The motion that opened one growth stage rarely survives the next.
B2B software companies move through growth stages faster than most sectors, and the commercial system rarely gets rebuilt as quickly as the revenue number does. Fast stage transitions and short memory are the pattern here, whether the product is horizontal SaaS, vertical software built for one industry, or an enterprise platform. IT services teams selling delivery capacity around that software carry the same pattern at a different pace.
Where the dysfunction usually shows up first.
The system usually breaks before anyone has time to notice which part broke first. Three places it tends to surface.
Qualification inherited, not redesigned
MEDDIC or BANT fields get copied from the ICP that fit the last segment, and nobody revalidates them against what the new segment actually buys on. The forecast starts drifting before anyone traces the drift back to the framework itself.
Pipeline inflation
Stage-exit criteria stop being enforced, so a deal sits in Commit past the point it honestly belongs there because nobody wants to be the one reporting the miss. The pipeline number stops describing the pipeline.
A forecast leadership has quietly stopped believing
Once a forecast has been wrong enough times, leadership starts keeping a private shadow number instead of fixing what produces the official one. The shadow number becomes the real forecast, and nobody says so out loud.
Read the handoffs that speed and tooling can hide.
The dysfunction families do not change for Software and IT Services, and the diagnostic does not assume that territory, qualification, or forecasting carries the loss before the evidence is read. It compares how those systems changed across segments, products, and growth stages, then tests what the CRM says against what the field describes.
Interviews typically include AEs and SDRs across different tenure cohorts, RevOps, and whoever owns the forecast rollup. CRM stage-history and win-loss notes are compared against what reps describe happening on live calls, since the gap between the two is usually where an inherited qualification framework is hiding.
Before you assume this does not apply yet.
We just raised a round and are hiring fast, is this too early?
Our churn is fine, does that mean our commercial system is fine?
Do you need access to our product usage data, or just CRM?
We are self-serve with a small sales-assist motion, does this fit?
Three ways to keep going.
See what gets measured
The six families, the signals that reveal them, and how each one turns into cost.
Compare every sector
The same method read against five different commercial surfaces, sector by sector.
Find out where you sit
Ten questions, two minutes. A first read on which part of your system is carrying the most strain.
The motion changed as the company grew. What each transition cost is the number worth having.
One call, 30 minutes. We will review what is working, what is stalling, and where the cost is actually sitting. You will leave with a concrete next step, whether that is Kihon Labs or not.
Book a diagnostic call