The Problem With OKRs

I have been thinking about OKRs lately.

Not whether they work. They clearly can.

What interests me more is what they assume about how people and systems behave.

OKRs are built on a simple premise: if you define clear objectives and measurable key results, people will move toward them.

This is true.

It is also incomplete.

Over the last year, I have been focused on health. Not health as an aesthetic project or a performance metric, but health as capacity. Energy. Attention. Recovery. The ability to be fully present inside my own life.

At no point did I set an OKR like this:

• Objective: Become healthier.
• Key Result: Produce visible proof of progress.

Not because it would not have worked.

Because it would have missed the system entirely.

The actual system looked more like this:

• Walking more without tracking it obsessively.
• Eating simpler food.
• Paying attention to stress.
• Sleeping better.
• Noticing when I was acting out of habit instead of intention.

None of these map neatly to a dashboard.

Together, they changed everything.

This is where OKRs start to struggle. They are very good at measuring outcomes. They are much less effective at shaping environments.

Recently I asked an AI model how to design better systems for behavior change. Its answer was simple: make the desired behavior the path of least resistance.

That stayed with me because it names the difference clearly.

OKRs do not reduce resistance.

They declare intent.

In games, this difference is obvious. A well-designed system does not need to lecture you toward the desired outcome. It creates incentives, constraints, and feedback loops that make certain behaviors emerge naturally.

The structure teaches you how to play.

But lately I think ecology offers an even better metaphor than games.

Some things do not arrive because they were mandated. They arrive because the conditions changed enough for them to appear.

A disturbed field does not fill back in through declaration. It fills through succession. Certain species show up first. They stabilize the ground. They take advantage of the available light. They create cover, pressure, and possibility for whatever comes next.

That process is messy if you are only looking for neat plans. It is also real.

Most organizations do the opposite. We define objectives, measure results, and then ask people to navigate systems that were never designed to support those outcomes in the first place.

This creates a quiet tension: we optimize for what we can measure inside systems we do not fully understand.

We say we want collaboration, but reward territorial behavior. We say we want creativity, but remove slack. We say we want better judgment, but flood people with dashboards, urgency, and surveillance. Then we act surprised when the only things that thrive are speed, caution, and theater.

This is not just a management problem. It is increasingly a health problem.

High-functioning societies are often extremely good at producing efficiency while quietly degrading quality. Faster replies. Denser calendars. Cleaner reporting. More throughput. Meanwhile attention fragments, meals get rushed, sleep gets negotiated away, public space thins out, and whole populations start living as if being slightly overextended is the natural price of participation.

We become impressive at operating while becoming worse at inhabiting our own lives.

AI is starting to amplify this. We can now generate OKRs faster than ever. Cleaner phrasing. Better structure. More alignment. More confidence in the shape of the sentence.

But the underlying question remains the same.

Are we measuring the right thing, or just measuring it more efficiently?

Lately I have been more interested in a different question:

What system would make the right behavior inevitable?

Or maybe even more honestly:

What conditions would make better behavior easier to grow?

That is a harder question. It is less portable. It does not fit as neatly into a quarterly planning document.

It also feels closer to reality.

Because people are not empty fields waiting for instructions. Organizations are not spreadsheets with morale attached. They are living environments with weather, competition, hidden nutrients, and recurring damage.

And health is not a side quest inside those environments. It is one of the clearest signals of whether the system is humane.

If everything in an organization depends on people constantly pushing uphill toward a metric, the problem may not be motivation.

It may be the system.

OKRs are useful.

But they are not the system.

And sometimes treating them like one is where things start to break.

The better question is not just what we want to harvest this quarter.

It is what we are making possible, what we are crowding out, and what might finally emerge if we stopped confusing targets with habitat.

If we are serious about change, the work ahead is not just to write better goals.

It is to build better conditions.

Less coercion. More slack. Better feedback. More room for trust, recovery, experimentation, and the kinds of early growth that do not look impressive yet.

If efficiency keeps winning every argument, quality will keep disappearing in ways we only notice after the damage accumulates.

So the call is not to abandon ambition. It is to become more demanding about what counts as a good system.

Does it produce health, or just output? Does it deepen attention, or just accelerate response? Does it help people make better work and live better lives, or merely become more efficient at enduring depletion?

The future probably belongs to teams and societies that understand this: not how to declare the right outcomes, but how to cultivate the environments where quality, health, and meaning can actually take root.