Has anyone documented a minimal KPI set that reliably predicts bookings? We cut from 18 tracked metrics to 7 and saw forecast accuracy move from 63% to 78% over two quarters; I’m looking for a shareable Excel or Looker dashboard managers can use in QBRs, ideally with segment-level pipeline coverage and stage velocity baked.
I’ve got a lightweight Excel that tracks segment-level coverage and “stage velocity” and rolls up a bookings prediction using trailing‑90 win rate; happy to share a clean copy (think fuel and speed, not bumper stickers). Small caveat: coverage targets should flex by segment and seasonality, so I use dynamic 2.5–3.5x bands. Do you want the Excel or a Looker view?
, too many vanity metrics — I’d keep it to four that move forecasts: segment-level “coverage” vs quota, median days-in-stage for “stage velocity”, trailing‑90 stage conversion, and % opps with next step/date set. We jumped from about 70% to 83% after flagging deals >14 days in stage or with >1 push; in Looker I use a simple cohort tile plus a push_count filter, and for coverage I like the 3x guidance here: https://openviewpartners.com/blog/pipeline-coverage-ratio/. Want me to drop a redacted LookML/Explore, or do you need a pure Excel for QBRs?
Quick add: track ‘freshness %’ (share of opps with a next meeting on calendar within 14 days) and ‘slip rate’ (opps that moved their close date inside the quarter); those two sharpened our commits more than adding fields — like checking milk expiry before brewing lattes. I can share a Looker tile + Excel with those flags baked in; @vsingh86 should I drop the template here or DM?