Revenue Architecture · Self-Assessment · Diagnostic

The Lead-to-Order Architecture Audit: 12 Questions That Reveal Your Revenue System

In 10 minutes, you will know exactly where your commercial architecture is designed, where it is accidental, and where it is missing entirely. Most companies between $10M and $50M ARR score 6 to 12 out of 24.

Michael Williamson Lead-to-Order Architect · TechGrowth Insights 10 min read

You do not need a consultant to find out whether your commercial architecture is working. You need 12 questions and honest answers.

What follows is the condensed version of the diagnostic used at O2, Vodafone, Symantec and Equifax — adapted as a self-assessment you can complete in 10 minutes. By the time you finish, you will have a clear picture of which components of your lead-to-order architecture are designed, which are partially in place, and which are missing entirely.

The gap between your score and 24 is the architecture work that would move your forecast accuracy, win rate, NRR and board meeting quality. Grab a pen.

How to Score Each Question

0 Not in place. This component does not exist in any formal way.

1 Partially in place. Exists informally, is inconsistently applied, or is understood by some but not documented.

2 Fully designed. Documented, accessible to every commercial team member, and reflected in your CRM configuration.

Be honest. A score of 8 that reflects reality is more useful than a score of 18 that does not.

Section 1 — Pipeline & Qualification (Q1–Q4)

Q1 — ICP Documentation

Is your Ideal Customer Profile documented with specific, measurable criteria — firmographic, technographic, situational — that every rep would describe consistently if asked independently?

Score 0 The ICP is understood by the founder but never formally documented.

Score 1 A written ICP exists but uses broad descriptions ("mid-market technology companies") rather than measurable criteria.

Score 2 Documented ICP with specific criteria every rep can access and apply, reflected in CRM qualification fields.

Q2 — Pipeline Stage Exit Criteria

Does every pipeline stage have a written exit criterion — a specific buyer condition that must be true before a deal can advance?

Score 0 Stages are defined by activity (demo booked, proposal sent) rather than buyer status.

Score 1 Some stages have informal exit criteria applied inconsistently — not written or enforced in the CRM.

Score 2 Every stage has written exit criteria accessible to every rep, and the CRM requires confirmation before advancement.

Q3 — Shared Qualification Standard

Have marketing and sales formally agreed — in the same room, in writing — on what "qualified" means at MQL, SAL and SQL?

Score 0 The definition is informal and contested. Marketing and sales regularly disagree about lead quality.

Score 1 A general understanding exists but it is not formally written. Handoff criteria vary depending on who is managing the process.

Score 2 Written definitions with specific evidence criteria for each transition, agreed by both teams, enforced in CRM and marketing automation.

Q4 — Pre-Sales Engagement Criteria

Are there formal, documented criteria that must be met before pre-sales or solutions engineering is deployed on a deal?

Score 0 Pre-sales is deployed based on rep request — no formal criteria.

Score 1 Informal guidelines exist but are inconsistently applied. Some deals get pre-sales too early, others too late.

Score 2 Documented engagement criteria written into the stage definitions, with verifiable buyer signals required before pre-sales is deployed.

Section 2 — Commercial Governance (Q5–Q7)

Q5 — Proposal Architecture

Is there a documented proposal structure every rep follows — with content requirements, value framing, pricing presentation and an approval process for non-standard terms?

Score 0 Proposals are created individually. Quality varies significantly by rep.

Score 1 A template exists but is not consistently followed. Non-standard terms are approved informally.

Score 2 Documented proposal architecture with structure, value framing, success criteria alignment, and a clear approval process.

Q6 — Pricing Governance

Is there a written pricing governance document specifying who can approve what level of discount, at what deal size, with an escalation path for exceptions?

Score 0 Discount decisions are made deal-by-deal through informal conversations.

Score 1 Informal understanding of discount authority. Inconsistently applied. Exceptions are routine.

Score 2 Written pricing governance with discount authority by deal size and rep level, escalation path, and reporting for all discounted deals.

Halfway through. What is your score so far?

If you are at 4 or below out of 12, you are in the majority. This audit covers 12 questions. The Lead-to-Order Benchmark covers 55 data points — scored against sector peers, with a prioritised roadmap for closing the gaps that carry the highest commercial cost.

The study normally costs $695. It is currently available at no cost.

Get the free benchmark study →

Q7 — Forecast Process

Is your revenue forecast produced systematically from pipeline stage criteria — or assembled from the CRO's personal assessment of the top deals?

Score 0 The forecast is the CRO's personal estimate, assembled from conversations with reps.

Score 1 Uses pipeline data but applies rough weighting by stage without consistent exit criteria underlying placement.

Score 2 Produced systematically from pipeline data where stage placement reflects verified buyer exit criteria. The system generates the forecast — leadership does not assemble it.

Section 3 — Post-Sale Architecture (Q8–Q10)

Q8 — Sales-to-CS Handoff Protocol

Is there a written handoff protocol specifying exactly what information transfers to Customer Success at close — success criteria, commitments, configuration, timeline, key relationships?

