Deal health scoring is the use of AI to classify the structural soundness of a sales opportunity at a point in time — typically as healthy, at-risk, or critical. The classification combines qualification completeness (MEDDIC, MEDDPICC, BANT, or SPICED gap analysis), stakeholder coverage (presence of economic buyer, champion, blocker), conversational red flags (uncovered objections, vague commitments, deferred decisions), and time-in-stage relative to historical norms.
Sales managers run pipeline reviews to identify deals that need help, but with 50–100 active opportunities and 30 minutes per review, the gut-feel triage misses two-thirds of the at-risk deals. Deal health scoring runs the same diagnostic on every deal continuously: which deals lack a confirmed economic buyer, which have an unanswered objection from three calls ago, which are stuck in stage 4 longer than your historical average. SMB and mid-market sales teams use deal health to drive their weekly pipeline meeting, to flag deals before they ghost, and to prioritize coaching time on the at-risk deals that are still rescuable rather than the critical ones that already slipped.
CallBricks computes deal health on every deal continuously, surfacing a healthy / at-risk / critical label plus the specific gap (e.g., "no economic buyer surfaced in last 4 touchpoints," "objection on integration timeline raised on 2026-03-12 not addressed").
CallBricks helps agencies apply these concepts with real data from their sales calls. Start mining your call archive today.