There is a moment I have seen at nearly every software company I have worked with.
It goes like this: Product writes a requirements document. Engineering builds exactly what the document says. Product reviews it and says, "That's not what we meant."
The sprint gets written off. A release date moves. Someone goes back to a customer with a new timeline. And everyone quietly absorbs the cost without naming the thing that caused it.
Here is what is interesting about that moment: nobody is wrong.
The requirements weren't wrong. The build wasn't wrong. Engineering did what was asked. Product said what they meant – or thought they did.
The system was wrong.
Specifically, the system that allowed "what you said" and "what you meant" to stay disconnected long enough to turn into a missed sprint, a strained customer relationship, and three weeks of rework.
That moment – small, frequent, almost invisible – is the central problem in most software companies. Not the only problem. But the one that multiplies everything else.
What That Moment Actually Costs
We don't track what that moment costs because it never shows up as a line item.
It shows up as:
- A sprint that closed with zero shippable output
- A roadmap that drifted two months without anyone declaring it had drifted
- A sales rep who stopped committing to timelines because they learned not to trust them
- An executive who started micromanaging engineering because they couldn't see what was happening until it was too late
Every one of those outcomes has a dollar value. A churn risk. A deal delayed or lost.
But we don't label them "the cost of misalignment between what product said and what engineering understood." We label them "execution problems" and look for someone to blame.
The VP of Engineering gets a PIP. The PM gets moved to a different team. The sprint process gets overhauled.
And the next sprint, it happens again.
Because we treated a system problem like a people problem.
Why It Keeps Happening
Requirements documents are written in one mental model and read in another.
Product thinks in terms of outcomes – what the user should be able to do, what problem should be solved, how the experience should feel. Engineering thinks in terms of constraints – what's technically feasible, what the codebase will support, what can actually ship in the given time.
Both of those mental models are correct. Both are necessary. And in most organizations, they never actually meet.
Product writes the requirements alone. Engineering reads them alone. The first time those two mental models collide is in the sprint review – when the feature is already built.
That is too late.
The gap isn't a communication problem. You can't fix it with better meetings or clearer templates or more detailed tickets. You can't fix it by hiring more senior engineers or more experienced PMs.
You fix it by changing when those two mental models meet.
Move it from the sprint review to the requirements phase. Make the collision happen on paper, before a single line of code is written. Build a system where engineering's constraints and product's intent are visible to each other before work begins – not after.
That is not a new idea. Plenty of frameworks gesture at it. Very few organizations actually do it.
Why Most Organizations Don't Fix It
Because fixing it requires something harder than a process change. It requires leadership to stop treating the symptoms.
When delivery is unpredictable, the instinct is to add process – more ceremony, more documentation, more checkpoints. That adds friction without fixing the root cause. The requirements-to-build gap survives all of it.
When velocity is low, the instinct is to add resources – more engineers, more PMs, a new tool. That adds cost without fixing the root cause. The gap multiplies.
When sales starts slipping, the instinct is to fix sales – new methodology, new comp plan, new leader. That misses the root cause entirely. Sales is telling you the truth about your delivery system. They are not the problem.
The pattern is consistent: treat the output as the problem, ignore the system producing it.
That is not negligence. It is a natural response to the way these failures present themselves. The sprint that went wrong looks like a sprint problem. The rep who missed quota looks like a rep problem. The roadmap that drifted looks like a planning problem.
They are all the same problem.
What Fixing It Actually Looks Like
I want to be concrete, because this is where most of these articles go vague.
Fixing the system means answering three questions before work begins – not after:
One: What does success actually look like?
Not "what are we building" but "how will we know it worked." If you can't answer this in terms a customer would recognize – adoption, revenue impact, a problem that no longer exists – you're not ready to build.
Two: What are the actual constraints?
Not what would be ideal, but what can engineering actually commit to given current capacity, technical debt, and dependencies. This conversation has to happen before the sprint, not during it.
Three: Where do those two things not match?
This is the question nobody asks. Where does what success looks like bump up against what's actually buildable in the given time? That gap is not a problem to hide – it is a decision that needs to be made. By leadership. Before the sprint starts.
Most organizations skip question three. They take the requirements at face value, assume engineering can figure it out, and discover the mismatch in the sprint review.
Make the mismatch visible earlier. Force the decision earlier. The sprint review should be a confirmation, not a discovery.
The System Is the Leverage Point
I've spent most of my career at the intersection of product, engineering, and go-to-market. In 2017, I co-wrote a book about why organizations fail to execute. The core argument then is the same argument I make now:
Team-level changes don't fix organizational-level problems.
You can retrain your engineers. You can hire a better PM. You can overhaul your sprint ceremonies. You can buy a new project management tool.
None of that changes the system that sits above the team – the one that decides what gets built, how it gets prioritized, and whether product and engineering are operating from the same truth.
Fix the system, and the team problems mostly resolve themselves.
Leave the system broken, and every people and process change you make just moves the failure to a different place.
The moment nobody talks about – product says "that's not what we meant" – is a signal. It is telling you something about your system.
The question is whether you're going to listen to it.