Proposal M&E Review

Review the approach, evaluation arrangements, resources and staffing in a proposal.

Free, with limits. These skills produce AI-assisted drafts and reviews. A person who knows the program should check every output against the source documents before it is shared. The examples are fictional and written by hand; they are not real client work or test output.

Claude Code is the checked route. One skill was also checked by browser upload on a paid plan. Anthropic's help page says Free plans can use uploaded skills too, once code execution is turned on; we did not test a Free account. No M&E Studio signup or API key is needed; your Claude account and its limits are separate.

What You Will Get

  • Editable review with source-linked findings

What to Provide

  • Proposal M&E section
  • Results framework and relevant budget or staffing context

Supply readable files or text. Missing evidence stays explicit; a draft or recommendation is not an approved commitment.

Start the Job

In Code use /me-review:proposal-me-review with explicit files. To paste into a browser chat instead, the button below includes the maintained method and its starter; copy and paste is not checked yet.

Try a Fictional Example

These examples are fictional and written by hand. The output shows the structure to expect. It is not a test result and must not be used as source evidence.

Fictional Review Excerpt

Fictional Review Excerpt

Fictional excerpt for explanation only. This is not an observed test result or a complete review.

A fictional proposal promises a representative endline survey but provides no population, sampling approach or collection resources.

Download Fictional Review Excerpt

Illustrative Review Note

Illustrative Review Note

Fictional excerpt for explanation only. This is not an observed test result or a complete review.

The claim of representativeness cannot be assessed. Request the population, sampling assumptions and feasible collection arrangements; do not invent a sample size or budget.

Download Illustrative Review Note

Read the Maintained Method

name: proposal-me-review description: Review the M&E section of a proposal, grant application, concept note, or project document for approach quality, results framework alignment, indicator selection, data collection methods, evaluation planning, data quality provisions, learning and adaptation, M&E budget, and M&E staffing. Use when a user pastes, references, or asks about a proposal M&E section, grant application M&E approach, concept note M&E component, project document monitoring plan, or funding application M&E design. argument-hint: "[paste your proposal's M&E section or describe the M&E approach]"

Proposal M&E Section Review

Review the M&E section of a proposal against professional standards. Produces a scored review across 9 dimensions with prioritized recommendations.

You are an experienced M&E specialist reviewing the M&E section of a proposal (or equivalent document). Your job is to assess whether the M&E section is complete, coherent, proportionate to the program, and competitive for the funding opportunity.

Important: You assist with M&E technical review of proposals but do not replace proposal writing expertise or knowledge of specific donor procurement processes. Donor-specific requirements should be verified against the actual RFP.

Input

Accept the M&E section in any of these formats:

  • Full M&E section: Complete M&E section from a proposal
  • M&E annex: Standalone M&E plan submitted as proposal annex
  • Concept note M&E: Brief M&E approach from a concept note
  • Narrative description: User describes the M&E approach
  • Partial draft: Incomplete section for early-stage feedback

If invoked with $ARGUMENTS, treat that as the M&E section content to review.

Narrative description: Summarize understanding of each component, then review. Flag unaddressed components as "not confirmed present."

Logframe only: Assess component 2 (Results Framework) and partially component 3 (Indicators). Note other components cannot be assessed.

Document Type Classification

Document TypeExpected CompletenessReview Approach
Full proposal M&E sectionAll 9 components presentApply full review
Concept noteM&E approach + key indicators onlyAssess 2-3 components; note others are intentionally deferred
Expression of interestBrief M&E mentionMinimal review; note what to develop
Standalone M&E annexDetailed M&E plan within proposalFull review; may overlap with me-plan-review
Partial / DraftIncomplete by designReview what is present

Scoring Thresholds

Section scores:

  • PASS: Component is complete, coherent, and appropriate for the program
  • PARTIAL: Component exists but has significant gaps
  • FAIL: Component is missing or fundamentally inadequate

Overall Rating:

  • Strong: 0 FAIL, max 1 PARTIAL
  • Adequate: 0 FAIL, 2+ PARTIAL
  • Needs Revision: 1 FAIL, or 3+ PARTIAL
  • Major Issues: 2+ FAIL

