Research-Grade XLSForms, Ready for Deployment.

- 1. Multi-Domain Weighted Scoring - Relevance, application, yield improvement, and timeliness are scored with weights - Produces session-level and total effectiveness scores - 2. Barriers & Facilitators Mapping - Captures factors hindering or helping effective extension - Counts barriers and facilitators for analytical insights

- Actor identification: Captures type of respondent (farmer, herder, cooperative, NGO, extension officer) - Incident date: Records the date of the conflict incident - Conflict type: Captures the type of tension or conflict (grazing, water, crop damage, etc.) - Severity rating: Self-reported or observed severity (1-5) - Actors involved: Identifies who was involved in the conflict - Description & resolution: Optional text fields to describe the incident and resolution

- GPS & Segment Analysis - GPS-trace of entire route - Segment-level distance and time tracking - Calculate total travel distance and delays - Checkpoint & Delay Analytics - Track delays at each checkpoint

- Farmer and Field Identification: Captures farmer details, GPS location, field/plot ID, size, and crop type for traceable agrochemical monitoring. - Flexible Crop Classification: Supports standard crop selection with the ability to specify ‚other crops when needed. - Repeated Agrochemical Application Tracking: Allows multiple agrochemical applications to be recorded per field within a single survey. - Detailed Agrochemical Use Documentation: Records agrochemical type, brand name, and application frequency for each use cycle. - Personal Protective Equipment (PPE) Monitoring: Tracks PPE types used and whether PPE was fully complied with during application. - Automated Risk Scoring: Calculates a risk score based on application frequency and PPE compliance to flag higher-risk practices.

- Expanded pasture detail: Multiple pasture types, water source, condition, and regeneration tracking. - Grazing system analysis: Tracks method, rotation counts, rest period, herd size, and fodder types. - Soil & erosion indicators: Allows environmental monitoring. - Multi-select challenges: Supports richer qualitative analysis. - GPS-enabled: Captures geographic coordinates for spatial analysis. - Grouped structure: Logical sections for cleaner navigation.

- Target users: Government Agencies, Hospital Administrators, Procurement Officers - Simple design: Minimal fields for rapid data collection - Focus: Nutritional assessment of meals in hospitals and prisons - Key checks: Meal type, calories, protein, fat, fiber, sugar, satisfaction - Global applicability: Includes international country options - Notes field: Allows qualitative observations

- Target users: Veterinarians, Quality Auditors, Lab Technicians - Multi-product repeat group: Allows multiple product lines per facility - Compliance scoring: Each practice contributes to a simple compliance score (0-4) - Follow-up logic: Conditional questions triggered for low-compliance products - Product metadata: Tracks product type and allergens present - Key practices: Cross-contamination risk, separate lines, cleaning protocols, labeling compliance

- Enumerator and Device Traceability: Records survey timestamps, enumerator name, and device ID to ensure data accountability and auditability. - Geospatial Farmer and Field Mapping: Captures farmer details along with precise field boundaries (polygon) and location information for spatial analysis. - Flexible Crop Data Capture: Supports selection of standard crops or entry of custom crops, enabling comprehensive coverage of diverse farming systems. - Detailed Harvest and Loss Measurement: Collects harvested and immediately lost quantities and automatically calculates post-harvest loss percentages. - Multi-Location Storage Loss Tracking: Allows repeated capture of multiple storage locations, recording stored quantities, losses, causes, and photos for verification. - Automated Loss Indicators for Decision Support: Automatically computes loss percentages at harvest and storage stages to support targeted post-harvest interventions.

- Automatic Analytics - Days of stock coverage = stock_on_hand / avg_daily_sales - Risk categorization: High / Medium / Low - Stock-out duration statistics - Supplier lead-time distribution - Better Product-Level Analysis

- Actor identification: Captures type of respondent (farm worker, union, NGO, cooperative) - Location & GPS: Records community, village, and optional GPS location - Crop & seed details: Supports multiple crops and indigenous seed varieties per respondent - Practice status: Captures whether the practice is still common, fading, or lost - Years practiced: Records historical duration of traditional practice - Threats identification: Captures factors threatening traditional practices and seeds

- Actor identification: Captures type of respondent (importer, exporter, economist, trader) - Trade route description: Open text for informal trade route reporting - Estimated volume: Numeric field for estimated food volume (metric tons/month) - Commodity type: Captures the main commodity involved - Direction: Captures whether trade is into or out of the country - Informal trade method: Optional text describing the smuggling method used