency response for each.
Section D: Risk Mapping
D1. Risk Register
| Risk | Probability (H/M/L) | Impact (H/M/L) | Mitigation | Owner |
|---|---|---|---|---|
D2. Cross-Cutting Risks
- Do-no-harm review completed
- Gender differential impacts assessed
- Environmental impact assessed
- Conflict sensitivity assessment completed (if operating in fragile context)
Section E: Indicator Alignment
E1. Results Framework Summary
| Level | Indicator | Baseline | Target | Data source | Frequency |
|---|---|---|---|---|---|
| Output | |||||
| Outcome | |||||
| Impact |
E2. Donor Alignment
| Indicator | Donor framework | Reporting requirement |
|---|---|---|
E3. Indicator Quality Check
- Each indicator is measurable without ambiguity
- Baseline value available or collection method planned
- Target is realistic given programme scale and timeline
- Disaggregation dimensions are feasible to collect
- Responsible party for data collection is identified
Completion Checklist
- Section A: Problem analysis with evidence anchors
- Section B: Full output-to-impact causal chain
- Section C: All assumptions with monitoring approach
- Section D: Risk register and cross-cutting risks reviewed
- Section E: Results framework and donor alignment mapped
- Peer review completed (at least one critical reader)
For facilitated theory of change workshops or independent review, contact NM Research and Advisory.