The Feature Factory Is a Symptom, Not the Disease

I've watched teams get labeled as a "feature factory." Like they were incompetent. Like they didn't know how to prioritize.

Then I looked at their incentive structure.

They ship features nobody uses because that's what gets them promoted.

How The System Creates The Problem

Here's how a feature factory actually starts:

Your CEO says: "We need to ship more. Competitors are shipping faster."

So you measure: features shipped per quarter. That becomes the KPI.

Teams figure out what moves the needle on the KPI: shipping more features.

So they do. Fast, loose, minimal quality. Ship it, move to the next one.

Now every team sees that shipping features = career advancement. Building the right features = work no one measures.

So smart people optimize. They ship features. Lots of them.

The features don't matter? That's not in the metric. Shipped is shipped.

Six months later, your product is full of features nobody uses. Your NPS is dropping. Your churn is up.

Leadership sees this and says: "Our teams are bad at product prioritization."

Wrong. Your teams are great at reading what you're incentivizing.

The Real Diagnosis

The feature factory isn't a planning problem or a skill problem. It's a compensation problem.

Show me a team that ships a ton of unused features and I'll show you a system that rewards output over outcomes.

The team isn't broken. The feedback loop is broken.

I consulted with a company that shipped 47 features in a year. Revenue went down. Churn went up. Product team was devastated.

I asked: "How are people measured?"

"Features shipped, velocity, roadmap accuracy."

None of those measure whether the feature mattered.

So the team was being punished for building the wrong things, but their entire incentive structure rewarded building more things, regardless of value.

Of course they were miserable. They were being asked to optimize for something they were explicitly rewarded against.

The Pattern I See Everywhere

Company A: Ships 30 features/year. Most are used. Churn is stable. Team seems slow but product is healthy.

Company B: Ships 80 features/year. 60% are unused. Churn is rising. Team seems productive but product is dying.

Leadership compares them and thinks: "Company B is more aggressive. That's good execution."

Wrong. Company B is more desperate. The incentive structure is more broken.

Watch what happens:

Company B's CEO sees the churn and panics. "We need to ship even more features! Maybe volume will solve this."

Hires more people. Ships more features. Churn gets worse. Team is burning out because they're shipping features that don't matter.

Starts looking for productivity problems. "Why can't we ship faster?"

It's never that they're shipping the wrong things. It's always that engineering is too slow.

So they add Agile coaches. Add standups. Reduce code review. Reduce testing. Reduce discovery.

Churn accelerates. Team leaves. Product is in free fall.

But it looks like a "productivity problem" that needs an operational solution.

What The Feature Factory Actually Reveals

A feature factory isn't a team problem. It's a system problem.

It reveals:

Leadership doesn't know what outcomes matter Incentives reward activity over results No one's measuring whether features work The feedback loop from customer to team is broken People are evaluated on effort, not impact

Fix any one of those and the feature factory stops being a problem.

I worked with a team that everyone called a feature factory. They shipped like crazy, seemed to ship useless stuff.

Then we changed how they were measured. Instead of "features shipped," we measured "features that retained users six months after launch."

Suddenly everything changed. They shipped slower. But the features stuck. Usage went up. Churn went down.

Same team. Different measurement. They responded rationally to the incentive.

They weren't bad at product. They were just responding to what they were measured on.

How To Actually Fix It

Step one: Stop measuring features shipped. Seriously, delete that metric.

Step two: Measure outcomes. Did this feature move the needle on something customers care about? Is it still being used?

Step three: Make sure people are rewarded for outcomes, not for activity.

Step four: Give teams permission to kill features that don't work.

This is not complicated. It's just hard because it requires admitting that the current system is wrong.

Most companies don't do this. They hire product coaches. They add discovery phases. They implement frameworks.

All of that is theater if you're still rewarding output over outcomes.

The feature factory is a symptom of broken incentives. You can't process your way out of a system problem.

What Actual Product Excellence Looks Like

I worked with a team that shipped eight features in a year. Eight. Sounds slow.

They measured deeply. They iterated on each one. They killed three that didn't stick. They shipped five that moved the needle significantly.

They were measured on impact, not volume. So they could afford to go slow.

Their CEO trusted them because the features they shipped actually mattered.

The feature factory team down the hall shipped 60 features. Leadership was always panicked. Something wasn't working.

The difference wasn't skill. It was incentives.

Look at your feature factory. Odds are good the team isn't the problem. The system is.

Stop punishing them for building the wrong thing faster. Start rewarding them for building the right thing well.

Everything else is just theater disguised as transformation.