Context Is Not a Variable. It Is the Model.

## The context problem in strategy

Most strategy frameworks were developed to describe business environments in Western, formal-economy, institutional-trust contexts. They are applied to African markets with some surface-level adjustments — "localise the product", "account for infrastructure gaps" — while leaving the underlying logic intact.

The result is strategy advice that is technically coherent and practically useless.

## What context actually changes

**Trust architecture**: In markets where institutional trust is low, the locus of trust shifts to personal relationships, community leaders, and peer networks. This changes how products are adopted, how distribution works, and how marketing actually functions. A brand that works by building institutional credibility in one context needs to build peer credibility in another.

**Decision-making authority**: Who makes economic decisions in a household, a community, or an organisation varies significantly by context. A B2C go-to-market strategy that assumes individual decision-making will miss the role of family councils, community elders, or informal group dynamics in actual purchase decisions.

**Time orientation**: Long-term planning in uncertain environments looks different from long-term planning in stable ones. The planning horizons, the risk tolerance, and the expected relationship between effort and outcome are all shaped by structural factors that strategy frameworks typically treat as fixed.

**Language and communication**: What a product or service is called, how it is explained, and who explains it matters enormously in market adoption — especially in linguistically diverse African markets where the relationship between formal communication and vernacular understanding shapes whether a concept lands.

## The analytical discipline this requires

Context-aware analysis requires a different first step. Before applying any analytical framework, ask: does the fundamental logic of this framework hold in this specific context? Not "does it need adjusting" but "does the core mechanism actually operate here?"

For market sizing: does formal GDP data capture the market I am trying to size, or does it systematically exclude the informal economy where most of my customers live?

For competitive analysis: do the formal competitors I can see represent the full competitive set, or is there informal competition — substitute behaviours, informal service providers, community-based alternatives — that I am not seeing?

For customer segmentation: are the demographic segments I am using capturing meaningful behavioural differences, or are they proxy variables that work in data-rich contexts but obscure the actual variance in this market?

These questions do not make analysis harder. They make it more honest. And more useful.