Proving the ROI of a Single Feature in an Analytics Dashboard

When I sit with a CEO who's deciding whether a feature earns its keep, the conversation rarely starts with screens. It starts with a number on a board they have to defend. So when I design analytics dashboards for marketers, I treat ROI as a design problem, not just a finance one. The principle I lean on is Insights-Before-Numbers. A raw metric like 'campaign engagement up' doesn't justify a feature. An interpreted insight does: what changed, why it matters, and what to do next. So I attach an action button to every insight the feature surfaces. That action is the ROI story made visible — the user didn't just see something, they did something because of it. That design choice gives you a measurable chain: feature shown, insight understood, action taken, outcome moved. For a CEO, that's the argument. You're no longer asking 'do people open this tab?' You're tracking whether the feature changed behavior that maps to revenue or retained spend. My rule: if a feature can't connect an insight to an action a marketer would otherwise miss, it isn't a feature worth funding. ROI lives in that gap.