Invisible KPIs: What Metrics Your Company Should Be Tracking and Hasn’t Noticed Yet

In my professional experience, both as someone who builds data analysis dashboards for companies and as someone who also uses these dashboards to make decisions, I notice a curious pattern: many departments know what they want to see, but at the same time don’t really know what they need to track.

And it’s not for lack of skill — it’s for lack of process. Marketing asks for a leads-and-campaigns dashboard, sales asks for a sales one, finance wants a real-time P&L, operations wants productivity. But when I start asking deeper questions, the surface cracks: many of these departments aren’t clear on which indicators are actually critical.

That’s a huge gap, but also a golden opportunity.

The value of invisible KPIs

I like to call “invisible KPIs” those metrics that are right there, directly impacting the business, but that almost no one thinks to measure until someone raises the question. Some examples I’ve seen in projects:

• Marketing: everyone measures CTR, CPC, and CAC. But who measures the average time between a lead’s first interaction and conversion? That interval says a lot about the customer’s real journey and helps align expectations between marketing and sales.
• Sales: measuring the total value of the active portfolio is great, but what about the lost follow-up rate? Those leads that were contacted once and then forgotten. That number can explain performance drops that no “pretty pipeline” will show.
• Operations: productivity per employee is important, but what about the average time spent on non-productive tasks? By mapping this, I’ve helped companies cut invisible costs that weren’t showing up in any official report.
• Finance: beyond the obvious cash flow, have you thought about measuring the percentage of recurring expenses that aren’t tied to formal contracts? It’s a KPI that reveals hidden risks.

These indicators usually aren’t in a dashboard’s initial brief. They emerge through dialogue, through questioning, through the critical eye of someone who has implemented dozens of projects.

The difference between an average consultant and a strategic consultant

This is where the difference lies: an average consultant takes the request and delivers the dashboard. A strategic consultant goes further, questions, challenges, and surfaces indicators the client didn’t even know they needed. At its core, building dashboards isn’t just about assembling pretty charts. It’s about helping companies see the invisible. And I say this because I’ve been on both sides: the requester, who often isn’t entirely clear on what to ask for, and the developer, who needs to translate that need into something useful and transformative.

When I manage to deliver a dashboard that surprises the department — not just through our design, but by surfacing insights that weren’t previously being discussed — that’s when I feel the work truly made a difference. If today you look at your dashboards and feel like they’re showing “more of the same,” it might be time to look for the invisible KPIs. The ones that don’t show up in the initial request, but reveal bottlenecks, opportunities, and even risks your company hasn’t noticed yet.

That’s the kind of challenge that separates those who merely collect data from those who truly generate intelligence and stand out in the market.

Why does accessibility matter?

Accessibility goes beyond meeting legal requirements; it’s about ensuring everyone can understand and interact with the information presented. By adopting accessible practices, you not only include more people, but also improve the clarity and effectiveness of your visualizations for all users.

Tips for improving accessibility in visualizations

Here are some practical suggestions that are easy to implement:

• Avoid relying solely on color: Use patterns, textures, or labels to differentiate elements, making sure information isn’t lost on users with color blindness or other visual impairments.
• Use adequate contrast: Make sure there’s enough contrast between elements and the background to make reading easier.
• Provide alternative descriptions: Include alt text describing the content and purpose of visualizations for screen reader users.
• Simplify the design: Avoid overloading the visualization with unnecessary information. A clean, direct design makes understanding easier.
• Consider multiple presentation formats: Offer data in different formats, like tables or text descriptions, to meet diverse needs.

In short, a good exercise is to try designing your dashboard entirely in black, white, and shades of gray. This will inevitably force the design to communicate inclusively, without relying solely on color to convey meaning. Besides being accessible, this practice also results in a clearer, more structured layout.

Implementing these practices not only makes your visualizations more inclusive, but also improves the overall user experience. Accessible visualizations tend to be clearer, easier to understand, and more effective at communicating data.

Accessibility in data visualizations is a shared responsibility among designers, developers, and analysts. With small changes and attention to detail, it’s possible to create visualizations that not only inform, but also include.

At Cluster, we help companies turn complex data into clear, inclusive, and effective visual narratives. Let’s talk?

Written by: Thiago Pessato – CEO of Cluster