Brands need to know

How to use performance targets

If they want to succeed

The debate between OKRs and KPIs is a false dichotomy. The real question is: do you know which one to use when?

In our work helping organisations become outcome-led, one of the most common sources of confusion is the relationship between OKRs (Objectives and Key Results) and KPIs (Key Performance Indicators). Too often, organisations treat them as competing frameworks — adopting one and discarding the other, or worse, relabelling their existing KPIs as OKRs and wondering why nothing changes.

The truth is simpler and more useful than the debate suggests. OKRs and KPIs are different tools designed for different jobs. Understanding which job each one serves — and deploying them accordingly — is one of the most consequential operational decisions a leadership team can make.

What KPIs actually do well

KPIs measure the health of ongoing operations. They answer a vital question: is the system running as expected?

Revenue per customer. Net Promoter Score. System uptime. Employee retention rate. Average handling time. These are all legitimate KPIs, and they serve an indispensable function. They tell you whether the engine is running smoothly. They provide early warning when something is drifting off course. They enable the kind of continuous monitoring that prevents small problems from becoming large ones.

KPIs are, in essence, the instruments on the dashboard. A pilot doesn't fly without them, and neither should an organisation operate without them. They are the backbone of what we might call "keeping the lights on" — the essential work of maintaining the current operation at the expected level of performance.

Where KPIs fall short is in driving change. A KPI tells you where you are. It doesn't articulate where you're going or how you'll know when you've arrived at somewhere meaningfully different. It monitors the present state. It doesn't describe a future one.

What OKRs are actually for

OKRs operate on fundamentally different terrain. An Objective declares an ambitious, qualitative intention — a description of a future state worth reaching. Key Results define the measurable evidence that would prove you've achieved it.

The distinction matters because OKRs force a conversation that KPIs typically sidestep: what change are we actually trying to create?

This is why simply relabelling existing KPIs as Key Results fails so spectacularly. If your "OKR" is "maintain 99.9% uptime," you haven't set an outcome — you've dressed up a service level agreement in new clothes. Genuine Key Results describe a shift: a market position moved, a customer behaviour changed, a capability established that didn't exist before.

When Andy Grove developed the OKR framework at Intel in the 1970s, he was building on Peter Drucker's earlier work on Management by Objectives, but with a critical refinement. Grove insisted on short cycles, measurable results, and transparency across the entire organisation. The system was designed not for monitoring steady-state operations, but for driving the kind of focused, ambitious change that would later see Intel capture 85% of the microprocessor market through "Operation Crush."

The key insight was that OKRs should be uncomfortable. Google, which adopted OKRs in 1999, established a culture where consistently hitting 100% of your Key Results was treated as a problem — it meant the goals weren't ambitious enough. The target was 60–70% achievement, reflecting the principle that OKRs should push the organisation beyond what it would accomplish through business as usual.

The lights-on dilemma

Every organisation faces the fundamental tension between maintaining its current operations and making step changes. And this is precisely where the OKR/KPI distinction becomes operationally essential rather than merely conceptual.

The danger of an undifferentiated approach is twofold. If you try to govern everything with OKRs, operational necessities get deprioritised in favour of ambitious transformation goals — until something breaks. If you try to govern everything with KPIs, the organisation monitors its way into stagnation, tracking the health of operations that are slowly becoming irrelevant.

The resolution isn't to choose one framework over the other. It's to be explicit about the distinction between two fundamentally different types of work, and to apply the right instrument to each.

Keeping the lights on — governed by KPIs. Operational health, service levels, regulatory compliance, and the steady rhythms of the business are best managed through KPIs with clear thresholds and escalation paths. These are your guardrails for the current state. When a KPI breaches a threshold, the response is diagnostic and corrective: find the cause, fix it, restore performance. This is where KPIs genuinely shine — as sentinels for the steady state.

Step change — governed by OKRs. New capabilities, market shifts, strategic pivots, customer experience transformations, and business model evolution require a different instrument entirely. These are outcomes you haven't achieved yet. They need ambitious objectives, measurable key results, and the creative freedom for teams to find the best path to get there. OKRs create the space for this kind of directed ambition.

