The 4 Metrics Your Board Cares About (And 12 They Should)

Board Sees EBITDA. Marketing Sees CAC. Nobody Sees the Full Picture.

Last quarter, I walked into a board meeting with what I thought was a clear story. Revenue up 15%. EBITDA improved. Cash position strong.

Then the questions started.

"What's driving the CAC increase?" "Why did engineering headcount grow faster than revenue?" "What's our customer acquisition velocity?"

I had the finance answers. I didn't have the cross-functional answers. Because nobody was looking at the same dashboard.

Marketing tracked CAC but not customer lifetime value by segment. Tech tracked velocity but not cost-per-feature. HR tracked headcount but not productivity-per-hire. Finance tracked everything in aggregate but nothing in context.

Four departments. Four dashboards. Zero integration.

The 4 Metrics Your Board Actually Cares About

When your board asks questions, they're really asking about four things:

1. Are we making money? Revenue, margins, EBITDA.

2. Are we growing efficiently? CAC, LTV, payback period.

3. Are we burning at the right rate? Runway, burn multiple, cash position.

4. Are we building for the future? Pipeline, development velocity, key hires.

Everything else is context for those four questions.

Here's the problem: these four questions can't be answered by Finance alone. They require inputs from Marketing (CAC), Sales (pipeline), Tech (velocity), and HR (key hires). If those departments don't share a framework, the board gets fragmented answers. And fragmented answers make boards nervous.

The 12 Metrics They Should Care About

Here's the dashboard I wish more boards asked for:

Finance (Core)

1. Revenue growth rate (YoY and QoQ). The baseline. But don't just show the number. Show the composition: new business, expansion, churned. A company growing 20% with 15% churn tells a very different story than one growing 20% with 5% churn.

2. Gross margin trend. Not just the current number. The trend over 4-6 quarters. A declining gross margin is a leading indicator of problems that won't show up in EBITDA until it's too late to fix them easily.

3. EBITDA as a percentage of revenue. The board's favorite metric, but shown as a percentage and trended. Absolute EBITDA can grow while margins erode if revenue is growing fast enough. The percentage tells the real story.

4. Cash runway in months. At current burn rate, how long can we operate? This should update monthly and include a sensitivity: what's runway if revenue drops 20%? If a key customer churns?

Marketing (Efficiency)

5. CAC by channel. Blended CAC is almost useless. It hides the fact that your LinkedIn spend is producing customers at $3,000 while your paid search costs $12,000 per customer. Channel-level visibility lets you reallocate spend intelligently.

6. CAC-to-LTV ratio. The most important efficiency metric in any growth business. If you're spending $8,000 to acquire a customer worth $24,000, that's a 3:1 ratio and you should be spending more. If that ratio is 1.5:1, you have a unit economics problem that growth won't fix.

7. Lead-to-customer conversion rate. This connects marketing effort to actual revenue in a way that top-of-funnel metrics like MQLs never will. If conversion is dropping while lead volume is rising, you're generating worse leads, not better ones.

Technology (Velocity)

8. Feature delivery rate. How much is engineering actually shipping? Story points, features completed, however you measure it. The trend matters more than the absolute number.

9. Cost per feature. This is the metric that bridges the gap between Finance and Technology. If engineering spend increased $500K and you shipped 25 more features, your cost-per-feature improved. That's a good story. But only if you have the integrated metric.

Finance sees engineering spend go up and asks "why is headcount growing?" Tech sees velocity increase and says "we shipped more features than ever." Neither is wrong. Both are incomplete. Cost per feature connects them.

10. Tech debt ratio. What percentage of engineering time goes to maintenance versus new development? If your team is spending 40% of its time on keeping the lights on, that constrains your ability to build for the future. Boards rarely ask about this, but they should.

HR (Capacity)

11. Revenue per employee. The simplest productivity metric. Trend it quarterly. If revenue per employee is declining while headcount grows, you're scaling inefficiently. If it's flat or improving, your hires are pulling their weight.

12. Time-to-productivity for new hires. HR sees they hit their hiring targets. Finance sees headcount grow faster than revenue. Seems bad. But if time-to-productivity improved from 90 days to 60 days, those new hires are contributing sooner than expected. The revenue-per-employee metric will catch up. You just need patience. Without this metric, you're making staffing decisions blind.

Why Integration Matters More Than Any Single Metric

The power isn't in any individual metric. It's in the connections between them.

When you see CAC rising (Marketing) while conversion rates drop (Sales) and feature delivery slows (Tech), you might have a product-market fit problem. No single department's dashboard would tell you that.

When revenue per employee drops (Finance) but time-to-productivity improves (HR) and feature delivery accelerates (Tech), you're probably in a healthy investment phase. Again, no single dashboard would tell you that story.

The CFO who operates across departments sees connections others miss. Marketing and Finance competing? Connect their metrics and they're suddenly aligned. Tech and HR not talking? Show them how hiring velocity affects feature delivery.

How to Build This

You don't need expensive software. Here's the practical approach:

Start with the 4 board questions. What does your board really want to know? Map metrics to those questions. If a metric doesn't connect to one of the four, it doesn't belong on the board dashboard.

Identify cross-functional gaps. Where does Finance need input from other departments to answer board questions? Those gaps are where integration breaks down.

Assign metric owners. Every metric needs one person accountable. Not a team. A person. If nobody owns it, nobody updates it, and stale data is worse than no data.

Build the single-page view. One page. Twelve metrics. Four departments. Left column: Finance metrics as the foundation. Right columns: Marketing, Tech, HR metrics as context. Every metric shows current value, trend, target, and owner.

Review weekly, present monthly. The dashboard updates weekly for internal use. Present monthly to leadership. The weekly cadence keeps the data fresh. The monthly cadence gives you time to develop the narrative around the numbers.

The Challenge

Ask your CEO which metric matters most this quarter. If you get four different answers in one conversation, you don't have a metrics problem. You have an alignment problem.

The twelve-metric framework doesn't solve alignment on its own. But it gives everyone the same view of reality. And it's hard to argue about priorities when you're all looking at the same numbers.

Your job isn't to have all the answers. It's to build the dashboard where the answers become obvious.