Teams don’t argue about numbers; they argue about definitions. Inconsistent metrics like MAU erode trust, stall decisions, and mislead AI at scale. Fix it upstream: build a Metric Dictionary with clear names, sources, formulas, and owners. One name, one definition.

One-size dashboards are a myth. Build three layers: Outcome for execs (telescope), Driver for teams (levers), Deep Dive for analysts (microscope). AI enriches layers, it doesn’t flatten them. The aim isn’t more charts; it’s scaling clear decisions at the right altitude. Make layers reduce noise. Go!

Think like a doctor, not a data collector. Your dashboards should be a cockpit, not a buffet. Every metric has a cost in attention, fueling debate and cognitive load. Track only what informs decisions. If a number doesn't drive action, it's just noise.

Stop being data driven. It breeds passivity and dashboard worship. Be data informed: start with a question, state a hypothesis, define the stakes, then use data to pressure test. AI is a sous chef, not your strategist. Data informs. Judgment makes the call. Decide the meal before you open the fridge

Product analytics is essential in B2B SaaS. It shows feature adoption, user paths, and friction, guiding UX, roadmap, and retention. Combine usage data with NPS and voice of customer to prioritise improvements, raise adoption across accounts, and align teams on outcomes. Strengthen product market.