Protecting step-change capacity

The critical discipline is ring-fencing capacity for both, making the split visible, and resisting the gravitational pull of BAU work to consume all available resource.

This gravitational pull is real and relentless. Operational work is immediate, tangible, and carries clear consequences for failure. Step-change work is future-oriented, uncertain, and its consequences for neglect are invisible — until they're catastrophic. The result, in organisation after organisation, is that lights-on work gradually absorbs all available capacity, and the organisation stops changing while convincing itself it hasn't.

Effective outcome-led organisations address this in several ways. They explicitly allocate capacity between operational and transformational work — and they protect the allocation. They create separate governance and reporting structures for each, so that step-change initiatives aren't perpetually competing for attention against operational fires. And they ensure that leadership reviews cover both domains, rather than defaulting to whichever is shouting loudest.

Some organisations find it useful to adopt a portfolio allocation model. This might allocate, say, 60% of capacity to core operations and incremental improvements, 20% to strategic bets and step changes, 10% to planning and alignment, and 10% to absorbing the unplanned demands that inevitably arise. The specific ratios matter less than the discipline of making the split explicit and holding to it.

Competitive prioritisation in a resource-constrained world

Once you've separated lights-on from step-change, you face a second challenge: how do you prioritise among competing step-change initiatives when resources are finite?

No organisation has unlimited capacity. The question is never should we prioritise? — it's are we prioritising well?

Outcome-led prioritisation means evaluating every initiative against its expected contribution to stated outcomes, not against internal politics, legacy commitments, or the enthusiasm of its sponsor. This requires making the criteria explicit and the trade-offs visible, so that leadership teams can make defensible choices rather than defaulting to the loudest voice or the most recent crisis.

Several techniques support this discipline. Weighted scoring against strategic outcomes provides a structured way to compare unlike initiatives on a common scale. Cost-of-delay analysis quantifies the impact of waiting, making the implicit cost of indecision explicit. Structured dependency mapping reveals where initiatives are interconnected and where sequencing constraints apply. The ISO 21502 standard on project, programme, and portfolio management provides a rigorous backbone here, emphasising that portfolio-level decisions should be driven by strategic alignment and benefits realisation rather than project-level momentum.

Equally important — and often harder — is the discipline of deprioritisation. Saying yes to everything is the same as having no priorities at all. Outcome-led organisations get comfortable with the discomfort of stopping work that is already underway but no longer strategically justified. This requires both the analytical rigour to identify when an initiative has lost its case, and the organisational courage to act on that analysis.

A practical framework

In practice, the relationship between OKRs and KPIs can be summarised simply:

KPIs ask: Is the system healthy? They monitor. They alert. They protect the current state. They are your operational immune system.

OKRs ask: What future state are we pursuing? They direct. They stretch. They create accountability for change. They are your strategic compass.

Both are essential. Neither is sufficient alone. The operational maturity of an organisation can often be gauged by how clearly it distinguishes between the two and how deliberately it deploys each one.

The organisations that get this right don't just run their operations more smoothly or deliver change more effectively. They develop the capacity to do both simultaneously — maintaining the engine while redesigning it in flight. And in our experience, that is precisely the capability that separates organisations that adapt and grow from those that gradually, and then suddenly, don't.

Further reading

  1. Locke, E.A. & Latham, G.P. (2006). "New Directions in Goal-Setting Theory." Current Directions in Psychological Science, 15(5), 265–268. SAGE Journals
  2. ISO 21502:2020 — Project, programme and portfolio management — Guidance on project management. International Organization for Standardization. ISO catalogue
  3. OECD (2019). "Budgeting and Public Expenditures in OECD Countries 2019" — Chapter 5: Performance budgeting. Organisation for Economic Co-operation and Development. OECD iLibrary
  4. Drucker, P.F. (1954). The Practice of Management. Harper & Row. — The foundational text on Management by Objectives, establishing the intellectual lineage from which both KPIs and OKRs descend.
  5. Grove, A.S. (1983). High Output Management. Random House. — The original articulation of the OKR framework by its creator, with practical guidance on implementation in a high-growth technology organisation.

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