Agricultural Market Research and Feasibility Training Course

Participants can prepare a decision-focused research brief for an agricultural feasibility study.

• Decision trees linking research findings to investment choices
• Problem statements separating symptoms, causes and information gaps
• Research questions structured around demand, supply, prices and margins
• Assumption registers documenting unknowns, sources and validation priorities
• Stakeholder maps covering producers, buyers, regulators and service providers
• Terms of reference specifying outputs, methods, timeline and responsibilities

Participants can map a commodity value chain and identify commercially material constraints.

• Value chain mapping from input supply to final consumption
• Functional analysis of production, aggregation, processing, distribution and retail
• Actor incentives, bargaining power and information asymmetry
• Product, financial and information flows within commodity chains
• Margin analysis across farmers, traders, processors and retailers
• Supporting functions: finance, extension, logistics, standards and insurance

Participants can identify priority customer segments and specify their purchase requirements.

• Segmentation by customer type, location, income and use occasion
• Business-to-business buyer profiles for processors, wholesalers and retailers
• Institutional demand from schools, hospitals, hotels and relief programmes
• Customer buying criteria: volume, quality, packaging, timing and payment
• Jobs-to-be-Done interviews for agricultural product and service demand
• Prioritising segments using attractiveness, access and strategic fit

Participants can estimate agricultural market size using credible secondary-data sources and assumptions.

• Secondary sources: ministries, customs records, market bulletins and industry reports
• Data-quality checks for definitions, coverage, dates and measurement units
• Top-down demand estimation using population, consumption and expenditure data
• Bottom-up market sizing from buyer volumes and outlet counts
• TAM, SAM and SOM estimates for agricultural products
• Triangulating contradictory production, trade and consumption statistics

Participants can design field research that produces reliable evidence from agricultural market actors.

• Sampling frames for farmers, traders, buyers and input suppliers
• Purposive, quota and random sampling choices for field research
• Semi-structured interview guides for commercial market participants
• Survey questions measuring volumes, prices, preferences and purchasing frequency
• Focus group protocols for producer constraints and service demand
• Informed consent, respondent protection and responsible data handling

Participants can organise, analyse and interpret field data for market feasibility decisions.

• Enumerator briefing, piloting and daily quality-control procedures
• Mobile data collection workflows using KoboToolbox forms and validation rules
• Cleaning datasets: duplicates, missing values, outliers and unit conversions
• Cross-tabulation by location, customer segment, gender and farm scale
• Median, range and weighted averages for agricultural price analysis
• Qualitative coding of interviews using themes, evidence and respondent quotes

Participants can assess competitive conditions, supply availability and seasonal price behaviour.

• Competitor profiling by product range, capacity, channels and pricing
• Porter's Five Forces for agricultural market entry decisions
• Seasonal calendars linking harvest volumes, demand peaks and prices
• Farm-gate, wholesale and retail price series analysis
• Import parity and export parity price calculations
• Competitor response scenarios following new capacity or market entry

Participants can define market-ready product specifications and practical market-entry requirements.

• Product specifications covering grade, moisture, size, safety and packaging
• Buyer acceptance criteria for fresh, processed and animal-source products
• Post-harvest loss measurement at handling, storage and transport stages
• Traceability requirements for lot identification and supplier records
• Market-access barriers: permits, standards, certifications and buyer approval
• Route-to-market options through direct sales, agents and distributors

Participants can test whether production, processing and logistics assumptions are technically achievable.

• Enterprise production models for crops, livestock and aquaculture
• Yield assumptions based on local practice, trials and extension data
• Input requirements: seed, feed, fertiliser, labour and veterinary services
• Land suitability, water availability and irrigation reliability assessment
• Processing capacity calculations using throughput, downtime and recovery rates
• Logistics design for collection, cold chain, storage and delivery

Participants can prepare enterprise budgets and calculate unit-level profitability for agricultural ventures.

• Enterprise budgets separating variable, fixed and semi-variable costs
• Costing production inputs, hired labour, machinery and transport
• Capital expenditure schedules for equipment, buildings and infrastructure
• Depreciation methods and replacement assumptions for fixed assets
• Gross margin analysis by crop, livestock unit or product line
• Contribution margin per kilogram, litre, animal or sales unit

Participants can build a feasibility financial model and assess investment returns.

• Integrated assumptions sheet for volumes, prices, costs and timing
• Monthly revenue forecasts reflecting production cycles and sales terms
• Working-capital schedules for inventory, receivables and supplier credit
• Cash-flow statements linking operating, investing and financing activities
• NPV, IRR, payback period and discount-rate calculations
• Break-even analysis for volume, price and capacity utilisation

Participants can assess funding needs and identify bankability requirements for agricultural ventures.

• Financing gap analysis across establishment, production and growth phases
• Debt, equity, grants and blended-finance funding characteristics
• Loan repayment schedules matched to seasonal cash-generation patterns
• Debt-service coverage ratio and lender covenant interpretation
• Collateral, guarantees and warehouse-receipt financing considerations
• Investor information requirements for agricultural business proposals

Participants can identify, rate and treat material agricultural feasibility risks.

• Risk registers covering market, production, finance, operations and governance
• Probability-impact matrices with risk owners and treatment actions
• Climate-risk screening for drought, flooding, heat and pests
• Scenario analysis for yield shocks, price declines and delayed sales
• Environmental and social screening for land, water and labour impacts
• Mitigation measures, contingency triggers and residual-risk assessment

Participants can convert feasibility findings into a justified recommendation and implementation plan.

• Go, revise, defer or reject decision criteria
• Recommendation logic linking evidence, assumptions, risks and conditions
• Phased implementation plans for pilot, scale-up and commercial operation
• Milestones for buyer agreements, permits, finance and infrastructure
• Results frameworks tracking sales, margins, farmer participation and jobs
• Feasibility-report structure for investors, boards and development funders

Participants can build, review and present a complete agricultural market feasibility study for a defined venture.

• Research evidence assembled into a coherent agricultural market assessment
• Value-chain findings translated into commercial opportunity and constraint analysis
• Enterprise budget and cash-flow model tested against key assumptions
• Risk register aligned with mitigation actions and investment conditions
• Feasibility recommendation supported by financial and market evidence
• Investment presentation structured for management, funder or lender review