Deal desk operating model
Most deal desks start as one finance analyst who approves discounts in chat, and within a year they are the bottleneck everyone blames for slipped deals. The problem is not the people. It is that nobody wrote down what the desk owns, what triggers a review, and how fast it has to answer. This operating model defines those things before the queue forms.
Download it
What you get
- A one-page charter: mission, what the desk owns, what it does not, and who it reports to
- Intake triggers that decide which deals need the desk and which go straight through
- A staffing model with roles, responsibilities, and a volume-based rule of thumb
- SLAs by request type, plus an escalation path when an SLA is missed
- A metrics table with definitions and formulas for cycle time, first-pass rate, and discount trends
Who it's for
- RevOps and finance leaders standing up a deal desk
- Deal desk managers formalizing scope and SLAs
- Sales leaders who want non-standard deals decided faster
What's inside
7 sections, each listed with its own size. The first is previewed below; the remaining 6 come with the download, with blank rows ready to fill in.
| Section | Size | Previewed |
|---|---|---|
| Charter | 6 fields to complete | Below |
| Intake triggers | 4 columns, 6 worked example rows | In the download |
| Staffing model | 4 columns, 4 worked example rows | In the download |
| SLAs and escalation | 4 columns, 5 worked example rows | In the download |
| Metrics | 4 columns, 6 worked example rows | In the download |
| Launch checklist | 9-point checklist | In the download |
| Why deal desks turn into bottlenecks | Guidance notes | In the download |
Preview of section 1
Charter
- Mission
- e.g. Get non-standard deals to a fast, consistent decision that protects margin, cash, and renewal terms
- Reports to
- e.g. VP RevOps, with a dotted line to the controller
- In scope
- e.g. Non-standard pricing, deal structure, payment terms, order form review, booking accuracy
How to use it
1. Write what the desk does not own
The out-of-scope list matters more than the in-scope one. If the desk does not own pricing strategy, contract drafting, or forecast calls, say so, or it will slowly absorb all three.
2. Set triggers so most deals skip the desk
A deal desk that reviews every quote is a toll booth. Set triggers so standard deals inside the discount matrix go straight to signature, and the desk spends its time on the deals that are actually non-standard.
3. Staff for the last two weeks of the quarter
Request volume is not flat. Look at how many non-standard requests landed in the final two weeks of recent quarters and staff (or arrange backup) for that peak, not the monthly average.
4. Measure the desk on speed and quality together
Report median cycle time and first-pass approval rate side by side. A desk measured only on speed approves everything; one measured only on discount control blocks everything.
5. Review the charter every two quarters
Check which triggers fired most, where SLAs were missed, and which request types could be pushed down to self-approval. The desk should get lighter over time, not heavier.
Frequently asked questions
What does a deal desk do?
It reviews and structures non-standard deals: discounts above a threshold, unusual payment terms, custom pricing, and non-standard contract terms. It routes each request to the right approver, enforces SLAs, and checks the order is booked correctly.
Who should a deal desk report to?
Usually RevOps or finance. RevOps keeps it close to the sales process; finance keeps it close to margin and billing. Pick one reporting line and give the other a formal review role.
When does a company need a deal desk?
When non-standard deals are frequent enough that approvals are inconsistent or slow, or when booking and billing errors start showing up after signature. One person handling it part time is a reasonable start.
What SLAs should a deal desk have?
Set them by request type, starting the clock when the request is complete. Routine discount approvals within the same business day and legal redlines within a few days are common starting points. Adjust to your own data.