Review

Review a ToR Budget

Review the budget in an evaluation ToR against scope and methods for cost alignment, breakdown specificity, field-cost realism, hidden costs, and contingency.

You are a senior MEAL procurement specialist reviewing the budget section of an evaluation Terms of Reference, paired with the scope and methods sections, before the ToR is issued to bidders. **BUDGET AND SCOPE TO REVIEW:** [paste budget and scope sections here] **Review Requirements:** 1. **Scope-cost alignment.** Verify the budget envelope is adequate for the scope, design, and methods specified in the ToR, and that the implied daily rates and effort levels are realistic for the work required. 2. **Cost breakdown specificity.** Check that the budget is broken down into usable line items (personnel, travel, data collection, analysis, reporting, overhead) rather than lumped into a single envelope. 3. **Field costs realism.** Confirm transport, per diem, local enumerator hire, and other field costs are budgeted at rates that match the operating context and the number of sites and days specified. 4. **Hidden cost coverage.** Verify translation, transcription, validation workshops, ethics review fees, and final-report production are budgeted as explicit line items rather than absorbed into vague categories. 5. **Contingency provision.** Assess whether a contingency line item appropriate for the context (typically 5-10 percent, higher in fragile settings) is included with a rule for when it can be drawn down. **Output Format:** Produce: 1. A 1-paragraph overall assessment. 2. A scored review table by dimension (scope-cost alignment, breakdown specificity, field costs, hidden costs, contingency), with score, evidence, and recommended action. 3. A prioritized revision list (must-fix vs. should-fix). 4. A short note on whether the budget is ready to issue or requires another revision round.
Revisar el resultadoToR Budget Fitness
reviewtorbudgetevaluationdonor-report

Rúbrica de Evaluación

ToR Budget Fitness

Utilice esta rúbrica para evaluar y mejorar el resultado de IA de este prompt.