Research-Grade XLSForms, Ready for Deployment.

'- Measure total travel time and distance - Identify checkpoints causing delays - Assess checkpoint type and congestion level - Track reasons for delay - Compare routes across different respondent types (middlemen, transporters, brokers, warehouse managers)

'- Quickly identify which brand is preferred - Understand the main reasons behind preference - Capture a taste rating (numeric) for easy analysis - Works for households, schools, restaurants

'- Target users: Urban Consumers, Environmentalists, Gig Workers - Ranking system: Respondents rank top 3 reasons for their willingness/hesitation - Acceptance scoring: Weighted score based on willingness selection - Conditional follow-ups: Triggered for hesitant or non-willing respondents - Metadata: Respondent name, role, country, current protein consumption - Global applicability: Can include international country options

'- WFP-validated methodology: Uses the official 5-question rCSI developed by WFP with standardized universal severity weights (1,2,1,3,1) for cross-context comparability - Automatic rCSI scoring (0-56): Calculates weighted score by multiplying frequency of each strategy by its universal severity weight and summing all five scores - Four-tier IPC categorization: Classifies households into Phase 1 (0-3), Phase 2 (4-18), Phase 3 (19-42), or Phase 4+ (43-56) corresponding to IPC acute food insecurity phases - Universal severity weighting: Applies standardized weights: less preferred foods (1), borrow food (2), limit portions (1), restrict adult consumption (3), reduce meals (1) - 7-day recall period: Uses standard 7-day recall window for consistency with global food security monitoring protocols and comparability across contexts - Behavior-based measurement: Captures actual household coping behaviors rather than perceptions, providing concrete evidence of food insecurity severity

'- 1. Multi-source Credit Tracking - Track each loan source separately - Collect interest rate, collateral, repayment period, and timeliness - 2. Credit Performance Scoring - Generates Credit Score per source - Weighted Total Credit Access Score per respondent

- Actor identification: Captures type of respondent (farmer, herder, cooperative, NGO, extension officer) - Repeatable incidents: Supports multiple incidents per community/farm - Incident date: Records date of each conflict incident - Conflict type: Captures type of tension/conflict (grazing, water, crop damage, etc.) - Severity rating: Multi-dimensional severity (1-5) - Frequency: Number of occurrences in the past 6 months

'- Enumerator and Device Traceability: Records enumerator name, device ID, and survey timestamps to support accountability and data auditing. - Farmer Identification and Spatial Mapping: Captures farmer details, region, and georeferenced field boundaries to link seed performance data to precise locations. - Multi-Variety Seed Assessment: Allows repeated assessment of multiple seed varieties per farmer, enabling side-by-side comparison across crops and plots. - Comprehensive Agronomic Data Capture: Records crop type, variety and brand, seeding rate, germination, yield, and stress tolerance indicators. - Photo-Based Field Verification: Includes field or plot photos to visually validate crop performance and support monitoring and reporting. - Automated Performance Scoring: Automatically classifies germination and yield and generates an overall performance score combining productivity and resilience traits.

'- Target users: Importers, Exporters, Commodity Traders, Economists - Relevance logic: Price & quality questions shown only when product type is available - Automatic calculations: Price difference and price ratio auto-computed - Shelf share indicators: Allows market dominance analysis - Comparative scoring: Quality and competitiveness rating scales - Multi-factor competitiveness analysis: Multi-select drivers with explanatory notes

'- Identifies access to agricultural loans among actors - Collects interest rates and collateral requirements - Captures loan sources and disbursement timeliness - Documents challenges in accessing credit - Compatible with Kobo/ODK for quick data collection and basic analysis

'- FANTA-validated methodology: Uses the official 3-question HHS developed by FANTA/FHI 360, validated for cross-cultural use across multiple countries - Automatic HHS scoring (0-6): Calculates score by recoding frequency responses (rarely/sometimes=1, often=2) and summing across three questions per FANTA specification - Three-tier WHO categorization: Classifies households into little/no hunger (0-1), moderate hunger (2-3), or severe hunger (4-6) using validated cutoff points - Frequency recoding: Combines "rarely" and "sometimes" responses into single category (value=1) as per validation research, with "often" scored as 2 - Skip logic implementation: Frequency questions only appear when respondent answers 'yes' to occurrence questions, reducing respondent burden - 30-day recall period: Uses standardized 4-week (30-day) recall period required for valid HHS measurement and cross-country comparability

- Target users: Government Agencies, Hospital Administrators, Procurement Officers - Multi-road repeat group: Allows multiple roads per submission - Maintenance urgency scoring: Poor condition + not passable = 0-2 score - Conditional follow-ups: Triggered if urgency_score ‚>1 - Road metadata: Road ID, region, condition, passability, maintenance needs - Key checks: Condition, passability, maintenance requirement

- Actor identification: Captures type of respondent (farmer, cooperative, union, NGO, extension officer) - Household / worker-level repeat: Records multiple individuals per farm for detailed tracking - Demographics: Age and gender of each individual - Debt status: Current debt of household/worker - Stress, anxiety, depression: Self-reported levels (1-5) per individual - Sleep quality: Self-reported rating (1-5)