Qualitative analysis of gender-responsive food policy

The Soc Trang PLOS study found that gender-aware policy language exists but implementation gaps (unstable funding, limited training access for women, and weak local–national alignment) prevent intended outcomes. A two-week pilot workflow that combines thematic coding with cross-segment frequency checks can convert transcripts, surveys, and policy documents into frequency-backed, operational recommendations.

• The PLOS Soc Trang case (published Jul 1, 2026) shows persistent implementation gaps despite policy references to gender.
• Study sample and timing: May–Oct 2024 fieldwork, 24 key informant interviews (12 men, 12 women), 24 household surveys, and 6 FGDs.
• Top metrics reported: 92% of surveyed households perceived women benefit from programs; 83% in An Thanh 3 said men receive most agricultural training; 66.7% identified men as primary agricultural decision-makers; 25% reported joint decision-making.

The PLOS study in Soc Trang found progress in gender-aware policy design but persistent implementation gaps, including unstable funding, limited training access for women, and weak alignment between local and national efforts. Vietnam’s Soc Trang case shows progress in policy design but persistent implementation gaps: unstable funding, limited training access for women, and weak local–national alignment. The study (Pham et al., published July 1, 2026) triangulates a policy review, NVivo-coded interviews (n=24), household surveys (n=24), and 6 FGDs collected May–Oct 2024.

• Major friction points: short-term/project funding, inaccessible training information, and entrenched social norms limiting women’s technical participation.
• Notable metrics from the paper: 92% of surveyed households perceived women benefit from programs; 83% (An Thanh 3) reported men receive most agricultural training; 66.7% of households identified men as primary agricultural decision-makers; only 25% reported joint decision-making.
• Practical implication: policy references to gender exist, but monitoring, financing, and locally driven implementation are weak, so qualitative evidence must be synthesized into operational, local plans.

The study used a mixed-methods case study in Soc Trang Province combining a systematic policy review, 24 key informant interviews, 24 household surveys, and 6 FGDs between May and Oct 2024. Interview transcripts were coded in NVivo, and themes were triangulated with survey frequencies and policy documents to identify gaps between national policy and local uptake.

• Policy review: inductive and deductive content analysis to map stated gender measures.
• Qualitative data: open coding leading to thematic analysis to surface barriers (funding, norms, access to training).
• Quantitative complement: simple frequencies used to show distribution of perceptions and access.

This 10-step workflow converts raw field data into a short policy brief within a two-week pilot when applied to one district and two communes. Run this workflow on a pilot corpus (one district / two communes) to replicate the Soc Trang analysis quickly.

• 1) Gather: collect transcripts, audio, policy PDFs, and household survey spreadsheet.
• 2) Ingest: upload materials to Evidano; run PII redaction and select custom agricultural terms.
• 3) Transcribe & Translate: produce searchable transcripts with speaker metadata.
• 4) Auto-code: seed codebook from policy review and auto-apply to transcripts.
• 5) Review: human-in-the-loop validate and refine hierarchical codes to subcodes.
• 6) Cross-segment analysis: generate frequency tables by gender, commune, and age cohort.
• 7) Visualize: co-occurrence network for barriers (funding, access, norms) and word cloud for sentiment cues.
• 8) Synthesize: export a two-page executive brief with representative quotes and frequency-backed recommendations.
• 9) Stakeholder review: share a clickable report with local partners for validation.
• 10) Iterate: update the codebook and re-run to track changes over time.

The Soc Trang case (published Jul 1, 2026) demonstrates that policy clarity alone will not change gendered outcomes, rigorous segmented qualitative analysis does. If you are running qualitative analysis of gender-responsive food policy, start by structuring transcripts and survey data for cross-segment synthesis, then produce frequency-backed recommendations policymakers can act on.

• Quick win: run a two-week Evidano pilot (upload assets, auto-code, produce brief) and compare local perceptions versus national policy statements.
• Ethics note: this is research-focused, not diagnostic; maintain consent and PII controls when sharing outputs.

Ready to convert field data into policy-ready insights? Start a pilot on Evidano and reproduce the Soc Trang analysis in your target districts. See the original study at PLOS Sustainability Transformation for reference. Try Evidano for free.