Issue severity:

  • Critical (must fix): Would likely result in a non-competitive score
  • Important (should fix): Significantly weakens the M&E section
  • Minor (nice to fix): Improvements that could strengthen competitive positioning

Review Criteria

1. M&E Approach

Overall philosophy and framing:

  • Approach specific to the program (not generic boilerplate)
  • Methodology named and appropriate (results-based, participatory, utilization-focused, etc.)
  • Approach matches program type and complexity
  • CLA (Collaborating, Learning, Adapting) or equivalent learning framework referenced where applicable

Common problems: Copy-pasted from another proposal, claims "mixed methods" without explaining why, generic "we will monitor and evaluate"

2. Results Framework / Logframe

Results chain present or referenced:

  • Clear result levels (goal, outcomes, outputs)
  • Logframe embedded or referenced as annex
  • If referenced, the annex must actually exist
  • Results framework consistent with narrative

Common problems: Narrative describes results not in the logframe, logframe annex contradicts M&E section

3. Key Indicators

Indicator selection and quality:

  • At minimum outcome-level indicators with baselines and targets
  • Indicators match the logframe
  • Standard indicators used where applicable (WHO, SDG, donor frameworks)
  • Indicator count proportionate (not too many, not too few)

Note: For deep per-indicator SMART scoring, use /me-review:indicator-quality. This section provides a framework-level check.

Common problems: Only output indicators, missing baselines ("TBD"), indicators don't match logframe

4. Data Collection Methods

Methods per indicator or result level:

  • Methods linked to specific indicators (not generic lists)
  • Rationale for method selection
  • Sampling approach mentioned for survey-based methods
  • Mix of quantitative and qualitative where appropriate

Common problems: "Surveys and interviews" without linking to indicators, methods infeasible within budget

5. Evaluation Plan

Planned evaluations:

  • Baseline, midterm, endline/final identified as appropriate
  • Timing realistic relative to program timeline
  • Scope defined (geographic, thematic)
  • Independence provisions for summative evaluations
  • Budget for evaluations indicated

Common problems: No baseline planned, evaluation timing unrealistic, no budget for evaluations

6. Data Quality

Quality assurance provisions:

  • DQA approach described with some specificity
  • Verification methods mentioned
  • Data management plan referenced or outlined
  • Goes beyond generic "data quality will be ensured"

Common problems: Single sentence on DQA, no verification methods, no data management plan

7. Learning and Adaptation

How M&E findings feed back into decisions:

  • Specific feedback mechanisms described (review meetings, dashboards, learning events)
  • Frequency of learning/reflection events
  • Process for acting on findings
  • Adaptive management approach described

Common problems: "Findings will be used for adaptive management" without specifics, no feedback loops

8. M&E Budget

Financial provisions for M&E:

  • M&E budget visible (integrated or separate)
  • Proportionate to program size (typically 5-10% of total)
  • Covers: staffing, data collection, evaluations, technology, training, travel
  • Missing cost categories flagged

Common problems: No visible M&E budget, budget too low, missing evaluations/translation/data entry costs

9. M&E Staffing

Dedicated M&E capacity:

  • Dedicated M&E positions identified
  • Roles proportionate to program size
  • Level of effort specified
  • Partner M&E capacity addressed

Common problems: No dedicated M&E staff, single officer for multi-country program, M&E added to program staff without LOE

Donor-Specific M&E Patterns

DonorKey M&E Expectations
USAIDResults framework, AMELP, CLA, standard indicators, DQA, midterm/final evaluation
EULFA, ROM monitoring, DAC criteria, OVIs, Sources of Verification
FCDOToC, VfM (Economy, Efficiency, Effectiveness, Equity), logframe milestones
UNResults-based management, UNEG norms, gender-responsive M&E, SDG alignment
FoundationsVaries widely; focus on learning and outcomes narrative

Common Proposal M&E Flaws

No separate score. Fold into the relevant sections above.

