Technology &
productivity
Firm capabilities, technology gaps, process efficiency and growth.
A firm is more than a balance sheet. It is a network of people, technology, demand, regulation and investment. We connect enterprise-level evidence with decisions that improve productivity, resilience and inclusive growth.
Explore the enterprise evidence lab ↓From individual business decisions to market-wide reforms: diagnostic research becomes practical choices for firms, policymakers and development partners.
We look beyond individual indicators. Market performance emerges from interconnected incentives, business capabilities, institutions and the lived experiences of workers and entrepreneurs.
Firm capabilities, technology gaps, process efficiency and growth.
Energy costs, environmental risk and sustainable industry.
Worker wellbeing, service markets, retention and firm performance.
Regulatory friction, investor confidence and transaction costs.
Market linkages, innovation, commercialization and livelihoods.
A manufacturing economy cannot close its productivity gap without measuring the technologies firms actually use and understanding the barriers to adoption.
Synthetic teaching scenario. No client result is asserted.
Illustrative analytical applicationExplore how pricing, demand response, unit costs and productivity interact. This is a transparent demonstration of enterprise unit economics—not a forecast or an estimate from IP3 assignments.
At 1,138 modelled units per month
Profit / sales revenue
Fixed costs / contribution per unit
Price − productivity-adjusted unit cost
Transparent assumptions: Baseline price $120, baseline monthly demand 1,200 units, fixed operating costs $29,000/month. Modelled demand = 1,200 × (price / 120)−elasticity. Effective unit variable cost = selected cost / (1 + productivity improvement). Profit = (price − effective unit cost) × modelled demand − fixed costs. Constant elasticity and linear costs are simplifications; real markets require validated data and constraints.
Evidence boundary: These hypothetical applications illustrate analytical methods. Proposed actions and simulator metrics are illustrative, not measured outcomes.
Better business decisions depend on how accurately we understand customers, firm constraints, operating costs and market rules—and how rigorously we test the path from diagnosis to action.
All cases describe hypothetical applications. No completed engagement, client endorsement or empirical outcome is asserted. The unit-economics model is a teaching scenario; it does not use real company information or make investment recommendations.