Research-Grade XLSForms, Ready for Deployment.

'- Beginner-friendly: Minimal questions, no logic - Relevant users: Urban Consumers + Environmentalists only - Quick insights: Availability, affordability, quality, needed improvements - Very light structure: Perfect for short field surveys

'- Knowledge score (food groups + balanced diet) - Attitude score (importance, avoidance, cost perception) - Practice score (frequency of healthy behaviors) - Analysis of barriers to healthy eating - Conditional relevance ensures cleaner and more actionable data

- Real-time Food Source Balancing: Includes a "Total Food Source Check" that alerts enumerators if the sum of consumption percentages does not equal 100% before they leave the section. - Survival Threshold Modeling: Calculates the "Survival Deficit Ratio" on-the-fly, allowing analysts to identify households unable to meet minimum kilocalorie and essential non-food needs. - Shock Impact Simulation: Allows enumerators to input a hypothetical crop loss percentage to see immediately if a household falls below the survival threshold. - Wealth Group Integration: Categorizes data by community-defined wealth ranks (Very Poor to Better-off), the cornerstone of HEA methodology for stratified analysis. - Clean Analysis-Ready Aggregates: Automatically sums individual income and expenditure lines into total annual categories, removing the need for complex data cleaning scripts in Excel/SPSS.

- Track individual farmer obligations - Compute total obligations vs cash available - Compute liquidity ratio

- Temperature change (deg C) from loading to arrival - Frequency of cold chain breakage - Monitoring compliance (yes/no) - Comparison across commodity types - Variation across respondent categories

- Multi-dimensional: Covers zoning, space, pollution, social, economic, and climate constraints. - Targeted urban users: Relevant to urban farmers, beekeepers, fish farmers, and seed producers. - Regulatory & legal metrics: Captures permits, compliance, and legal support access. - Environmental & climate data: Includes pollution types, severity, soil quality, and climate risks. - Resource & market assessment: Tracks water, electricity, inputs, storage, and market access. - Social & community factors: Neighbor conflicts, training, community support, and gender inclusion.

- Target users: Veterinarians, Quality Auditors, Lab Technicians - Intermediate depth: Adds sample metadata and testing details beyond simple survey - Storage info: Captures storage conditions for better analysis of contamination risks - Risk & severity scoring: Includes aflatoxin levels, risk categories, and severity perception - Repeat test logic: Flags samples needing retesting - Global applicability: Uses international country options

'- Survey and Enumerator Tracking: Records survey start/end times, device ID, and enumerator name for accountability and data auditing. - Farmer Identification and Geolocation: Captures farmer details and GPS coordinates to link harvest and loss data to specific producers and locations. - Multi-Crop Harvest Reporting: Supports repeated entry of multiple crops per farmer to capture diversified production systems. - Harvest and Post-Harvest Loss Quantification: Collects harvested and immediately lost quantities with built-in validation to ensure realistic values. - Automatic Loss Percentage Calculation: Automatically computes post-harvest loss percentages for each crop to support analysis and reporting. - Loss Drivers and Storage Practices: Captures reasons for post-harvest losses and storage/handling methods to identify intervention points.

- Targeted respondents: Only Ag-Tech Startups and Early Adopters are included. - Regulation perception scoring: Captures perceived strictness and impact of drone laws. - Basic drone usage profiling: Records whether drones are used and for how long. - Short, fast, and analysis-ready: Designed for quick interviews and simple quantitative analysis. - Optional open text: Allows capturing nuanced challenges related to drone regulations.

'- Targeted users: Relevant for Urban Farmers and Seed Producers. - Tree integration tracking: Captures whether trees are planted and the area they cover. - Tree density: Records tree density for analysis of canopy effects. - Crop interaction: Tracks whether crops are grown under tree canopy. - Economic benefit: Records estimated increase in income due to tree integration. - Ecological benefits: Captures key observed ecological benefits like shade, soil fertility, or windbreak.