The ability to measure routing performance with detailed metrics on volume distribution, processing speed, and the business impact of routing decisions on downstream conversion and revenue outcomes.

Currently, routing is a black box where success is defined as "record got assigned" with no visibility into whether routing logic is actually driving better business results. There's no way to measure if certain routing paths lead to faster follow-up, higher conversion rates, or better pipeline outcomes compared to others.

For example: if a team switches from round-robin to territory-based routing for enterprise leads, there's no way to prove whether it's actually working better. Without analytics, you can't see that 60% of leads now route to territory specialists, that assignment time dropped from 4 hours to 45 minutes, or most importantly, that territory-routed leads convert to opportunities at 28% vs 18% for the old approach.

Routing analytics would provide dashboards showing: volume distribution across routing paths, processing speed metrics (time from record entry to assignment), path comparison over time, and critically, how routing decisions correlate with downstream conversion rates, opportunity creation, and pipeline velocity. This would enable data-driven optimization of routing logic and justify investment in more sophisticated routing strategies.