SalesOps

WHAT IT IS SalesOps is the operational function that lets a sales team sell: keeping the pipeline an accurate representation of reality, maintaining CRM data quality, designing territories and quotas, supporting non-standard deals, producing the forecast, and removing administrative load from the people who are supposed to be in conversations. **Not this:** SalesOps is not RevOps: it owns the operation of the sales function — pipeline, CRM, territories, quota and deal support — rather than the revenue process spanning marketing, sales and customer success. WHY IT EXISTS Sales teams generate a large amount of administrative work as a side effect of selling, and every hour spent on it is an hour not spent selling. Worse, the data produced under that pressure is unreliable — stages advanced to look good, close dates moved rather than re-examined — and the forecast built on it misleads the whole company. SalesOps exists to make the administrative layer cheap enough to do properly and the resulting data honest enough to plan on. WHEN TO USE IT Adopt it when the forecast is unreliable, when representatives spend meaningful time on CRM administration, or when territory and quota discussions consume the start of each year. A handful of sellers can operate on shared judgment; past that, the informal system produces disputes rather than agreement. WHO OWNS IT A SalesOps function owns CRM configuration, process, territory and quota mechanics, and forecast production. Sales leadership owns the targets, the coverage model and the performance conversations. Individual sellers own the accuracy of their own pipeline — data quality enforced only by SalesOps chasing people never holds. Finance jointly owns quota and compensation mechanics, since compensation disputes are operational failures with unusually long memories. WHAT GOOD LOOKS LIKE Pipeline stages have exit criteria specific enough that two people would classify a deal the same way. CRM hygiene is maintained through validation and low-friction entry rather than reminders. Territories and quotas are designed with stated assumptions, communicated before the period starts, and not renegotiated mid-period without a recorded reason. Deal desk handles exceptions with a defined turnaround, so non-standard deals do not stall. Forecast accuracy is measured and reviewed, and the method changes when it is consistently wrong. HOW TO IMPLEMENT Write stage exit criteria and test them by having two managers classify the same ten deals. Reduce data entry cost before demanding data quality, because the order matters — requirements imposed on a painful system produce fiction. Score the forecast against outcomes and publish the score. Design territories with assumptions written down so next year's conversation starts from evidence. Keep the technology surface small; each added tool is another place the same customer exists twice. Where sales boundaries meet marketing and success, the process belongs to /revops. HOW TO ASSESS YOURSELF Ask two managers to stage the same deals and compare. Measure how long a seller spends in the CRM each week. Score the last four forecasts. Ask how long a non-standard deal waits for approval. Take the scored self-assessment at /assess and plan with /roadmaps.