Research-Grade XLSForms, Ready for Deployment.

- Farmer Identification and Mapping: Captures farmer ID, name, and GPS coordinates to uniquely identify and geolocate producers. - Field and Crop Characterization: Records crop type, crop variety, field size, and supports specification of other crops when applicable. - Harvest Data Collection: Collects total harvest weight to document production outcomes at the field level. - Automated Yield Calculation: Automatically calculates yield per hectare (kg/ha) based on harvest weight and field size. - Instant Yield Feedback: Displays calculated yield values directly in the form for immediate interpretation. - Farmer Satisfaction and Context: Captures farmer satisfaction with yield and allows additional qualitative comments.

- 1. Knowledge - Detailed food group awareness - Balanced diet knowledge - Portion size understanding - Generates Nutrition Literacy Index - 2. Attitude

- Tracking multiple digital tools per farmer - Recording purpose-specific information accessed - Frequency of use and usefulness rating - Capturing support or training received - Notes for qualitative insights

- Multi-equipment ROI tracking: Records ROI for each type of precision equipment - Cost & savings breakdown: Separately tracks purchase, operational costs, and net gains - Usage metrics: Captures active usage days and maintenance days - ROI & efficiency scoring: Computes ROI, net gain, and efficiency index - Benefit & barrier identification: Records main benefit realized and main challenge - Adoption readiness: Measures willingness to expand and effort in onboarding

- Aid Dilution Tracking: Automatically flags households that sold more than 50% of their aid, allowing analysts to identify if the assistance met the actual needs. - Quality Satisfaction Index: Converts subjective quality ratings into a numerical score (1-3) for rapid aggregation of vendor performance across different sites. - Protection Risk Monitoring: Calculates a binary risk flag if safety or communication protocols were breached, enabling immediate follow-up by protection teams. - Utilization Analysis: Uses a multi-select list to capture the diverse ways aid is used, providing "day 1" data on whether seeds were planted, stored, or eaten. - Logic-Driven Verification: The form dynamically hides outcome questions if the respondent did not receive the items, ensuring the dataset is clean and relevant for analysis.

- Tracking multiple livestock types per farm - Recording mortality reasons - Tracking vaccination types and dates - Automatic computation of mortality % and vaccination coverage %

- Target users: Government Agencies, Hospital Administrators, Procurement Officers - Ranking system: Farmers rank top research problems to indicate priority - Auto-calculated priority: Sum of ranks produces a priority score - Conditional follow-ups: Triggered if any problem is ranked as #1 - Metadata: Farmer name, farm size, location, country - Global applicability: Includes international country options

- Multi-Auditor Tracking - Record multiple auditors per facility - Capture date and time of each audit - Cross-verify batch compliance - Batch-Level Weighted Compliance - Assign weight per batch based on importance

- Target users: Importers, Exporters, Economists, Commodity Traders - Intermediate depth: More detailed than simple version but still lightweight - Engagement module: Identifies type of SME engagement - Multi-barrier module: Captures frequency and prevalence of key barriers - Ranking question: Adds analytical depth by forcing prioritization of barriers - Severity scoring: Simple numeric scoring for dashboards

- Farmer Identification and Geolocation: Captures farmer ID, name, and GPS coordinates to uniquely identify and spatially reference farms. - Field and Crop Profiling: Records field/plot ID, field size, and crop type, with flexibility to specify other crops when applicable. - Agrochemical Usage Tracking: Documents types of agrochemicals used and frequency of application during the season. - Safety Practice Monitoring: Records whether personal protective equipment (PPE) was worn during agrochemical application. - Data Quality Controls: Enforces required fields and numeric constraints to ensure valid and consistent data entry. - Qualitative Observations: Provides space for additional comments to capture context, risks, or observations not covered by structured fields.

- 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