Link copied to clipboard
.jpg)
Most founders treat their first 100 users one of two ways. They either hold the number up like a trophy ("We have 100 users!") or they lead with an apology ("We only have 100 users, but..."). Either way, they're missing what those people actually are.
Your first 100 users aren't a proof point or a disclaimer. They're your earliest and most motivated research partners, and most founders don't know how to work with them.
The way you engage these users in the first few months will shape your product, your trust signals, and your growth trajectory. Here's how to make the most of them.
Early femtech users aren't average users. They sought you out. They tried an unproven product in a space where trust is already hard to earn, handed over intimate health data, and decided you were worth the risk. That's not typical user behavior.
That makes them advocates by nature. But it also makes them an unrepresentative sample if you're not paying attention.
Your first 100 users are more motivated, more forgiving, and more vocal than the people who will come after them. They often have a specific, urgent problem your product addresses: fertility tracking, perimenopause support, postpartum recovery, family coordination. They came to you because something in their life needed solving, and they were willing to try something new to solve it.
That urgency is a signal. It tells you what your product is actually for, which may be different from what you thought when you built it. The founder who pays attention to that gap will make better product decisions than the one who assumes their original hypothesis was right.
There's one more thing worth naming: these users gave you access to some of the most personal moments in their lives. The fact that their trust threshold was high enough to try you doesn't mean that trust is unconditional. It means you have a head start. What you do with it is up to you.
Knowing who your first 100 users are changes how you work with them.
Knowing who your first 100 users are is only half of it. The other half is knowing how to actually work with them.
Surveys have their place, but they won't tell you what you actually need to know at this stage. Get on calls. And when you do, ask about the moment before they found you, not just their experience inside the product. What were they searching for? What had they already tried? What made them decide to give you a shot?
In femtech especially, the context around usage matters as much as the usage itself. When are they using your product? Where? What else is happening in their life at that moment? A fertility tracker used at 6am before a partner wakes up tells a different story than one used during a lunch break. Those details shape everything from your notification timing to your onboarding tone.
Behavioral data will often contradict what users tell you in interviews, and both are useful. Where do they drop off? What do they skip? What do they do in an order you didn't expect?
In health and wellness products, silence is data too. Features users avoid can signal discomfort or distrust, not disinterest. If nobody is tapping on a particular input field, it might not be because they don't care about that information. It might be because asking for it at that moment felt wrong.
One survey after onboarding isn't enough. Create touchpoints at one week, one month, and at the moment a user becomes a regular. Each stage will surface something different. Early feedback tells you about first impressions and friction. Later feedback tells you about habit formation and what's actually keeping them around.
Some of your first 100 will naturally start using your product more deeply and more consistently than others. Pay attention to who they are. They're your power users, and they deserve a different kind of relationship, which is exactly what the next section is about.
Not all of your first 100 users will engage with your product the same way. A handful will use it more deeply, more consistently, and sometimes in ways you never anticipated. These are your power users, and they're worth paying close attention to.
You can usually spot them by a combination of signals: they show up in your usage data more often than others, they send unsolicited feedback, they refer friends without being asked, and they have opinions. Strong ones. They're not just using your product, they're invested in it.
When you identify them, treat them differently. Invite them into conversations that go beyond standard user research. Ask them what they wish the product did. Show them what you're building next and ask if it solves the right problem. Some of them may become informal advisors. That relationship is worth nurturing carefully.
But here's the important caveat: power users are invaluable, and they are not representative. They've already cleared every hurdle your product puts in front of new users. They've figured out the confusing parts, forgiven the rough edges, and built the product into their routine. The mainstream user you need to eventually win over hasn't done any of that yet.
So listen to your power users closely, involve them often, and hold their feedback in context. They can tell you how to make a great product even better. They're less equipped to tell you why someone who isn't already convinced should bother trying it, and that's okay. That's not what they're for. For that question, you need people who haven't already decided you're worth their time.
Your first 100 users built your foundation. But at some point, they stop being your primary research source, and knowing when that shift happens matters.
The signs are usually subtle. Your power users start asking for features that feel niche. Your feedback starts to feel circular, like you're hearing the same things from the same people. Your conversion rates aren't improving even though your engaged users love the product. That gap, between the people who are in and the people who won't commit, is your signal.
Widening your user pool in femtech means actively recruiting people who didn't seek you out. They're more skeptical, less forgiving, and less likely to push through friction. They're also much closer to the mainstream user you need to win over to grow.
This doesn't mean abandoning your early adopters or what you learned from them. It means holding that knowledge carefully and testing it against a broader range of experiences, comfort levels with technology, life stages, and relationships with their own health data. An assumption that felt solid at 100 users can quietly calcify into a product decision that alienates the next 10,000.
The founders who navigate this well are the ones who stay curious even after they think they know their user. Because the truth is, your user isn't a fixed thing. She evolves, and your research practice needs to evolve with her.
Your first 100 users are a goldmine, but only if you treat the relationship as a research partnership from day one. The founders who do this well don't just build better products. They build products that people actually trust.

.jpg)
