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Google’s OKR guide reframes goals for monday.com teams

Google’s OKR model pushes monday.com teams to measure impact, not task lists, as AI, CRM and enterprise growth make weekly execution the real test.

Derek Washington··5 min read
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Google’s OKR guide reframes goals for monday.com teams
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Google grades OKRs on a 0.0 to 1.0 scale, keeps them public and treats 60 percent to 70 percent attainment as the sweet spot. Objectives are supposed to be ambitious, key results measurable, and the system is meant to expose whether the work is actually moving the business. For monday.com teams shipping AI features, enterprise tools and pricing changes at the same time, a polished QBR slide is not the same thing as a working operating rhythm.

If every objective is fully met, the bar is probably too low. That is a better fit for a fast-moving SaaS company than a stack of vague goals that look impressive in a deck and vanish once the quarter starts.

AI-generated illustration
AI-generated illustration

What Google’s model is really asking teams to do

The method traces back to Andy Grove at Intel, where John Doerr learned it. It was built for strategic transitions, not for motivational posters or a prettier task list. The point is to force a team to choose what it will move, what it will not, and how it will know progress is real.

That is exactly where many workplace systems fail. An objective like “improve the platform” is too broad to guide engineers, product managers or sales leaders. A stronger objective points to a business outcome such as customer adoption, enterprise expansion, retention or reliability, then pairs it with key results that can be checked weekly inside the work-management system.

For monday.com, that distinction is practical, not philosophical. OKRs are most useful when they make it obvious who owns the outcome, what number matters and what tradeoff the team is making. If the objective cannot be tied to a business result, it is probably too operational. If nobody can explain what will move the metric, it is probably too vague.

Why monday.com’s numbers make execution matter more

monday.com reported more than 250,000 customers worldwide and fiscal 2025 revenue of $1.232 billion, up 27 percent year over year. Customers with more than $50,000 in annual recurring revenue represented 41 percent of total ARR, a sign that the business is not just adding logos but moving upmarket.

That mix changes what teams need from OKRs. If the company is pushing deeper into larger accounts while broadening product usage, teams cannot afford goals that are only about shipping output. Product teams need objectives tied to customer value and adoption. Sales teams need objectives tied to expansion and new segments. Engineering teams need objectives tied to reliability, latency or the adoption of a feature, especially when that feature is part of a monetization strategy.

monday vibe became the fastest product to surpass $1 million in ARR in the company’s history, monday.com said. That is the kind of milestone that should change how teams write OKRs: not “launch AI,” but “increase paid usage,” “improve activation” or “convert more teams into repeat users.”

What the latest results say about management priorities

In the first quarter of 2026, monday.com reported revenue of $351.3 million, up 24 percent year over year. It also posted record GAAP and non-GAAP operating income and record net adds of customers with more than $500,000 in ARR. The numbers show a company increasingly judged on efficiency, enterprise penetration and the ability to grow without adding headcount in lockstep.

Chief financial officer Eliran Glazer tied that discipline to AI productivity gains inside the company, alongside a shift to consumption-based pricing. Internal productivity is part of the business model, not just an HR talking point. A good objective might target faster cycle time, higher output per team or better conversion from AI-assisted workflows to paid usage.

The same pattern appeared in the company’s second quarter of 2025, when revenue reached $299.0 million, up 27 percent year over year, and management said monday CRM had recently reached $100 million in ARR. Enterprise demand was also growing.

How to turn OKRs into actual operating discipline

The mistake most teams make is treating OKRs as a quarterly ceremony. They should function as a management system that shows up in ownership, reviews and day-to-day work.

Start with a business outcome, not a task

An objective should name the result the company wants, such as stronger enterprise retention, higher AI feature adoption or faster reliability improvements. A key result then measures whether the team is getting there.

Assign one owner per objective

If everyone owns it, nobody does. The owner does not do all the work, but that person is accountable for keeping the objective visible, aligned and measurable across engineering, product, sales or operations.

Break the key result into weekly checkpoints

The point is not to wait until the quarter ends to learn the number moved or stalled. Put the metric into the work-management system, review it on a weekly cadence and tie each checkpoint to a concrete deliverable, decision or experiment.

Use the 60 percent to 70 percent target as a planning tool

The guidance prevents teams from sandbagging. If every team is hitting 1.0, the objectives are not ambitious enough. If progress is stuck far below 0.6, the team probably needs to narrow scope or remove blockers.

Keep OKRs separate from performance reviews

OKRs are not performance reviews and not a shared to-do list. That separation matters at a company like monday.com, where managers can easily confuse visible activity with meaningful progress.

Why this fits monday.com’s moment

Daniel Lereya captured the shift at the company’s Elevate conference on September 17, 2025, when monday.com announced monday agents, expanded AI capabilities with monday magic, monday vibe and monday sidekick, and launched monday campaigns within monday CRM. His message was simple: software should move from managing work to doing the work.

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