Execution gap is real, says enablement leader
Mike Kunkle warned that lack of a buyer‑aligned process and consistent coaching creates an 'execution gap' that can cost millions for complex B2B sellers—his thread lays out why playbooks must match the buyer journey argued. That’s a direct call to tighten stage gating and coaching cadences in hardware sales motions.
Mike Kunkle’s formal enablement framework names 12 “building blocks” — including buyer‑aligned process and manager coaching cadence — as the structural fixes for the execution gap. td.org AMD standardized seller activity capture and reduced manual CRM entry by 75–85% after deploying a revenue‑intelligence layer to enforce stage hygiene and surface deal signals. people.ai Cisco couples advanced historical analytics with a cross‑functional consensus forecast process that reconciles bookings, demand, and finance inputs for enterprise hardware bets. cdn.featuredcustomers.com Tactical CRM automation that hardware GTM teams use includes auto‑creating prescriptive tasks on stage transitions, blocking stage advancement until required engineering approvals or RFIs are attached, and writing SLAs to route technical owners — practices outlined in recent Salesforce/Sales Ops automation playbooks. isitdev.com Outreach‑style deal‑health scoring that ingests emails, meetings, and stage activity is used to flag at‑risk infrastructure deals weeks before Q‑end. support.outreach.io Forecasting for multi‑stakeholder, 6–12 month hardware deals still starts with a weighted‑pipeline model (deal value × stage probability) as the baseline, supplemented by composite models that blend historical close rates, account engagement signals, and AI predictions. forecastio.ai Vendors and RevOps blogs report pilot gains from AI‑assisted forecasting, with some case studies and vendor claims showing forecast accuracy lifts into the 90s in controlled deployments. marketsandmarkets.com Dashboard best practice for long cycles: separate leading indicators (Lead Velocity Rate, active stakeholder count, activity per opportunity, time in stage, completion of technical milestones) from lagging KPIs (win rate, ARR booked), use product/segment filters, and set age limits per stage to prevent pipeline padding — a pattern repeated across modern pipeline playbooks. forecastio.ai Operationalizing tighter stage gating and coaching requires a weekly forecast cadence plus a monthly S&OP sync, structured deal review templates that require three next‑steps and an engineering sign‑off date, and manager coaching scorecards tied to forecast variance targets (enterprise targets often aim for ±10% accuracy). mysalescoach.com
