Inclusive Business Development Training Course

Participants can prioritise inclusive business opportunities using structured market and feasibility criteria.

• PESTLE analysis focused on policy, infrastructure and household constraints
• Market actor mapping for buyers, suppliers, intermediaries and regulators
• Value-chain analysis identifies bottlenecks, margins and exclusion points
• Opportunity screening matrix weights demand, feasibility, impact and risk
• Seasonality mapping captures income cycles, shocks and purchasing windows
• Problem statements framed around specific users, jobs and constraints

Participants can plan and conduct ethical customer discovery for low-income market segments.

• Research questions distinguish stated preferences from observed customer behaviour
• Semi-structured interview guides probe needs, workarounds and decision criteria
• Observation protocols reveal service barriers and informal purchasing practices
• Sampling plans cover gender, geography, income sources and user roles
• Consent, confidentiality and safeguarding procedures protect research participants
• Interview synthesis converts quotations and observations into evidence themes

Participants can define priority segments and map the barriers shaping their decisions.

• Behavioural segmentation groups customers by needs, constraints and purchase patterns
• Personas combine demographic, economic, behavioural and contextual evidence
• Customer journey maps trace awareness, evaluation, purchase, use and renewal
• Barrier analysis separates affordability, access, trust, capability and norms
• Household decision mapping identifies influencers, gatekeepers and final users
• Segment attractiveness scores size, reachability, willingness and strategic fit

Participants can create and test value propositions that address priority customer constraints.

• Jobs, pains and gains structure the Value Proposition Canvas
• Problem-solution fit tests whether proposed benefits address priority barriers
• Service features translate into functional, financial and social customer value
• Trust signals include endorsements, demonstrations, warranties and transparent terms
• Accessible design considers language, literacy, disability and digital capability
• Concept statements specify user, problem, offer, benefit and proof

Participants can assemble an inclusive business model with coherent customer, operating and revenue logic.

• Business Model Canvas links customer segments, channels and revenue streams
• Key activities define delivery, quality control, acquisition and after-sales support
• Resource mapping identifies capabilities, assets, data and working capital
• Channel choices compare direct sales, agents, retailers and digital platforms
• Revenue mechanisms include sales, subscriptions, commissions and pay-per-use
• Assumption registers record uncertainties requiring validation before investment

Participants can develop pricing and unit-economics assumptions suitable for low-income markets.

• Affordability analysis compares household cash flow with payment obligations
• Willingness-to-pay research distinguishes preference from actual purchase capacity
• Cost-to-serve calculations include acquisition, delivery, support and attrition
• Contribution margin estimates profitability by customer, product and channel
• Break-even analysis tests required sales volume and fixed-cost coverage
• Payment options include instalments, subscriptions, bundles and seasonal schedules

Participants can select responsible payment and financing approaches for target customers.

• Cash, credit, leasing and pay-as-you-go models compared
• Credit suitability screens repayment capacity, volatility and over-indebtedness risks
• Digital payment journeys identify registration, transaction and trust barriers
• Consumer protection principles cover disclosure, complaints and fair treatment
• Partnership options include banks, microfinance institutions and mobile money providers
• Default management balances collections discipline with customer dignity

Participants can design distribution approaches that reach underserved customers at sustainable cost.

• Last-mile channel mapping identifies reach, incentives and service gaps
• Agent network design covers recruitment, training, commissions and supervision
• Retailer assessment examines footfall, assortment, credit and geographic coverage
• Route-to-market plans sequence territories, channel partners and inventory flows
• After-sales service models protect customer outcomes and repeat demand
• Channel performance dashboards track conversion, stock-outs, retention and complaints

Participants can structure inclusive supplier and producer relationships with fair commercial incentives.

• Supplier segmentation distinguishes smallholders, cooperatives, traders and aggregators
• Procurement specifications balance quality requirements with supplier accessibility
• Aggregation models reduce transaction costs for dispersed small-scale producers
• Contract farming terms address price, quality, delivery and dispute resolution
• Traceability systems record origin, volumes, quality and payment status
• Supplier development plans combine training, inputs, finance and market access

Participants can identify, assess and engage partners needed to deliver an inclusive business model.

• Stakeholder mapping ranks influence, interest, incentives and potential resistance
• Partner due diligence assesses mission fit, capacity, governance and reputation
• Partnership value propositions define mutual benefits and contribution commitments
• RACI matrices clarify decision rights, accountability and operational responsibilities
• Memorandum of understanding terms cover scope, data, funding and exit
• Negotiation preparation identifies interests, alternatives and non-negotiable conditions

Participants can incorporate equity, safeguarding and customer protection into business design decisions.

• Gender analysis identifies unequal roles, assets, mobility and decision power
• Disability inclusion checks physical, communication and digital access barriers
• Do-no-harm assessment identifies foreseeable economic, social and protection risks
• Safeguarding protocols define reporting routes, conduct standards and escalation
• Data protection practices address consent, minimisation, storage and access
• Inclusive metrics disaggregate reach, use, outcomes and complaints data

Participants can design a pilot that tests critical assumptions before wider rollout.

• Minimum viable offer defines the smallest testable customer proposition
• Hypothesis statements specify assumptions, evidence thresholds and decision rules
• Pilot scopes set target segments, locations, duration and resource limits
• Experiment design compares channels, prices, messages or service features
• Learning agendas prioritise assumptions with highest uncertainty and consequence
• Pivot, persevere or stop decisions follow predefined evidence criteria

Participants can build a measurement plan linking business performance to inclusion outcomes.

• Theory of Change connects activities, outputs, outcomes and assumptions
• DCED Standard principles structure credible results measurement systems
• Indicator selection balances decision usefulness, feasibility and data quality
• Baseline design establishes reference values before pilot or rollout
• Customer outcome measures cover income, savings, access and resilience
• Data collection plans define sources, frequency, ownership and verification

Participants can prepare an implementation roadmap that manages operational risks and scale decisions.

• Work breakdown structures convert business model components into deliverable tasks
• Milestone plans sequence validation, launch, operational stabilisation and expansion
• Risk registers assess probability, impact, ownership and mitigation actions
• Scenario planning tests shocks to demand, costs, policy and supply
• Scale readiness criteria assess repeatability, capacity, capital and partner readiness
• Governance arrangements define review forums, escalation routes and decision cadence

Participants can prepare a clear evidence-based case for internal approval, partners or funders.

• Business case structure links problem, customer evidence, model and financials
• Funding strategies compare grants, debt, equity and blended finance
• Financial projections state volume, pricing, cost and capital assumptions
• Sensitivity analysis tests exposure to major commercial and operational variables
• Pitch decks communicate customer value, traction, risks and funding needs
• Decision memos present recommendations, evidence gaps and next actions

Participants can build, review and present a complete inclusive business development plan for a selected opportunity.

• Customer evidence synthesised into priority segment and problem definition
• Value proposition and Business Model Canvas assembled into coherent model
• Pricing, unit economics and payment assumptions tested for feasibility
• Distribution, supply-chain and partnership choices aligned with operating constraints
• Theory of Change and DCED indicators linked to pilot decisions
• Implementation roadmap specifies milestones, risks, governance and resource needs
• Peer review tests logic, evidence quality, inclusion safeguards and clarity
• Final presentation defends recommendations, assumptions and immediate next steps