Research-Grade XLSForms, Ready for Deployment.

'- Target Users: Importers, Exporters, Economists, Commodity Traders - Multi-product repeat group: Enables detailed assessment for multiple product items - Cost structure module: Allows margin analysis and competitiveness modeling - Shelf presence scoring: Includes shelf facings and shelf ratio metrics - Advanced competitiveness index: Weighted index combining price, quality, brand strength, shelf presence - Demand elasticity & supply resilience: Supports market modelling

'- Target User Filtering: Form includes only relevant groups: Importers, Exporters, Economists, Commodity Traders - Intermediate Complexity: Includes skip logic + scaled responses for better analysis - Relevant Skip Logic: Key sections appear only if respondent participates in contract farming - Analytics Ready: Numerical field (avg_days_resolved) supports averages & trend analysis - Transparency Focus: Examines clarity of contract terms and fairness mechanisms - Usability: Balanced detail without overwhelming respondents

'- Actor identification: Captures type of respondent (farm worker, union, NGO, cooperative) - Minor count & details: Records number of children and optional ID - Age-specific labor reporting: Captures age of minors for compliance assessment - Task-level hazardous mapping: Records which tasks minors perform and frequency - Hours worked: Tracks hours per day and per week per child - Supervision assessment: Records supervision levels for each minor

'- 1. Multi-Sector Analysis - Tracks youth participation by agribusiness sector - Weighted scoring for each sector, accounting for barriers and facilitators - 2. Access & Support - Captures access to finance and training - Facilitator mapping to identify enabling factors

- Tracks multiple feeds per farm with optional ‚other type - Seasonal availability and preference ranking - Photos of feed quality and GPS mapping of feed storage/source - Automatic nutritional adequacy scoring - Pivot-ready for cost, nutritional, and availability analysis

'- Includes GPS + segmentation: Allows geospatial analysis and stakeholder comparisons - Digital readiness scoring: Automatically calculates readiness based on literacy, device access, internet - Moderate blockchain familiarity probing: Moves beyond simple awareness to depth of exposure - Barriers & benefits mapping: Supports comparative readiness and adoption analysis - Multi-factor capability assessment: Smartphone, computer, data entry skills - Trust & willingness indicators: Important for adoption modeling

'- Indicator Aggregation: Automatically aggregates 14 standardized questionnaire rows into the 10 core MDD-W food groups. - Automated Scoring: Real-time calculation of the dietary diversity score (0-10) and binary threshold (Minimum Diversity achieved if score >= 5). - Validation Logic: Constraints ensure data is only collected for women of reproductive age (15-49 years). - Standardized Probing: Labels and hints provide clear examples for each food group based on FAO/FANTA guidelines to reduce recall bias. - Clean Data Export: Uses binary coding (1/0) for analysis-ready exports compatible with statistical software.

'- Target users: Veterinarians, Quality Auditors, Lab Technicians - Simple design: Minimal fields for rapid data collection - Livestock coverage: Poultry, cattle, sheep, goats, pigs - Sample types: Feces, milk, tissue, swab - Key pathogens: E. coli, Salmonella, Staphylococcus, Campylobacter - Antimicrobial resistance: Tracks resistance to common antimicrobials

'- Targeted users: Relevant for Urban Farmers and Seed Producers. - Multi-type harvest tracking: Records multiple types of wild foods collected. - Quantity & frequency: Captures monthly collection quantity and harvest frequency. - Sustainability practices: Tracks whether sustainable harvesting methods are followed. - Harvesting tools & methods: Records tools and methods used for extraction. - Seasonality tracking: Indicates whether harvesting is seasonal or year-round.

- Target users: Veterinarians, Quality Auditors, Lab Technicians - Multi-supplier & multi-batch: Tracks multiple suppliers and product batches per submission - Weighted fraud risk scoring: Adulteration, mislabeling, lab testing, anomalies contribute to 0-10 risk score - Conditional follow-ups: Triggered for batches with risk score ‚â•5 - Detailed metadata: Supplier, product type, batch ID, inspection date, lab testing, adulteration, mislabeling, anomalies - Key checks: Adulteration, dilution, mislabeling, lab testing, observed anomalies

'- Farmer Identification & Location: Captures farmer details and GPS coordinates to link production and financial data to specific producers and locations. - Crop and Production Tracking: Records crop type, field size, and total production volume, with flexibility to specify other crops. - Detailed Cost Breakdown: Collects individual input costs (seed, fertilizer, labor, other) to support transparent cost analysis. - Automated Cost Calculation: Automatically calculates total production cost from individual cost components. - Revenue and Profit Analysis: Computes total revenue and profit using selling price and production data, providing immediate financial insight. - Profit Satisfaction Feedback: Captures farmer perception of profitability alongside quantitative profit calculations for contextual understanding.