Score 0 Handoff is an informal introduction — a calendar invite and a brief conversation.

Score 1 A template exists but is inconsistently used. CS regularly starts without full context of what was promised.

Score 2 Written protocol with a required information set, completed for every deal, accessible in the CRM immediately at close.

Q9 — Expansion Motion

Is there a documented expansion process with trigger criteria, a qualification framework, and defined ownership between CS and Sales?

Score 0 Expansion is identified by individual CSMs when they notice it. No systematic process.

Score 1 Some expansion conversations happen but they are relationship-dependent, not system-generated.

Score 2 Documented expansion motion with specific triggers (usage thresholds, adoption milestones, contract anniversary), qualification framework, and defined CS-to-Sales handoff.

Q10 — Renewal Architecture

Does your renewal process begin 90 days before contract anniversary, with written at-risk criteria, escalation paths, and clear ownership at every risk level?

Score 0 Renewals are managed reactively — CS contacts the customer near the date and hopes it goes well.

Score 1 Awareness of upcoming renewals but the process begins too late (30 days or fewer). At-risk criteria are informal.

Score 2 Documented renewal architecture beginning 90 days prior, with written at-risk criteria, defined escalation, and clear ownership for every scenario.

Section 4 — System Instrumentation (Q11–Q12)

Q11 — RevOps Metrics Design

Has your company formally defined the metrics that measure architecture health — distinguishing leading indicators (conversion rates, deal velocity) from lagging ones (win rate, NRR, forecast accuracy)?

Score 0 Metrics are produced reactively when someone asks. No designed metric set.

Score 1 Metrics exist but are not formally designed. Some are automatic, others require manual assembly. Leading vs lagging distinction has never been made explicit.

Score 2 Formally designed metric set with assigned owners and update frequency. Leading indicators monitored weekly, lagging indicators quarterly. All produced automatically.

Q12 — Board Metrics Production

Are the five primary board metrics — forecast accuracy, stage conversion, win rate by ICP tier, NRR by cohort, CAC payback by channel — produced automatically, or manually assembled for each board meeting?

Score 0 Board metrics are assembled manually over multiple days each quarter with significant reconciliation required.

Score 1 Some board metrics are automatic. Others require manual work. Data sometimes requires explanation in the meeting itself.

Score 2 All five primary board metrics are continuous outputs of the revenue system. No material manual assembly required. Data is consistent and audit-ready.

Score 0–8

Founder-Led System

Your commercial architecture runs on founder intuition and informal practice. It works because the people who built it understand it — but it does not transfer to hired commercial leaders, and it does not produce reliable metrics for the board. Every growth plateau is an architecture problem waiting to be recognised.

Priority: pipeline stage design and ICP documentation. These have the highest leverage on every other metric.

Score 9–16

Emerging Architecture

The bones are in place. Some components are designed. Others are partially built or informally applied. The gaps are visible in forecast variance, CRM adoption, the sales-marketing lead quality argument, and RevOps time spent on manual data work.

Priority: identify which specific components are at 0 or 1, and sequence the design work by commercial impact.

Score 17–24

Designed System

The foundation is in place. Your forecast is defensible. Your board metrics are produced structurally. The next moves are optimisation and AI augmentation — deploying AI tools on top of a designed process that can use them to produce reliable outputs.

Priority: complete any components at 1, then evaluate which AI investments are viable given your data quality.

You just scored yourself on 12 questions. The full benchmark scores you across 55.

This audit gives you a directional picture. The Lead-to-Order Benchmark gives you the complete one: 55 data points, scored against sector peers, with a prioritised roadmap that shows exactly which gaps carry the highest commercial cost and what to fix first.

It is the same diagnostic framework used at O2, Vodafone, Symantec and Equifax. Companies between $10M and $50M ARR typically identify four to six specific architecture gaps in the first assessment. Addressing two of those gaps — pipeline stage design and either the expansion motion or the renewal architecture — typically moves forecast accuracy by 15–20 percentage points and NRR by 5–10 points within two full quarters.

The study normally costs $695. Right now, it is free.

The Lead-to-Order Architecture Audit: 12 Questions That Reveal Your Revenue System

The Lead-to-Order Architecture Audit: 12 Questions That Reveal Your Revenue System

Q1 — ICP Documentation

Q2 — Pipeline Stage Exit Criteria

Q3 — Shared Qualification Standard

Q4 — Pre-Sales Engagement Criteria

Q5 — Proposal Architecture

Q6 — Pricing Governance

Q7 — Forecast Process

Q8 — Sales-to-CS Handoff Protocol

Q9 — Expansion Motion

Q10 — Renewal Architecture

Q11 — RevOps Metrics Design

Q12 — Board Metrics Production

Founder-Led System

Emerging Architecture

Designed System

You scored yourself on 12 questions. The full benchmark scores you across 55.

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