Client question 01

Entering a New Context

Independent field evidence for the decision to enter a new market, launch a new product line, or extend a working model into a new geography. The cost of being wrong is a scaling budget; the cost of being right is a scoping conversation.

The riskiest research a Lab partner commissions is the research that precedes a scaling decision. A product that works in one market can land differently in another. A promising segment can be a mirage of survivorship bias. A local partner can look aligned in a deck and misaligned in a working week.

Entering a New Context is the service for that decision. It reaches the people whose behaviour will decide the outcome and reports what they actually do, want, and can afford.


When this is the right service

Signals it fits
  • You have a working model in one country or city and are deciding whether to open a second.
  • A funder or board expects an evidence-based go/no-go before it releases scaling capital.
  • Early sales in the new market are ambiguous - real demand, or the founder's network?
  • The new market's regulatory, payment, or logistics stack differs enough that assumptions from home won't transfer.
  • You need to know who will and who won't adopt, in the segment terms the local reality actually uses.

What the study answers

Every entry study is scoped to a specific decision, but four questions recur.

Question 01 · Demand, real vs stated

Who says they want it, who has already tried to pay for it, and what the walk-away price actually is. Stated preference is unreliable in a new market; observed behaviour and revealed prices are the readable signal.

Question 02 · Segments the local reality uses

The customer segmentation from your home market usually breaks. New segments emerge along axes (income timing, informal-sector membership, mobile-money reach) that your existing personas don't see. We build the segmentation from the interviews, not from the deck.

Question 03 · The stack that carries adoption

Payment rails, distribution, after-sales, regulatory conditions, competing informal alternatives, trust intermediaries. Any one of them missing is enough to stall the launch. We map the stack in the field, from the user's side, so gaps show up before capital is committed.

Question 04 · Failure modes, named early

The specific ways this expansion is most likely to fail, ranked. A pre-mortem grounded in field evidence beats a launch that has to discover its failure modes in production.


How the study runs

The same five-stage method as every Lab engagement, compressed to a decision timeline:

  1. Scope. A short design conversation frames the exact go/no-go the study is meant to inform, the segments it must reach, and the evidence that would genuinely change the decision.
  2. Design. A mixed-method instrument, a short repeatable survey on demand and price, paired with in-depth interviews to reach the reasoning the numbers alone won't yield. Grounded in the interview guide.
  3. Collect. Local field researchers who speak the language and know the market reach respondents directly, with recorded, consented interviews. We do not parachute in.
  4. Analyse & benchmark. Reads against comparable data where it exists (e-mobility-adjacent for e-mobility, GOGLA-adjacent for off-grid, and so on) so a number carries its comparison. Failure modes named explicitly.
  5. Deliver. A decision-maker briefing, a segment-level read of where adoption is real and where it is fragile, and the instrument in a form that can be re-run for a second market or a second quarter.
Transition dynamics chart: six line series (Cost Competitiveness, User Adoption, Infrastructure Coverage, Policy Support, Social Acceptance, Incumbent Resistance) tracked across five market stages (Pre-entry, Pilot, Early Market Entry, Expansion, Scale), with milestone markers along the top.
Direction and speed, not just current state. A market-entry reading tracks how the six variables move together as a company crosses from pre-entry to scale.

Turnaround is measured in weeks. Where the answer is "not yet, and here's why," we say so; that is the value of asking an independent research team.


Where this shows up in the Lab's work

The best-documented public example is the mobility case study in Nairobi, where the question was exactly this shape: will the daily economics of an electric two-wheeler hold once the subsidy ends, and for which rider segments? The Before the Capital reading generalises the pattern across sectors where a European venture is weighing a new-market commitment. For the wider frame on why market entry into a low-state-capacity context succeeds or plateaus, see the Four Ways a Transition Lands matrix; for reading which incumbent barriers your entry actually engages, the BRW framework; and for the reliability question that decides e-mobility entry decisions, Who Absorbs the Gap.


Who this is for


Underlying methods in full: Research & Development Support and Market & Expansion Research. For the field method behind both, see Measuring Change. For how a study runs end to end, see How It Works. To start a conversation, see Contact.