The 90-Day Commercial Operating Model Diagnostic

Your commercial operating model is a system. Like any system, it has components that are working and components that are broken. The problem is that a broken commercial model often looks like a personnel problem, a market problem, or a product problem until you inspect the actual mechanisms.

This checklist gives you a 90-day diagnostic framework to identify exactly which components of your commercial operating model are failing and what to do about each one.

What You're Paying For It

Commercial model failures have a signature cost pattern that shows up in four financial metrics before it shows up anywhere else.

Average selling price decline is first. When your commercial model lacks pricing governance, ASP drifts down quarter over quarter as reps optimize for closed revenue rather than profitable revenue. A 10-point ASP decline at $35M annual recurring revenue (ARR) represents $3.5M in annual revenue at equivalent volume.

Customer acquisition cost payback extension is second. When your ideal customer profile (ICP) is vague, your marketing spend reaches buyers who do not convert, or converts buyers who churn. A customer acquisition cost (CAC) payback period above 24 months at sub-$50K annual contract value (ACV) is a reliable indicator of commercial model misalignment.

Gross revenue retention below 85% is third. Gross retention below 85% means you are losing more than 15% of existing customer revenue annually to churn and contraction. Most of that loss is preventable with the right commercial model design because it is caused by selling to the wrong customers, not by product failure.

Sales team attrition above 25% annually is fourth. When the model is misaligned, high-performing reps leave because they can see the structural dysfunction and they do not want to work against the model for another 12 months. Their departure removes the institutional knowledge that was compensating for the model's gaps.

The Operating Play

Each layer of this diagnostic corresponds to a specific component of the commercial operating model.

Layer 1: Pricing architecture audit. Identify your current value metric. If you do not have one, that is your finding. A value metric is the unit of usage or outcome that scales with customer value: seats, transactions, revenue processed, data volumes. If your pricing is flat regardless of usage, you are leaving expansion revenue uncaptured. Test: look at your top 20 accounts by ARR. What has changed about their usage in the past 12 months? Is your pricing capturing any of that growth?

Layer 2: Compensation plan alignment. Write down the three behaviors your commercial model most needs from account executives. Now look at your comp plan. Does it reward those behaviors or does it reward something else? Most SaaS comp plans reward new ARR closed. Most commercial models also need reps to qualify rigorously, to avoid deep discounting, and to close customers with high expansion potential. If your comp plan only rewards closing, it is creating pressure to do the opposite of the other three.

Layer 3: Deal desk governance. How many deals in the last quarter closed with a discount above 15%? For each one, who approved the discount and what documentation was required? If the answer is "the rep's manager approved it verbally," your deal desk is not functioning as governance. It is functioning as a rubber stamp. Set a specific discount threshold, require written justification above it, and track exceptions quarterly.

Layer 4: ICP definition consistency. Ask your VP of Sales, VP of Marketing, and your most senior sales development representative (SDR) to each write down three criteria that automatically disqualify a prospect. Compare the lists. If they share fewer than two criteria, your qualification standards are not consistent. Inconsistent qualification produces inconsistent pipeline quality, which produces inconsistent close rates, which makes it impossible to forecast with confidence.

Layer 5: Metrics coherence. Map every dashboard used by your commercial team. Identify whether any two teams share a metric. Shared metrics create shared accountability. If sales is only measured on bookings, marketing on MQLs, and customer success (CS) on Net Promoter Score (NPS), none of them has an incentive to optimize for the same outcome. Introduce one shared metric at the next leadership quarterly business review (QBR).

The Hidden Failure

A vertical SaaS company in the legal tech space ran this diagnostic after two consecutive quarters of missing their bookings plan by 20% or more. They had assumed the problem was their demand generation volume.

Layer 2 of the diagnostic revealed the actual problem. Their comp plan paid a flat 8% commission on all new ARR regardless of deal size. A rep closing a $6K ACV deal with a 90-day cycle earned the same commission rate as a rep closing a $60K ACV deal with a 6-month cycle. The rational response was to close high-volume low-ACV deals quickly. That is exactly what the team was doing.

Their pipeline was full of $4K to $8K ACV deals that were perfectly on-ICP in terms of industry and company size, but that churned at 67% in the first year because companies that small did not have enough use cases to extract value from the product. The commercial model was selecting for the wrong customers because the comp plan made them the rational choice for reps.

Restructuring the comp plan with a minimum ACV threshold and an ACV-weighted commission rate took three weeks. Within two quarters, average ACV increased from $9K to $17K and first-year churn dropped from 67% to 38%.

Start Here This Week

Run Layer 2. Write down the three behaviors your commercial model most needs from reps. Then open your comp plan and check whether the plan rewards those behaviors. This takes less than an hour and almost always surfaces at least one material misalignment.

Assess Your Commercial Health for a structured view of your commercial model across all five layers.

For the structural context behind what a well-designed commercial model looks like before you start diagnosing, the post on hypothesis-led commercial operating model design covers the foundational architecture.

Teams in PE-backed (private equity) environments who need to frame diagnostic findings for an investment committee will find the operator-specific framing in the operator's guide to commercial operating model most useful.