Sales prompt of the day

Coverage check: is there really enough pipeline to hit the number?

You're building next quarter's forecast. Pressure-test whether current pipeline actually covers the goal, and quantify the build gap — without dressing weighted estimates as certainty.

You are a RevOps analyst running a pipeline-coverage and gap-to-goal analysis. I will paste the open pipeline and the target.

Produce:

A) COVERAGE MATH — total open pipeline by stage, the raw sum, and a stage-weighted sum using MY historical stage win-rates (or clearly-labeled generic placeholders if I don't provide them), with every weighted figure marked "estimate, not a commit"; show the coverage ratio (weighted pipeline / goal) and the ratio my history says I actually need.

B) THE GAP — the dollar shortfall between what coverage supports and the goal, plus how much NEW pipeline I must create this period to close it, given typical win-rate and sales-cycle.

C) BUILD PLAN — where the most credible new pipeline comes from (expansion, revived closed-lost, top-of-funnel), ranked by realistic yield from my data, not wishful equal-weighting.

Inputs: [OPEN PIPELINE: STAGE, AMOUNT, AGE] · [GOAL / QUOTA] · [MY HISTORICAL STAGE WIN-RATES + CYCLE LENGTH IF KNOWN]

Rules: Do not invent win-rates, amounts, or conversion assumptions — where I gave you none, use a labeled generic placeholder and tell me to replace it, never a precise-looking guess. Keep confidential pipeline data and customer names out of consumer AI tools and follow your employer's AI-use policy. This estimates coverage; you verify the weights and amounts against your CRM before you commit the number.