One country
Is this market ready for the product as it is? Real users, eight weeks of usage, one go/no-go.
You get: a go / no-go
The field-data decision tool for international expansion
We recruit real users in your target market and get them using your product, for hours you can count. You decide on field data, not hope.
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Six questions, two minutes. Your answers stay in your browser until you choose to send them.
Answer to see your risk level
The expansions that go wrong tend to share the same two or three gaps. Yours are below, in your own words.
What brings you here?
What would you test?
of startups scale before they're ready, in the 2011 Startup Genome study of 3,200 startups. None of those passed 100,000 users.
Startup Genome, 2011of failed startups built something the market didn't need. 38% ran out of cash.
CB Insights, 2021An international launch is both risks at once. That's what we test first.
Four steps, typically 12 to 13 weeks, one decision.
A 30-minute call, then a one-page test plan: country, volunteer profile, panel size, and the bar that means “go”. You sign it off before anything starts.
We recruit volunteers in the target country through local communities, screened against your profile. You get the panel's make-up (ages, cities, habits), never their identities.
They use your product for eight weeks: long enough to see habit, not just curiosity. We track the hours, keep them engaged, and send you a short readout every week.
You get the report: what people did, what they said, and a go / adjust / stop reading. Then a call to walk through it.
Same method, three deliverables. Pick the decision you need to make.
Is this market ready for the product as it is? Real users, eight weeks of usage, one go/no-go.
You get: a go / no-go
Two to five countries, the same product, the same scorecard. Each market is rated and ranked. You get a deployment order with the reasons behind it.
You get: a ranked deployment order
Your product broken into its features, crossed with your target countries. What works as is, what needs adapting, what to leave out. Product analysis, with the market lens built in.
You get: an adaptation map per country
Founders who want their product to reach the people who need it most, whatever the border. Wellness and preventive health startups with a working product, Seed to Series C, based in Europe, North America or Asia, and about to enter a new market. And the investors backing them.
Not listed? Ask. You'll get a straight answer.
Olivier, founder and CEO. Third health venture, after Hub Senior in elder care and Missia Care in health AI. Twice, I had a product that worked at home and no honest way to know if it would work abroad.
Eldwin is founder-led today: one person, in-market recruiting for each test, and no agency layer in between. The person who scopes your test is the one who runs it.
People who live in your target country and have the problem your product addresses: the ones who would use it if it existed there. They are volunteers, recruited through local communities (patient groups, associations, online groups), not drawn from your network, so nobody is being polite. They are not paid. That is the point: with nothing to gain but the product itself, their usage is a real signal. They know which product they are testing.
A minimum of 20 qualified volunteers per country. What the plan commits to is that panel: who they are, how they are recruited, and how we support them through the eight weeks. Usage hours are measured and reported week by week. They are the result of the test, not a promise.
Typically 12 to 13 weeks end to end: one week to scope and sign off the plan, two to three weeks to recruit, eight weeks of usage, then the report. Eight weeks of usage is the minimum to see habit rather than curiosity. Comparing several countries runs on the same calendar, in parallel.
With volunteers, drop-off is a result, not a delivery failure. If people in that country stop using your product in week three, that is exactly what you need to know before launching, and the report says who left, when, and what they said. What Eldwin guarantees is the panel: at least 20 qualified volunteers per country, recruited and supported from the first day to the last. The hours they put in are measured, not promised.
Each tester gives explicit, informed consent for each test. Data is pseudonymised from day one: you receive usage data and the panel's make-up (ages, cities, habits), never identities. Every test is designed to run under GDPR rules for health data, with a data protection impact assessment and a processing agreement signed with you. The details are agreed in the one-page plan; our privacy notice sets out the rest.
Europe, North America and Asia-Pacific, plus Israel. The full list is in the Markets grid above. Tests run in both directions: a European product tested in Asia, or an Asian product tested in Europe. If your country isn't listed, ask: you'll get a straight answer.
A report with three parts: what people did (usage data over the eight weeks, retention, the features they came back to), what they said (structured feedback, in their words), and a reading: go, adjust or stop, with the reasons. For a multi-country test, the same report per country plus a ranked deployment order. Then a call to walk through it.
A market study tells you about the market. A panel tells you what people think in a one-hour session. A soft launch tells you what a user costs to acquire, not whether they stay. A market test tells you what people do with your product over eight weeks, in the country you're targeting. Market test vs panel · Market test vs soft launch.
No. A clinical trial measures medical safety and efficacy under regulatory supervision; a market test measures whether people in a given country adopt and keep using your product. The full comparison is here.
Thirty minutes on the market you're looking at, what you need to learn there, and whether a test makes sense now. If it doesn't, we say so. If it does, you receive a one-page test plan to sign off before anything starts.
Four pages that answer the questions this one raises.
Four validation methods compared: what each one tells you, what it cannot, and how to choose before you spend. 9 min read.
ReadBoth put real people in front of your product. They answer different questions, at different costs.
ReadWhich one does a wellness product actually need before expanding, and which one is overkill?
ReadLocal ads tell you what a user costs, not whether they stay. When a soft launch is the right next step, and when it comes too early.
ReadTell us the country. We'll scope a test in 30 minutes.