Research-Grade XLSForms, Ready for Deployment.

'- Tracks multiple activities per actor - Calculates GHG emissions from electricity, fuel, transport, and waste - Aggregates total emissions per activity and actor - Ready for basic reporting and cross-tab analysis

- Actor identification: Captures type of respondent (farmer, herder, cooperative, NGO, extension officer) - Household repeat group: Supports multiple households per community for detailed tracking - Incident repeat group: Records multiple conflict incidents per household/community - Incident date: Records date of each conflict incident - Conflict type: Captures type of tension/conflict - Severity rating: Multi-dimensional severity (1-5)

- Target users: Veterinarians, Quality Auditors, Lab Technicians - Multi-facility & multi-product: Tracks multiple facilities and products per submission - Weighted compliance scoring: Each practice weighted for a 0-10 score - Low compliance follow-ups: Conditional questions triggered for score <7 - Detailed metadata: Facility type, product type, allergens, production line, cleaning frequency - Key practices: Cross-contamination risk, separate lines, cleaning protocols, labeling compliance

'- Actor identification: Captures type of respondent (importer, exporter, economist, trader) - Repeatable trade routes: Allows multiple routes per actor/company - Commodity type: Captures main commodity involved for each route - Monthly and annual volume: Enables reporting of both short-term and yearly estimates - Trade direction: Into or out of country - Risk encounters: Tracks enforcement or other risks associated with each route

'- WFP EFSA methodology: Uses official WFP Emergency Food Security Assessment framework for rapid post-shock assessment immediately following disasters, conflicts or droughts - Comprehensive household profiling: Captures household composition including vulnerable groups (pregnant/lactating women, sick adults) for targeted intervention planning - Displacement tracking: Documents displacement status, timing, and reasons to identify crisis-affected populations and inform humanitarian response programming - Multi-dimensional vulnerability assessment: Examines housing, water access, energy sources, income, and assets to build complete picture of household vulnerability and resilience - Temporal comparison design: Collects current status and 6-month retrospective data to measure shock impact and identify changes in key indicators over crisis period - Income and livelihood analysis: Assesses income sources, regularity, changes, and household economic strategies including migration patterns and kinship support networks

'- Actor identification: Captures type of respondent (farm worker, union, NGO, cooperative) - Migrant worker count: Records total number of seasonal migrant workers - Housing type: Identifies type of accommodation provided - Hygiene facilities: Assesses availability of toilets, showers, and water supply - Safety measures: Checks structural and fire safety measures in housing - Legal status: Captures verification of work permits and legal documents

'- Full transaction breakdown: Tracks B2B vs B2C adoption and per-platform usage - Platform-specific counts: Records number of transactions per mobile money platform - Digital penetration scoring: Calculates % digital adoption per transaction type - Device & connectivity readiness: Evaluates device access, type, and internet quality - Adoption barriers analysis: Captures key constraints for adoption - Willingness and onboarding readiness: Measures behavioral readiness for adoption

'- Metadata Capture: Auto-captures device ID, start/end time, and date - Dynamic Skip Logic: Many sections activate only if respondent engages in contract farming - Power Dynamics Assessment: Evaluates leverage between buyers and growers - Trust Index Score: Auto-calculated using weighted components (clarity, power balance, trust, payment reliability) - Financial Transparency Metrics: Includes premiums, payment reliability, and term transparency - Dispute Ecosystem Mapping: Multi-level dispute type + resolution understanding

'- Automated Severity Index: Calculates a composite "Severity Score" across four sectors (WASH, Food, Health, Shelter) to provide an instant heat-map of the crisis. - Dynamic Prioritization: Forces unique selection of top and second priorities using XLSForm constraints, ensuring clear directional data for logistics teams. - Analysis-Ready Coding: All choice values are normalized and categorized (e.g., 'none', 'limited') to allow for immediate aggregation into OCHA-standard reporting templates. - Cross-Sectoral Weighting: Uses calculation logic to flag 'Critical' status (Score 3) if any life-saving indicator (e.g., zero water access) is triggered. - Time-Sensitive Design: Minimal question set designed for completion within 15 minutes per site/community to meet the 72-hour rapid assessment window.

- Relevant user filtering: Only Urban Farmers can access the survey. - Basic grazing metrics: Collects data on herd size, pasture area, and rotation counts. - Regeneration tracking: Captures rest period and regeneration rate indicators. - Simple constraints analysis: Records the farmer's top pasture-management challenge. - Suitable for quick data entry: Clean, minimal question set optimized for fast collection.

'- Target users: Government Agencies, Hospital Administrators, Procurement Officers - Multi-tax repeat group: Tracks multiple taxes per business - Auto-calculated burden: Each tax compared to turnover to generate burden score - Conditional follow-ups: Triggered for high tax burden (score=1) - Tax metadata: Tax type, amount paid, registration status - Key checks: Business type, turnover, tax registration, tax paid, burden impact