Early Traction Looks Like 3 Wins and 47 Problems. Here's Why That's Actually On Track.

The first win feels fake

When we got our first enterprise customer at Finvestfx, I remember refreshing the dashboard like I was waiting for exam results. The deal closed. The contract was signed. We had real money coming in.

And my first thought was: "They're going to figure out we're not ready for this."

That's the thing nobody tells you about early traction. It doesn't feel validating. It feels terrifying. Because now you have something to lose.

At Sonic Linker, we shipped our core AI product in 3 months. Fast, right? Except in those 3 months, I watched our alpha users hit edge cases we never anticipated, ask for workflows we hadn't considered, and break things in ways that made me question if we understood the problem at all.

We had users. We had engagement. We had people telling us this solved a real pain point. But every morning felt like damage control.

That's early traction. It's not a smooth upward curve. It's 3 customers who love you and 12 support tickets that suggest your product is held together with duct tape.

What the metrics don't capture

Here's what traction looked like at Finvestfx when I joined: 20+ enterprise clients, solid retention numbers, real revenue.

Here's what it felt like: every client had a slightly different workflow. Every onboarding call surfaced a new assumption we'd gotten wrong. Every feature request was actually three different problems disguised as one ask.

I spent my first month there just trying to understand why our best customers were also our most frustrated. Turns out, they loved the product enough to push it to its limits. That friction wasn't a sign we were failing. It was a sign we had something worth fighting for.

But if I'd only looked at our retention curve, I would've missed that entirely.

The same thing happened at Sonic Linker. We'd look at our usage data and see people coming back. Great, right? Except when I actually talked to them, they'd say things like "I use it because nothing else does this, but I have to work around [X] every single time."

That's traction too. Painful, messy, specific traction.

Most PMs I know obsess over activation rates and retention curves. I did too. But early traction isn't visible in those charts yet. It's in the Slack messages from users at 11 PM asking if you can hop on a call. It's in the feature requests that all point to the same underlying job-to-be-done. It's in the customers who stick around even when your product breaks, because the alternative is worse.

The hardest part is not panicking

At NJ Group, I coached 60 insurance advisors and IFAs on product adoption. These weren't early adopters. They were skeptical, busy, and had zero patience for tools that didn't immediately work.

I thought traction would look like fast adoption across the board. Instead, it looked like 8 advisors who *got it* immediately and started referring others. The rest needed hand-holding, custom walkthroughs, and constant reassurance.

I could've looked at that 13% adoption rate and panicked. But those 8 advisors were generating real results. They were changing their workflows. They were vocal about what worked and what didn't. That signal mattered more than the overall conversion rate.

Early traction is lumpy. You'll have a handful of users who treat your product like it's critical infrastructure, and a long tail of people who signed up and forgot about it. Your job isn't to optimize for everyone yet. It's to understand why those early believers care, and double down on that.

At Sonic Linker, we had users who would spend 30 minutes in the app daily, and users who'd log in once and never come back. The temptation is to chase the drop-offs. But I learned more from the daily users. What were they trying to accomplish? What workarounds had they built? What would make them tell their colleagues?

Those questions don't show up in a retention dashboard. You have to go find them.

What actually matters

If you're building something early-stage, here's what I'd tell you to look for:

Users who complain with specificity. Vague feedback like "this is cool" means nothing. But "I tried to do [X] and it broke because [Y]" means they cared enough to figure out why it failed.

Retention that clusters around specific use cases. At Finvestfx, our best clients weren't using every feature. They were using 2-3 core workflows obsessively. That's your signal.

Referrals that happen without you asking. We didn't have a formal referral program at Sonic Linker. But our early users would tag their colleagues in feature requests or forward our updates. That's traction you can't fake.

Early traction feels like chaos because it is. You're learning in real time. Your users are teaching you what your product actually does, which is almost never what you thought it would do.

The companies that survive this phase aren't the ones with the cleanest metrics. They're the ones that stay close enough to users to know which chaos signals matter, and which ones are just noise.

That's the gap. Traction looks like a number going up. But it feels like trying to build a plane while it's already in the air. And if it doesn't feel that way, you're probably not close enough to the problem yet.