The forecast is a negotiation, not a model
Commit numbers are produced by discussion and sandbagging rather than stage-exit evidence. The board hears a number whose error nobody can characterize.
GTM engineering is go-to-market treated as an instrumented system rather than a collection of departments and campaigns. For the revenue office at a $10M–$70M company that means revenue architecture that reconciles to the P&L: ICP and territory design, funnel math with stage-exit criteria, pricing governance, and a win/loss loop that makes the system self-correcting.
The recurring failures Executive Advisory Systems is built to answer in the office of the cro.
Commit numbers are produced by discussion and sandbagging rather than stage-exit evidence. The board hears a number whose error nobody can characterize.
The largest deals still close in one person's calendar. Revenue capacity is capped by an individual's availability, and the motion cannot be taught because it was never made explicit.
The volume playbook stopped working and the dashboard has not noticed. Coverage ratios look healthy while conversion quietly degrades, because quantity is instrumented and quality is not.
Deals die in stages three and four, and the CRM records everything except why. Without structured loss reasons there is no feedback loop, so the same deals die the same way next quarter.
Every deal is bespoke and margin leaks at the contract line. Discount authority is informal, exceptions are unlogged, and the realized price is discovered in the month-end close.
Marketing, sales, and customer success run separate systems with separate definitions of the same funnel. Handoffs lose information and each team is measured on a number the others do not recognize.
Four layers, built bottom-up and consumed top-down. The governed data layer comes first: an expert system on unreconciled data is a faster way to be confidently wrong.
ICP definition, segment and territory design, funnel math with explicit stage-exit criteria, and signal capture honest enough to survive a CFO's scrutiny. Marketing, sales, and customer success run as one instrumented pipeline.
A weekly pipeline and forecast cadence with defined inspection, a KPI tree tying activity to bookings and cash, and the standing rituals where commitments are made against evidence.
Forecast models, deal scoring, and win/loss analysis with human review gates. Recommendations a revenue leader can defend, with the reasoning attached.
A senior revenue operator inside the cadence who builds the architecture, runs it in live quarters, then certifies the client's team to run it without them.
Four phases. The client keeps the systems, the playbooks, and the data.
Instrument reality: where the data actually lives, which numbers reconcile, how decisions really get made. Output is a systems map, a problem ledger with costs attached, and a sequenced build plan.
Stand up the governed data layer, build the first expert systems and their review gates, and install the operating cadence. The advisor operates inside the cadence from day one.
The system runs the function's real rhythm. Your operators progressively take the controls; the advisor shifts from driving to reviewing.
Playbooks documented, operators certified on the gates, model review handed to named owners. You keep the capability, the code, the data, and the documentation.
Success is measured in your numbers, not consulting artifacts: days to close, forecast error, cash visibility, pipeline reconciled to the P&L, margin recovered. And your team running the system without us.
Each office is one seat in the same operating system. The offices share one data layer, one cadence, and one set of playbooks.
A diagnostic runs two to six weeks and ends with a systems map, a problem ledger with costs attached, and a sequenced build plan. Start with a conversation about the office of the cro.