Research-Grade XLSForms, Ready for Deployment.

'- Tracking multiple plots per farmer - Detailed ownership type and lease information - Recording land disputes per plot - GPS mapping of individual plots

- Meal quality evaluation: taste, variety, portion size, nutrient adequacy - Frequency coverage: days per week meals are served - Program impact: health, attendance, learning improvements - Satisfaction scaling - Barriers & facilitators analysis for targeted program improvement

'- Stock-out frequency - % of retailers who ran out of product - Average days of stock-outs per market - Inventory adequacy - Compare stock on hand vs. daily demand - Automatic High/Medium/Low risk categorization

'- 1. Full Water Quality Index (WQI) - A standard environmental index combining: - Ammonia - Oxygen - pH - Temperature

- Target users: Government Agencies, Hospital Administrators, Procurement Officers - Multi-tender repeat group: Allows multiple tenders per respondent - Transparency scoring: Each ‚yes contributes 1 point (0-4) - Conditional follow-ups: Triggered if score <4 - Tender metadata: Tracks tender type, ID, date, evaluation criteria, complaint handling - Key checks: Fair process, equal opportunity, clarity of criteria, complaint handling

- Platform identification: Captures which e-commerce platform the respondent uses - Usability scoring: Captures ease of use, clarity, and transaction experience - Support assessment: Measures perceived quality of platform support/help - Simple rating scales: 1-5 Likert scales for ease of analysis - Targeted respondents: Only Ag-Tech Startups, Early Adopters, Machinery Dealers included - Basic analysis-ready: Allows quick calculation of average usability and satisfaction scores

'- Capture business identity and context: Collects respondent ID, business name, type, and market location for clear profiling of surveyed businesses. - Track customer footfall across seasons: Records average daily customers for current, peak, and low seasons to understand demand variability. - Monitor short-term demand trends: Compares current customer traffic to the previous month and captures reasons for any change. - Document product-level demand insights: Allows repeated entry of major products with current demand levels and recent demand trends. - Apply basic data validation and logic: Ensures realistic values (non-negative counts) and shows conditional questions only when relevant. - Support market and demand analysis: Produces structured, comparable data for analyzing business performance, seasonality, and market dynamics.

'- Actor identification: Captures type of respondent (farm worker, union, NGO, cooperative) - Total migrant worker count: Records total number of seasonal migrant workers - Housing unit mapping: Records each housing unit and number of workers in it - Worker-level details: Records individual worker information per housing unit - Housing type & occupancy: Captures type of accommodation and density per unit - Hygiene & safety: Assesses availability of facilities and safety measures

- Better analysis compared to simple version: - Route segmentation ‚ analyze road conditions per segment - Photos for verification

'- 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