Most RevOps engagements start slowly. Not because the consultant doesn’t know what they’re doing — but because the first two or three weeks are spent figuring out the current state before any actual improvement work can begin.
You pay for that diagnostic time. And a lot of it is avoidable.
If you run a self-audit before the engagement starts, two things happen: the consultant can get to work faster, and you get a clearer sense of where your biggest problems actually are — which helps you brief the engagement properly rather than just saying “sort out our revenue operations.”
Here are the five areas to cover.
1. CRM Accuracy: What Percentage of Deals Are Correctly Staged?
Pick your live pipeline. Go through every open deal and ask one question: is this deal actually at the stage it’s marked at?
Stage accuracy means the deal is there because the qualifying evidence for that stage exists — not because a rep moved it forward out of optimism or because nobody’s touched it in six weeks and it hasn’t been cleaned up. The criteria for moving a deal from stage 3 to stage 4 should be documented and consistent. If they’re not, you’ll have the same deal at different stages depending on which rep owns it.
What good looks like: At least 80% of live deals are accurately staged based on verifiable evidence. Stage definitions are written down and applied consistently.
What the data tells you: If you’re below 60%, you have a CRM hygiene problem that will poison everything downstream — forecasts, conversion analysis, pipeline reviews. This is usually the first thing a RevOps engagement needs to fix. If you’re at 80%+, the CRM is a usable foundation and the work can focus on what to build on top of it.
2. Pipeline Coverage: What’s Your Coverage Ratio?
Pipeline coverage is the ratio of your total pipeline value to your quarterly revenue target. If your Q2 target is £500,000 and your pipeline contains £1,500,000 of live deals, your coverage ratio is 3x.
The commonly cited benchmark for B2B SaaS is 3–4x. The right number for your business depends on your win rate and average sales cycle — but coverage below 2.5x going into a quarter is a red flag that you’re likely to miss target regardless of execution quality.
What good looks like: 3x minimum going into any quarter. Consistent tracking of coverage ratio over time so you can spot the trend — is it improving, declining, or flat?
What the data tells you: If your coverage is consistently below 3x, the problem is usually top-of-funnel volume rather than conversion. If coverage is high (5x+) but you’re still missing targets, the problem is usually deal quality — too many deals in the pipeline that have no realistic chance of closing. Both are solvable, but the solution is different. Knowing which problem you have before the engagement starts means you can brief it properly.
3. Conversion Data: Do You Know Your Stage-to-Stage Conversion Rates?
If I ask you what percentage of deals that enter Stage 3 (proposal sent, or whatever your equivalent is) go on to close, can you tell me?
Most founders can’t. They have a rough sense that “roughly half of things we quote we win,” but they don’t have a clean number, and they don’t know which stage represents the biggest drop-off in their pipeline.
Stage conversion rates are one of the most useful diagnostic tools in RevOps. If 70% of deals stall between Stage 2 and Stage 3, that’s a qualification problem — deals are getting through discovery without the right evidence of fit or authority. If 60% stall between Stage 4 and Stage 5, that’s a closing problem — something is breaking down at the point of commercial decision. The location of the drop tells you where to focus.
What good looks like: You can quote conversion rates at each stage, even approximately. You know which stage has the biggest fall-off. You have at least 12 months of deal history in your CRM to work with.
What the data tells you: If you can’t produce this analysis, it’s usually a sign that CRM data quality is the primary problem. The conversion analysis is only meaningful if the stage data is accurate — which loops back to point one.
4. Process Documentation: Is Your Sales Process Written Down Anywhere?
Not a 50-page methodology document. Literally just: is there a written description of how a deal moves from first contact to closed?
Most early-stage B2B companies run entirely on tribal knowledge. The founder knows how deals work because they’ve done all of them. Reps, if there are any, have been taught informally and apply the process inconsistently. There’s no playbook, no written objection-handling guide, no documented qualification criteria.
This matters for RevOps because the consultant’s job is partly to formalise what’s working and systematise it. But if there’s no documentation at all, the first part of the engagement becomes an archaeology project — interviewing the founder, reviewing call recordings, reading email threads — to reconstruct a process that exists only in someone’s head. That takes time and costs money.
What good looks like: A basic sales process document exists — even a Google Doc or Notion page — that describes the stages, the criteria for moving between them, the key questions to ask at each stage, and the common objections and how to handle them.
What the data tells you: If nothing is written down, document it before the engagement starts. One afternoon of the founder writing down “how I sell” will save days of consultant time. It will also surface assumptions that the founder didn’t know they were making.
5. Team Alignment: Do Sales and Marketing Agree on What a Qualified Lead Is?
This one causes more revenue leakage than almost anything else, and it’s almost never talked about honestly.
Ask your sales team what a qualified lead looks like. Then ask marketing. In most businesses, you’ll get different answers. Sales will say marketing sends them junk. Marketing will say sales doesn’t follow up properly. Both will be partly right.
What good looks like: There is a written definition of a Marketing Qualified Lead (MQL) and a Sales Qualified Lead (SQL). Both teams have agreed on it. Marketing targets their campaigns and lead scoring to the MQL definition. Sales qualifies against the SQL definition before adding a lead to their pipeline. The handoff between the two is documented.
What the data tells you: If this definition doesn’t exist or hasn’t been agreed formally, you have an alignment gap that will undermine whatever pipeline and conversion improvements you make. Fixing CRM hygiene and stage definitions while the lead handoff process remains broken is like cleaning one half of a leaky bucket.
Running the Audit
Go through these five areas and score yourself honestly:
- CRM accuracy: what % of deals are correctly staged?
- Pipeline coverage: what’s your coverage ratio?
- Conversion data: can you produce stage conversion rates?
- Process documentation: is the sales process written down?
- Team alignment: is there a written MQL/SQL definition?
Where you’re weak, that’s where the RevOps work needs to start. Where you’re strong, the consultant can build rather than fix.
Bring this diagnostic to the first conversation. A good RevOps consultant will use it to scope the engagement more precisely — which means you’ll get a more accurate proposal, a faster start, and a clearer picture of what the first 90 days will produce.
If you want to understand what a RevOps engagement actually involves before you start, the guide to what RevOps actually means is worth reading first. And if your CRM accuracy is below 60%, the breakdown of why CRM data goes wrong and how to fix it will give you a clear starting point before the conversation with a consultant begins. When you’re ready to talk, the Discovery Week is how I start most engagements — a focused diagnostic that produces a clear picture of where your revenue function stands and what to do about it. You can get in touch here.