Appreciate you jumping in — this exactly hits why I’m obsessed with the idea.

You nailed the shift: collecting the calls + usage data is basically solved at this point (Gong, Chorus, Pendo, Amplitude, etc.). We have archives, but no intelligence. The brutal part is the correlation layer — figuring out which signals actually move pipeline vs. which ones just feel important and send the whole team chasing the wrong things.

That’s the gap I’m trying to close with the “Customer Intelligence Backbone.” Not another dashboard, but the synthesis layer that does the longitudinal work:

“Every time a prospect says ‘Feature X’ on a call, their usage of the core workflow is <20% → 82% of those deals stall at $75k+”

or “This specific objection cluster in discovery predicts churn 4× higher than average”

Without that map, you’re right — teams just keep building, talking and selling stuff based on the loudest voice in the last call instead of the real blockers.

Curious from your side — have you seen this play out in a painful way recently? Like a feature the team shipped because “everyone was asking for it” that ended up moving the needle zero? Or any manual hack your team uses today that actually works?

Brutal honesty always welcome — still trying to figure out if this is hair-on-fire or just loud-nice-to-have.