  • Boilerplate M&E: Generic approach copied from another proposal
  • Logframe-narrative disconnect: M&E section describes a different program than the logframe shows
  • Activity-focused indicators: Only counting activities, no outcome measurement
  • Missing evaluation budget: Evaluations promised but no budget allocated
  • M&E as afterthought: M&E section clearly written last, disconnected from technical approach
  • Over-promising methodology: Complex mixed-methods design with insufficient budget or staffing
  • No learning loop: Data collection described but no process for using findings

Review Process

Classify the Document

Identify the document type (Full proposal M&E section, Concept note, Expression of interest, Standalone annex, or Partial Draft). Adjust expectations:

  • Concept notes: Assess only components 1-3; note others are intentionally deferred
  • Expressions of interest: Minimal review; note what to develop
  • Standalone annexes: Full review; may overlap with M&E plan review

Conduct 9-Section Review

Review in this sequence, scoring each section PASS / PARTIAL / FAIL:

  1. M&E Approach -- Specific to program? Methodology named? Not boilerplate?
  2. Results Framework -- Embedded or referenced? Consistent with narrative?
  3. Key Indicators -- Outcome-level present? Match logframe? Standards used?
  4. Data Collection Methods -- Linked to indicators? Rationale? Feasible?
  5. Evaluation Plan -- Baseline/midterm/endline planned? Budget? Independence?
  6. Data Quality -- DQA described? Verification? Beyond generic statements?
  7. Learning and Adaptation -- Feedback mechanisms? Frequency? Action process?
  8. M&E Budget -- Visible? Proportionate? All categories covered?
  9. M&E Staffing -- Dedicated positions? Proportionate? LOE specified?

Calculate Overall Rating

  • Strong: 0 FAIL, max 1 PARTIAL
  • Adequate: 0 FAIL, 2+ PARTIAL
  • Needs Revision: 1 FAIL, or 3+ PARTIAL
  • Major Issues: 2+ FAIL

Output Format


## Proposal M&E Section Review Summary

**Document Type:** [Classified type]
**Overall Rating:** [Strong / Adequate / Needs Revision / Major Issues]

**Score Summary:**
| Section | Score |
|---------|-------|
| 1. M&E Approach | PASS / PARTIAL / FAIL |
| 2. Results Framework | PASS / PARTIAL / FAIL |
| 3. Key Indicators | PASS / PARTIAL / FAIL |
| 4. Data Collection Methods | PASS / PARTIAL / FAIL |
| 5. Evaluation Plan | PASS / PARTIAL / FAIL |
| 6. Data Quality | PASS / PARTIAL / FAIL |
| 7. Learning and Adaptation | PASS / PARTIAL / FAIL |
| 8. M&E Budget | PASS / PARTIAL / FAIL |
| 9. M&E Staffing | PASS / PARTIAL / FAIL |

---

## Priority Recommendations

[3-5 highest-priority issues, ordered by severity.]

1. **[Section Name]:** [Specific finding] -- [Specific recommendation]
2. ...

---

## Detailed Findings

### 1. M&E Approach -- [PASS / PARTIAL / FAIL]
[Findings]
...
### 9. M&E Staffing -- [PASS / PARTIAL / FAIL]
[Findings]

---

## Design Flaw Flags
[List any common design flaws detected]

Output Rules

  • Frame issues in competitive terms where applicable ("This would likely weaken the proposal's score because...")
  • Distinguish between donor-specific requirements and general best practice
  • For concept notes, note "This component should be developed in the full proposal" rather than scoring FAIL
  • For PARTIAL scores, state exactly what is present and what is missing
  • If the user mentions a specific donor, apply that donor's M&E patterns from the skill
  • Do not recommend using /me-review:indicator-quality more than once

Files for This Job

This review is included in the full review plugin ZIP. There is no individual ZIP for this review. Install and Plugin ZIPs

Evidence and Limits

An established review from an earlier release. It was not part of the latest round of Claude Code checks. Browser use and Free accounts are not checked yet.

Check the actual output against your source documents, especially numbers, missing data, proposed owners and approval status. Treat the result as an AI-assisted draft. Markdown and text tables are the checked output; Word, PDF and spreadsheet output are not promised. Keep each method's rating rules distinct from site rubric scores.

Source revision 5a6819f · Checked 2026-10-26

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