Research-Grade XLSForms, Ready for Deployment.

- Track travel time and distance per route segment - Identify checkpoint-related delays per segment - Assess checkpoint type and congestion level - Capture reasons for delay - Enable segment-wise analysis for optimizing routes - Compare routes and delays across different respondent types

- Days of stock coverage ‚ ${stock_on_hand} / avg_daily_sales - Stock-risk level ‚ High (<3 days), Medium (3-6.99), Low (>7) - Performance Analysis - Stock-out frequency by: - product, category, business type, location - Lead-time distribution (mean, variance)

'- Captures water usage and production quantity per activity - Calculates water footprint per unit of food - Allows basic qualitative notes - Compatible with Kobo/ODK for rapid data collection and basic analysis

'- Actor identification: Captures type of respondent (farm owner, cooperative, agribusiness, union, NGO) - Owner demographics: Records age of current farm/business owner - Succession status: Captures whether a successor has been designated - Successor intent: Captures whether the next generation intends to take over - Successor details: Optional text field for successor name, relation, or planned role - Open-ended notes: Allows additional observations or comments

'- 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.