Field reading, Market entry
What a European mobility venture learns before committing to a new market, and how field evidence turns a hopeful expansion into a reasoned one.
A product that works in one place does not automatically work in another; the cheapest way to learn why is before the capital is committed, not after.
A European hardware venture, its technology proven at home, is preparing to enter an East African market on a plausible story: the need is there, the product is superior, adoption should follow. The board is ready to commit significant capital to a launch, and general market data supports the size of the opportunity.
The risk in that story is the risk this whole service exists to surface. "The need is there" and "people will adopt this" are different claims, and the gap between them is where expansion budgets are lost. General market data can describe the size of the opportunity. It cannot answer the question that actually decides the launch: how will people in this specific context use, or fail to use, this specific thing?
The pattern is not confined to mobility. It shows up in off-grid solar ventures whose repayment models were built for a different income rhythm; in cold-chain logistics designed around a distribution density that does not exist locally; in productivity software that assumed personal devices where the phone is shared. The specifics differ; the shape of the mistake is remarkably stable.
What a user actually optimises for is rarely what the product was designed around. A venture may compete on a feature it considers decisive, while the local user is quietly deciding on something else entirely, a running cost, a repair network, a trust relationship, a financing structure. The first job of the study is to find the real metric, not the assumed one. In electric two-wheeler adoption in Kenya, for instance, the mobility engagement showed that the decisive variable was not range or top speed but the daily cash-flow arithmetic of a boda-boda rider on thin margins.
Entering an occupied market means asking people to leave something they already use. The full switching cost, financial, habitual, infrastructural, is what stands between interest and adoption, and it is routinely underestimated from a headquarters far away. For a rider on a working motorcycle, switching to a new vehicle carries a risk to daily income; for a farmer with a working input supplier, switching means renegotiating a relationship built over years. The switching cost is where good ventures die quietly.
A product does not arrive alone. It arrives through a distribution channel, on a payment rail, into a regulatory environment, alongside competing informal alternatives, past a trust intermediary. Any one of these missing is enough to stall the launch. The Insight on state capacity and niche success frames the pattern: a niche technology in a low-state-capacity setting can leapfrog only as far as the infrastructure the state has not built forbids. Reading the stack in the field, from the user's side, is what surfaces these constraints before capital is committed to work around them.
An expansion that reaches only the top of a market may still fail its own business case, and will certainly fail any impact claim attached to it. Reading who is included and who is excluded, from the start, is both an equity question and a commercial one. It also decides which failure modes the launch will face: a top-tier-only strategy runs into ceiling risk (the market saturates faster than expected); a mass-market strategy runs into distribution risk (the last-mile economics do not work). Naming which risk the strategy is actually taking is the first honest step.
Trained local field researchers put into the actual market, reaching real prospective users in their own language and context, over four to six weeks. Interviews with 40–80 prospective users across the segments the venture intends to serve, structured around observed behaviour rather than stated preference. Agent- and distributor-network mapping in two or three focal locations. A short repeatable survey, in the local language, that captures walk-away price and stated intent alongside the behavioural read from the interviews. Regulatory and payments-stack review, done from the user's side.
The venture's own strategy is read through the BRW framework to locate the real barriers the entry will engage: which incumbent barriers it bypasses, which it repurposes, which it tries to weaken. That reading tells the study team where to look for the strongest and weakest points, before the field work begins.
Not a reassuring slide deck. An honest reading of where adoption would hold, where it would stall, and what specifically would have to change, financing structure, service network, price point, distribution partner, for the launch to succeed. Failure modes named and ranked. Segments the venture assumed exist that do not, and segments that emerged from the fieldwork that the venture had not seen. A ranked list of decisions the board would need to revisit, alongside a plain "not yet, and here is why" verdict where the field evidence does not support the launch as designed.
In a market-entry decision, that honesty is the entire value: it is far cheaper to learn the hard truth from a field study than from a failed launch.
Context Entry is a specific application of the Lab's whole method: start from the people, find the real optimisation metric, read the switching cost, map the stack, measure who is reached, name the failure modes. The same discipline that evaluates a completed programme, applied before a decision instead of after, becomes the most valuable evidence a venture can buy, because it changes a decision while the decision is still open.
For the named field engagement that best shows this in practice, see the mobility case study. For the wider pattern that decides bounded-leapfrog outcomes, see Four Ways a Transition Lands and Who Absorbs the Gap.
This is an illustrative composite of the Lab's Market & Expansion Research practice, drawn from the pattern of Context Entry work rather than a single named client. For the full service, see Entering a New Context. To discuss a study for your own expansion, see Contact.
