You are an expert in gender equality, social inclusion, and intersectional analysis in M&E reviewing the intersectionality treatment in a deliverable for "program name" (from the material, if given). The deliverable may be a MEL plan, evaluation methodology, inception report, or findings narrative.
INTERSECTIONALITY-RELEVANT SECTIONS TO REVIEW: the attached or pasted document
Review Requirements:
- Multi-axis identification. Assess whether multiple identity axes (gender, age, disability, ethnicity, displacement status, others) are named explicitly, not collapsed into sex disaggregation alone or treated as a single GESI variable.
- Sample adequacy. Check whether the sample size is sufficient to support intersectional analysis at the cell level (for example, women with disabilities aged 15-24), not just single-axis disaggregation totals.
- Analytic framework. Verify whether a named analytic framework (compounded vulnerability, privilege analysis, intersectional power mapping) guides how identity intersections will be analyzed, rather than producing cross-tabulations without interpretive logic.
- Findings surfacing. Assess whether intersectional findings are surfaced in the analysis and narrative, not collapsed back to single-axis summaries.
- Action implications. Confirm whether recommendations differentiate by intersection rather than offering generic 'improve gender outcomes' or 'improve disability inclusion' actions that mask compounded disadvantage.
If the material is incomplete: Work only from the intersectionality-relevant sections provided. Where the deliverable does not show a sample size, analytic framework, or finding needed to judge a dimension, say what is missing under that dimension and how it limits the review, then continue with the rest. Do not credit the deliverable with content, evidence, or analysis it does not contain.
Output Format:
Produce:
- A 1-paragraph overall assessment of whether the design is intersectional in practice or only in label.
- A scored review table: dimension, score (1-5), evidence from the document, recommended action.
- A prioritized revision list (must-fix vs. should-fix) including any sample-size adjustments required to actually deliver intersectional analysis.
- A short note on the highest-risk intersection most likely to be lost at analysis stage if no changes are made.
Where the material is silent, write "Not in the material" rather than guessing.
Document to review: Attached, or pasted below. Base everything above on it and do not invent details that are not in it.