Why Software Founders Fail at Product Market Fit Signals

Fexingo (0:01)

So, here is the thing about first time software founders.

They almost always mistake motion for progress. They launch, they get 10 signups, and suddenly they feel like a CEO. But if you look at the data, those 10 people are mostly friends or colleagues who signed up out of politeness.

Luna (0:19)

Right. And then they spend the next six months building features nobody asked for because they don't know what real demand looks like yet.

Fexingo (0:27)

Exactly. And the worst part is they think they are failing because the product isn't good enough when really, they just haven't found the signal in the noise. We saw this with a founder named David who built a project management tool for creative agencies back in early 2024

He thought he had product market fit because his churn was low, but it wasn't.

Luna (0:48)

Why do you say he didn't have product market fit if his churn was low?

Fexingo (0:53)

Because his active users were stagnant.

He had 50 customers, and 40 of them were using less than 5 percent of the features. They weren't churning because they hadn't figured out how to use it yet, not because they loved it. That is a classic trap. You wait too long to realize your product is a nice to have instead of a must have.

Luna (1:15)

So how do you distinguish between a user who is confused and a user who doesn't care?

Fexingo (1:20)

You stop looking at aggregate numbers and start looking at behavioral patterns.

If you go back to David's story, he eventually did some deep dive interviews. He found that the only users staying were the ones who used one specific feature daily. The rest were just dabbling. That single feature became his entire value proposition after he stripped away everything else.

Luna (1:44)

That sounds like a painful amount of work for someone who just wanted to build software.

Fexingo (1:49)

It is painful, but it is necessary. Most founders skip this because they want to scale.

They want to hire a sales team and run ads. But if you don't have the signal, scaling just amplifies your mistakes. It is much cheaper to fix the core value proposition with 10 users than to fix it with 10,000.

Luna (2:09)

I guess that means the early stage is really about validation, not execution.

Fexingo (2:15)

Precisely. Execution comes later. For now, you are just trying to prove that people will pay for the solution.

And, paying is a different signal than just signing up. Free trials are easy to sign up for. Paid subscriptions require intent.

Luna (2:32)

So paid conversions are the true North Star metric for product market fit?

Fexingo (2:37)

For early stage, yes. But even then, you have to look at why they paid. Did they pay because they needed it or because they were afraid to lose access? There is a subtle difference.

The latter leads to high churn once the initial urgency fades.

Luna (2:53)

That makes sense. Fear-based adoption is not sustainable.

Fexingo (2:58)

Right. So let's talk about the donation segment. If these conversations are useful for what you're building or running, we deliberately don't run ads on these shows. If you want to support that choice, the link is buymeacoffee.com/fexingo.

Luna (3:14)

Yeah, it really helps keep the production quality high without compromising our editorial independence.

Fexingo (3:21)

And it allows us to take the time to dig in to these specific cases rather than rushing through headlines. Back to David's story.

Once he identified that one core feature, he stopped adding new things. He focused entirely on making that one thing better.

Luna (3:38)

Did he see an immediate improvement in his metrics after that pivot?

Fexingo (3:42)

Not immediately. Took about 3 months. But once he did, his weekly active user rate jumped by 40%.

More importantly, the referrals started coming in organically. Users were telling other users about that specific feature. That is a strong signal that you have found something valuable.

Luna (4:03)

So, organic referral is another key indicator alongside paid conversion?

Fexingo (4:08)

Yes. Word of mouth is hard to fake. If people are talking about your product to their peers, it means you have solved a real problem. It is not just a transaction.

It is a recommendation.

Luna (4:21)

I think many founders miss that because they are so focused on acquiring new customers.

Fexingo (4:27)

They are. They treat acquisition as the only goal.

But retention and referrals are usually the result of a great product experience. You cannot hack your way into word of mouth. You have to earn it.

Luna (4:41)

That brings up a good point about feedback loops. How should founders collect this kind of qualitative data?