Qualification criteria
Stage definitions written for a smaller company stop matching the deals being run. Nothing announces it. The rule simply stops being applied.
Software & Technology
Your pipeline grew with ARR. Your stage rules did not.
Revenue leakage in B2B SaaS starts when ARR grows faster than the stage rules, handoffs and forecast that carry it. The gap between those two speeds is where the profit leaks.
Sector read
ARR outran the rules that qualify it.
Monday, half past nine, in a company like this. Last week's question opens the forecast review: which of the eleven deals in Commit are real. Three moved there on Friday because the stage was due to change, not because the deal did. The CRM says qualified. The rep says probably. Nobody can name the rule the word was applied by, because it was written two growth stages ago and never reopened.
That call is the symptom. Under it, each new hire got a step in the process and nobody got the handover; a private forecast runs beside the official one because the official one cannot be trusted; a new dashboard replaced the definition that broke. None of it has a budget line. All of it is a cost.
Where revenue outruns the system
Inflated Commit is the symptom, not the cause.
Pipeline inflation is what the board sees. The rule that produced it sits two layers down, and the cost lands in the forecast.
- 01 · Surface · what gets reported
Pipeline inflation
Deals sit in Commit long after they should have moved.
- 02 · Structure · what produces it
Rules inherited
The rules for a good deal were copied from the growth stage before this one.
- 03 · System · where it breaks
Stage exits stop being enforced
The gate exists in the CRM but nothing depends on clearing it.
- 04 · Consequence · what it costs
A forecast nobody believes
A private number replaces the official one, and the gap between them is never priced.
The cause and the cost rarely show up in the same place.
What the Diagnosis reads here
The stage history, read against what reps say.
Two months in your CRM, your comp plan and your forecast call. Every stage exit is checked against what the rep who moved the deal says happened.
- Closers and qualifiers by tenure
- Marketing and customer success
- RevOps and the forecast owner
- CRM stage history
- Win-loss notes
- Pricing, packaging and expansion
Software forgets as fast as it grows; the leak is sharpest at the scale-up stage, when qualifying splits from closing and the rule has to be written down for the first time.
What tends to break first
First the rule, then the forecast, then your week.
Fast growth hides the order in which things fail. The part built for speed wears out first, and it is the part nobody is watching.
Stage exits
A stage exit becomes a reporting step, not a test. The deal moves because the week ended, not because a condition was met.
Forecast reliability
Once the first two have gone, Commit describes a pipeline nobody filtered. Coverage looks healthy on paper and the quarter still misses.
Management attention
The CRO and the VPs spend the week re-inspecting deals one by one. That holds the number up without fixing what produced it. The senior hours are the first cost you could price today.
The evidence
The benchmarks on speed, and on its price.
Four figures from ICONIQ's two benchmark series, each about the system your ARR runs through. Yours comes from your stage history and your payroll, not from a median.
- 01
40% of new ARR
The median share of total new ARR that came from existing customers in 2024, up five points in a year: two fifths of growth now runs through a handoff to customer success that most stage rules were never written for.
Benchmarkit, 2025 B2B SaaS Performance Metrics Benchmarks, expansion ARR contribution to total new ARR, N=81, 2024 actuals, p. 37
- 02
46 / 28 / 16 / 10
How a software go-to-market team is staffed in 2025: 46% of GTM headcount in sales, 28% in post-sales, 16% in marketing and 10% in revenue operations; every boundary between those four is a handoff somebody has to own.
ICONIQ, State of Software 2025, distribution of GTM FTEs at non-AI-native SaaS companies, 2025 projected, survey of GTM executives, September 2025, slide 44
- 03
39% against 33%
Sales and marketing as a share of operating spend at companies selling to SMB and mid-market against those selling to mid-market and enterprise, on the slide's own bars: the longer the cycle, the smaller the share, which is the opposite of what the ramp plan usually assumes.
ICONIQ, State of Software 2025, average OpEx distribution by primary customer target, N=404 and 981 company-quarters, quarterly data 2013 to Q2 2025, September 2025, slide 68
- 04
28%, 30%, 28%
Average conversion in 2026 from new lead to MQL, MQL to SQL and SQL to closed-won, each up three points on 2025, with demo to closed-won at 38% and proof of concept to paid at 50%: three gates in a row that each pass fewer than a third, and the rule at each one was written by a different team.
ICONIQ, The State of Go-to-Market in 2026, survey of GTM executives at 150+ B2B software companies, N=147 for 2026 and 167 for 2025, March 2026, slide 19
What happens next
The Diagnosis first, with two options around it.
Diagnosis
€15,000 flat · two months from the day we get access
Reps, RevOps and customer success interviewed; the stage history read beside what they say. It ends in what the inflated Commit costs at your own salaries, and which rule to rewrite first.
Book a strategy callDetails →Operation
€50,000 more within 30 days of the Diagnosis briefing · €65,000 with it included
Nine months of fixes made with your sales and RevOps leads, each owned and dated, the forecast measured against the starting figure.
Explore Operation →Executive Workshop
Three hours for up to ten people who can change the stage rules, one problem agreed before anyone opens the CRM. €5,000, credited in full against a Diagnosis or an Operation booked within 30 days.
Explore the Workshop → FAQ
Before you assume this does not apply yet.
We just raised a round and are hiring fast, is this too early?
If the sales motion already repeats, fast hiring is when old qualification rules cost most: the same mistake is now made by more people at once. If you are still finding the motion, you are closer to pre-PMF, where a Diagnosis does not fit yet.
NRR and churn are fine, does that mean the rest is?
Not on its own. Keeping customers and winning them fail separately. A healthy NRR can sit beside a Commit nobody trusts, or beside stage rules that lose deals before they are ever logged.
Do you need access to our product usage data, or just the CRM?
CRM and pipeline history first, with the interviews. Product usage data matters in some cases, and whether it does is agreed on the first call rather than assumed.
We are product-led with a small sales-assist team, does this fit?
It depends on how much ARR that team carries. What the Diagnosis needs is a sales motion with enough history to read, whatever share of bookings it brings in.
Get started
Growing fast had a price. Put a figure on it.
Thirty minutes on the Monday call, the stage rules and when the records stopped matching them. If a pattern repeats, the next step is named before you hang up.