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Every CEO has a dashboard. Revenue, gross margin, customer acquisition cost, churn rate, cash runway — the standard numbers that boards expect and investors scrutinise. These metrics matter. Nobody is suggesting otherwise.
But there is a category of operational data that rarely makes it to the executive level, and the absence of that data leads to decisions that look sound on paper but quietly erode profitability over time. These are not exotic KPIs. They are straightforward measurements that most organisations already have the raw data to calculate — they just never do.
- Effective Labour Cost Per Deliverable
Most companies know their total payroll cost. Many can break it down by department. Very few can tell you what it actually costs, in labour hours, to deliver a single unit of their product or service.
For a consulting firm, that unit might be a client engagement. For a software company, it might be a feature release. For a marketing agency, it might be a campaign. Whatever the unit is, knowing the fully loaded labour cost to produce it is the foundation of pricing strategy.
Without this number, pricing is based on market comparison, gut instinct, or what the client is willing to pay. All of those can work for a while. None of them tell you whether you are actually making money on the work.
The reason most companies lack this data is not a lack of interest. It is a lack of infrastructure. Calculating labour cost per deliverable requires time tracking at the project level, which means employees need to record their hours against specific work — not just clock in and out for payroll purposes. Many organisations resist this because it feels bureaucratic, but the alternative is making margin decisions with incomplete information.
Project management tools like Asana, Monday.com, and actiTIME all offer some form of time-to-project tracking. The capability exists. The question is whether leadership considers it important enough to implement.
- Non-Billable Ratio in Revenue-Generating Teams
In any professional services business — legal, accounting, consulting, engineering, creative agencies — the ratio of billable to non-billable hours is arguably more important than revenue growth. A firm can grow its top line by 20% and still lose money if utilisation drops from 70% to 55% in the same period.
Yet many CEOs see utilisation only as an annual average, if they see it at all. The more useful view is by team, by month, and ideally by client. When non-billable hours spike for a specific team, it usually points to something concrete: unclear project scopes, excessive internal meetings, rework driven by poor briefing, or administrative overhead that has crept up without anyone noticing.
This is not a metric that requires a large investment to track. Most project management tools can separate billable from non-billable time entries. actiTIME, for instance, allows this distinction at the task level and generates utilisation reports by team member and project. But the tool is secondary. What matters is that someone at the executive level is asking for this data regularly and acting on it.
- Estimate Accuracy Over Time
Every project starts with an estimate. How many hours it will take, what it will cost, when it will be done. These estimates drive client commitments, staffing decisions, and financial forecasts.
Surprisingly few companies measure how accurate those estimates turn out to be. They know when a project is late or over budget — that is hard to miss. But they rarely look at the pattern across all projects to determine whether their estimation process is systematically biased.
A firm that consistently underestimates by 25% is not just losing money on individual projects. It is misallocating resources across the entire portfolio. Teams are perpetually stretched because the plan assumed they had more capacity than they actually do. Deadlines pile up. Quality suffers. The symptoms are visible — the root cause is not, because nobody is tracking the gap between estimated and actual effort in aggregate.
This is a metric that accumulates value over time. The first quarter of data is interesting. After a year, it becomes a strategic planning tool. It tells you which types of work you estimate well, which you consistently get wrong, and by how much. That information changes how you bid, staff, and schedule.
- Cost of Coordination
As organisations grow, coordination costs grow faster. More people means more meetings, more handoffs, more communication overhead. This is natural. What is not natural is that almost no company measures it.
Coordination cost is the time your people spend not doing the work they were hired to do, but organising, discussing, aligning, and reporting on that work. It includes status meetings, email chains about task ownership, cross-functional syncs, and the time spent context-switching between projects.
A 2022 study from the Harvard Business School estimated that the average knowledge worker spends roughly 28% of their workweek on coordination activities rather than productive output. For a 500-person company with an average salary of $80,000, that is over $11 million annually spent on the organisational friction of getting things done.
CEOs rarely see this number because it is difficult to isolate. It does not appear on any standard financial report. But if your teams are tracking their time against project categories — even at a rough level — the data is there. The hours logged against internal meetings, admin, and cross-team communication tell you how much of your workforce is spent on the machinery of the organisation rather than its output.
When coordination costs reach 30% or more, it is usually a structural signal. Layers of approval have accumulated. Meetings have multiplied without sunset clauses. Teams are organised in ways that create dependencies rather than autonomy. The metric does not diagnose the cause, but it tells you there is a problem worth investigating.
- Client Profitability Distribution
Revenue concentration is a risk that most CEOs track. If one client accounts for 40% of revenue, that dependency is visible and understood. What is less visible is profit concentration — or more precisely, the spread of profitability across clients.
It is common for a company to discover, upon close analysis, that its top 20% of clients by revenue are generating 80% or more of its profit, while the bottom 30% are actually loss-making once you account for the true cost of service delivery. The loss-making clients are not necessarily bad clients. They may have been underpriced, over-serviced, or subject to scope creep that was never renegotiated.
You cannot see this distribution without project-level cost data, which brings us back to time tracking. When each hour of work is recorded against a client, calculating profitability is arithmetic. Without it, profitability is an assumption — and assumptions tend to be generous toward the clients who shout the loudest rather than the ones who actually contribute to the bottom line.
Why These Metrics Stay Hidden
The common thread across all five of these metrics is that they require operational data — specifically, data about how people spend their time — to flow upward to the executive level. In most organisations, that data either does not exist, exists only in fragmented form, or sits inside project management tools that nobody thinks to connect to executive reporting.
This is partly a cultural issue. Time tracking carries baggage. Many leaders associate it with micromanagement or hourly-wage environments and are reluctant to ask salaried professionals to log their hours. That reluctance is understandable, but it comes at a cost: it leaves the CEO making resource allocation, pricing, and growth decisions with a significant blind spot in the data.
The fix does not require a massive technology investment. A modern project management tool with time tracking capabilities — whether that is actiTIME, Harvest, Teamwork, or any number of alternatives — can provide the raw data. What it requires is a decision at the top that this data matters enough to collect.
The Executive Takeaway
Revenue and margin tell you whether the business is working. The five metrics above tell you why — and more importantly, where it is leaking value that never shows up on a P&L.
The CEOs who build genuinely durable companies tend to be the ones who look past the dashboard and ask uncomfortable questions about the operational reality underneath it. How much does it actually cost us to deliver this? Where are we giving away time we should be billing for? Which clients are we losing money on? How much of our team’s week is spent coordinating rather than producing?
The answers are not always pleasant. But they are always useful.