Most companies do not have an OKR problem.
But they may have an operational translation problem.
OKRs make leadership teams feel aligned. They compress ambition into a clean sentence and make a complex organization feel temporarily coherent. Improve access. Reduce cost. Modernize the platform. Those are worthy objectives. They are also incomplete.
An OKR is not a strategy, a dependency map, a financial control, or an observability plan. At best, it is a bet the company has decided to place. The real question is whether anyone has built the machinery required to make that bet operationally true. That is exactly where Staff Technical Program Management matters.
The TPM does not own the decision. The TPM owns the machinery that makes the decision executable.
Translating an OKR into an operating model is not work a TPM does alone, and it should not be. Product owns the prioritization tradeoffs. Engineering owns the technical design. Finance owns the cost model. Operations owns the workflow reality. None of that authority belongs to the TPM.
What the TPM owns is the machinery underneath all of it: making sure the cross-functional artifacts required to execute the objective actually get built, maintained, and used. When an organization hands the TPM the objective itself, it risks confusing coordination with authority. The TPM can make the work executable, but cannot substitute for product, engineering, finance, or operational decision ownership.
I learned this most clearly in healthcare programs where the executive objective was simple, but the operating reality was not: national healthcare platforms, hard enrollment windows, regulatory constraints, and zero tolerance for avoidable downtime. In that environment, an objective only mattered if the execution system underneath it was visible, measurable, and governed.
The translation stack
The more useful question is what specifically closes the gap between ambition and execution.
The answer is a fixed set of five artifacts I think of as the translation stack.
- Dependency map: A real view of the systems, vendors, teams, handoffs, and decision points that determine whether the outcome can happen, including dependencies the organization does not directly control.
- Telemetry model: The technical and business signals that prove the underlying process is improving, not just that the system is up. A platform can be fully available while the business workflow underneath it is failing.
- Remediation path: The mechanism for moving recurring defects, cost leakage, or operational pain upstream into product, platform, or process change. If the same issue keeps requiring manual cleanup, the operating model is not working.
- Decision cadence: The structure that produces fewer ambiguous decisions, with clear options, quantified tradeoffs, and explicit ownership, rather than more meetings.
- Risk contract: The written understanding of which assumptions inside the OKR are accepted risk, which are mitigated, and which should stop or redirect the work if they turn out to be wrong.
An OKR that has all five of these built underneath it is operationally real. An OKR missing even one of them is still an aspiration, no matter how confidently it was stated in the planning offsite.
Public failures make the pattern easy to see. HealthCare.gov showed what happens when a major objective launches without enough dependency control, decision discipline, and operational readiness underneath it. The Change Healthcare cyberattack showed how industry-critical dependencies can extend far beyond one company’s walls. The CrowdStrike outage showed how a vendor-introduced failure mode can become an enterprise risk when the risk contract is not strong enough.
Different failures, same lesson: the operating model matters as much as the objective.
The executive version is always too clean
Executive OKRs have to be simple enough to align the company, but that simplicity is where the translation problem lives. The cleaner the statement, the more likely it is that the real execution stack is hidden underneath it.
Take a healthcare platform objective like improving access while reducing administrative cost. On a slide, that sounds straightforward. In the operating model, it involves eligibility, credentialing, claims, payments, provider onboarding, payer rules, exception queues, and compliance review.
The OKR says “Improve access.” The platform asks whether the user can find the right provider, confirm coverage, and get care without the system creating hidden manual work downstream.
The OKR says “Reduce cost.” The workflow asks how much of today’s cost is actually caused by defects, rework, exception handling, and data nobody fully trusts.
This is why mature TPM work starts where the OKR stops. The objective gives the organization direction, but someone still has to convert that direction into the operating stack that makes it executable.
Visibility is not control
The wrong way to manage OKRs is to create a dashboard, assign owners, hold recurring check-ins, and assume the organization is now aligned. That produces visibility, not control.
A dashboard can show that a metric is red. It does not explain which system, process, vendor, dependency, or decision caused it.
This is how organizations end up mistaking consensus on language for control over outcomes. Everyone agrees on the objective. Status gets updated. Leaders ask for more precision. None of it changes whether the dependency map, telemetry model, remediation path, decision cadence, or risk contract actually exists.
A Staff TPM’s job is to keep that gap visible rather than let the dashboard substitute for it.
The test
Here is a simple way to check whether an OKR is ready for execution:
- Can you produce the dependency map for this objective today, including vendors and systems outside your direct control?
- Can you name the signals that prove the underlying business process is improving, not just that uptime looks healthy?
- If the OKR exposes a recurring cost or defect, is there an upstream fix in motion, or is someone just cleaning it up every cycle?
- Is there a decision cadence that would force a clear call if the objective started slipping, or would it just get a yellow status update?
- Has anyone written down which assumptions inside this OKR are accepted risk, which are mitigated, and which should stop the work if they turn out to be wrong?
If you cannot answer those five questions in specifics, the OKR is not ready for execution. It is still an aspiration, and it should be labeled as one until the operating model underneath it exists.
The real test of TPM leadership
The next generation of TPM leadership will not be judged by whether we can recite the company’s OKRs. It will be judged by whether the operating model exists underneath each one, built alongside the functions that actually hold the decisions.
In healthcare, insurance, payments, and other regulated environments, the gap between “we aligned on the objective” and “the system actually works” is where cost, risk, and human frustration accumulate.
That gap is the work. The operating model is the job.
The OKR was always just the aspiration.
Nabeil Sarhan, MBA, is a dynamic technology delivery manager with over 15 years of experience in tech, cybersecurity, and computing scalability. He excels in leading diverse teams and delivering enterprise-class systems across industries such as healthcare, finance, and retail. Nabeil’s passion for solution design, systems architecture, and performance optimization makes him a sought-after consultant. He holds degrees from Harvard, MIT, and Bryant University. Connect with Nabeil on LinkedIn