Research-Grade XLSForms, Ready for Deployment.

• Type of respondent (household, school, restaurant)
• Key HFIAS questions: worry, inadequate quality, limited variety, reduced quantity
• Optional comments

• Targeted users: Only relevant for Seed Producers.
• Expanded crop info: Captures crop name, area, planting method, and rows/plants per field.
• Isolation & cross-pollination: Includes isolation distance, rogueing, pollen management, and border crops.
• Seed quality metrics: Tracks genetic purity, seed health, moisture content, and germination rate.
• Analysis-ready: Enables frequency and scoring analysis across multiple quality and purity indicators.
• Structured grouping: Clear groups for respondent info, crop info, isolation practices, and seed quality.

• Automated Terms of Trade (ToT): Calculates the Goat-to-Maize ratio instantly, a key indicator for pastoralist food security used by FEWS NET and WFP.
• Price Variation Logic: Includes a calculation field for percentage change from a reference price to help enumerators verify outliers before submission.
• Flexible Unit Standardization: Supports multiple local units (Tins, Bags) while maintaining a structure that allows for easy conversion to metric units in analysis.
• Repeatable Commodity Module: Uses a repeat group for prices, allowing the same form to scale from 3 basic commodities to a full market basket of 20+ items.
• Market Sentiment Indicators: Pairs quantitative price data with qualitative supply and volume trends for a holistic view of market health and potential shocks.

• Composite Scoring: Combines interest, trust, awareness & price sensitivity
• Auto Consumer Typology: ‚Highly Engaged ‚Moderately Interested ‚Low Engagement
• Claim-Level Rating: Repeat group captures interest per health claim
• Trust Dimensions: Separates scientific trust vs marketing trust
• Price Sensitivity Analysis: Includes premium thresholds + bracket selection
• Conditional Blocks: Awareness ‚ Experience ‚ Interest ‚ Purchase

• Advanced digital competency scoring: Weighted scoring for literacy, device skill & data entry
• Infrastructure readiness indexing: Evaluates device type, internet quality & speed
• Blockchain knowledge depth: Tracks familiarity, use cases & experience
• Trust and willingness modeling: Captures psychological readiness for tech adoption
• Value-chain integration mapping: Identifies where blockchain fits in existing workflows
• Recordkeeping maturity assessment: Paper vs digital + accuracy level

• 1. Multi-Line & Batch Tracking
• Track multiple production lines per facility
• Track batch-level input, output, and waste per line
• 2. Weighted Scoring & Efficiency
• Assign weights per batch or line to reflect importance
• Compute weighted conversion and waste rates

'- Captures field staff and supervisor details with visit date and GPS location for clear accountability and traceability. - Records completed tasks and observed issues to document field activity and operational challenges. - Enables conditional photo capture when issues are observed, improving evidence-based reporting. - Collects structured performance ratings on timeliness and accuracy using standardized Likert scales. - Provides space for qualitative notes and recommendations to add contextual insights beyond quantitative data.

'- Track packaging details at product level - Compute sustainable packaging percentage - Record reasons for packaging choices - Compare sustainability across products and facilities - Support analysis for sustainability improvement plans

'- WFP-validated methodology: Uses the official 8-food-group FCS developed by WFP in 1996 with standardized food group weights for global comparability - Automatic FCS scoring (0-112): Calculates weighted score by multiplying each food group frequency by its nutritional weight (staples=2, pulses=3, vegetables=1, fruit=1, meat/fish=4, dairy=4, sugar=0.5, oil=0.5) and summing - Three-tier consumption categorization: Classifies households into poor (0-21), borderline (21.5-35), or acceptable (>35) food consumption using WFP standard thresholds - Nutritional weighting system: Applies WFP standardized weights reflecting relative nutritional density of food groups, with animal products weighted highest - 7-day recall period: Uses standard 7-day recall to capture usual household diet patterns and reduce day-to-day variation in consumption - Frequency-based measurement: Captures number of days each food group consumed (0-7) rather than just presence/absence, providing richer consumption data

'- Multi-product repeat captures detailed information per adulterated product - Frequency and severity ratings allow more granular analysis - Conditional questions only appear if the respondent is aware of adulteration - Aggregated structure is ready for basic analytics and reporting

'- Farmer Identification & Location: Captures farmer details and GPS coordinates for traceability and spatial analysis. - Field-Level Data Collection: Records unique field/plot IDs and field size to support plot-specific monitoring. - Crop Type Documentation: Captures primary crop type with support for specifying alternative crops when applicable. - Harvest Quantity Tracking: Records total quantity harvested to establish production baselines. - Post-Harvest Loss Measurement: Captures immediate post-harvest losses and associated reasons for loss analysis. - Automatic Harvest Summary: Displays a real-time summary of harvested versus lost quantities to aid quick review and validation.

'- Capture Farmer and Field Identification: Collects farmer details, GPS location, and core field identifiers to clearly link production data to specific plots. - Document Crop and Planting Information: Records crop type, variety, planting date, field size, and seed rate to establish agronomic context. - Track Input Use and Farm Management Practices: Captures fertilizer use, types applied, application rates, and total labor used for input intensity analysis. - Ensure Data Quality Through Validation: Applies constraints and conditional relevance (e.g. fertilizer details only if fertilizer was used) to reduce errors. - Automatically Calculate Yield Performance: Computes yield per hectare from harvest weight and field size, removing the need for manual calculations. - Capture Farmer Feedback and Observations: Includes farmer satisfaction with yield and open comments for qualitative insights.