How to Get Your First 10 Users for a New Product

The first users should have the problem the product was built to solve and enough motivation to try an early version. They do not need to represent the whole future market. They need to create useful evidence.

Count someone as a user only after they attempt a meaningful task in the product. An interview or watched sample-job test can produce valuable research, but it is not the same as independent use. After a guided test, invite the person to try the next real task without coaching and track those stages separately.

Write a short description of the person or organization, the situation that triggers the need, and the result they want. Together, those details form an early ideal customer profile (ICP): a working picture of who is most likely to need and benefit from the product. Treat it as a hypothesis to refine with real users, then use it to guide outreach, landing-page copy, onboarding, and the questions you ask after use.^[1]

Use market research to choose one place where relevant people already gather or one relationship path you can work consistently. As an early operating choice, concentrate on that path long enough to learn whether it works. Direct outreach, a focused community, existing professional relationships, or a narrow piece of useful content can each fit a different audience.^[2]

The builder might ask two remodelers they already know for introductions, then get permission to share a focused request with one local trade group where relevant members can opt in. If six reply and four try the workflow, the builder has something concrete to examine. Posting the same generic launch message across five large networks may produce more impressions and less useful learning.

A visitor should understand who the product is for, what it helps them do, and what happens after they begin. Replace broad claims with a concrete task and result. If important limitations exist, state them before a user commits time or information.^[6]

The message should match the current product. Early users will tolerate missing features more readily than a mismatch between the promise and the experience.

Onboarding should lead to value quickly. Ask only for information needed to complete the first task. Explain unusual requests near the point where they appear. When a workflow is longer than a few steps, preserve useful progress without retaining sensitive information longer than necessary, and make it easy to start over.^[3]

Review the product on mobile and other small screens, and test it with a keyboard so the first useful action is not blocked by the interface.

Test under slower connections too. Web performance varies with device and network conditions, and field measurements are needed to capture the experience people actually receive.^[4]

Track the sequence from arrival to the first meaningful result. Page views alone cannot explain whether the product worked. Measures of adoption, engagement, retention, and task success can connect product goals to observable behavior.^[5]

Add direct feedback and time-to-value measures when they help answer the specific product question you are testing.

Pair simple event data with conversations. Analytics can show where people stop. A conversation can reveal whether the cause was confusion, lack of trust, poor timing, or a problem that was not important enough.

If twelve remodelers open the link, eight upload notes, and two finish an estimate, the builder knows where to look. A conversation might reveal that the upload instructions were unclear, or that the estimate format did not match how clients expect to see the work. The numbers locate the break. The people explain it.

Match the analytics tool to the question. GoatCounter can be a lightweight way to count page visits and selected click events. Google Analytics supports a broader event model for interactions such as signups, searches, and completed actions.^{[7][8][9][10]}

If relevant people arrive but do not complete the workflow, improve the product or its explanation before increasing traffic. If they complete it once but do not return, study whether the need repeats and whether the result was strong enough. If the right people cannot be reached, revisit the audience or distribution path.

More attention magnifies the current experience. It does not repair it.

A launch becomes useful when it starts a repeatable loop: release one coherent version, invite a manageable group of relevant users, watch them attempt the core task, and choose the next change from what actually happened. Keep each cycle narrow enough that the evidence still maps to the version people used.

Avoid changing the audience, message, onboarding, and workflow all at once. When several inputs move together, it becomes harder to know what improved the result. Record who was invited, which version they used, what they did, and the decision that followed.

When the evidence supports reaching more people, the in-depth product scaling guide explains how to strengthen the company, distribution, support, and operations without growing faster than the product can carry.

Reaching real users can change the pattern visible in your work. You can take the 90-second Powdr assessment to see where your work fits today.