You set quotas for a new sales team from deal math, because the usual input is missing. Established teams set quota by adjusting last year's attainment. A new team has no attainment curve, no ramp history, and no reliable productivity per rep. What it does have is a small set of closed deals, and that is enough to build a first number.
Start from the deal, not from the board number
Take three inputs from whatever selling has already happened, including founder-led deals. Average deal size, approximate win rate, and cycle length from first meeting to close. Those give you deals per rep per period at a workable opportunity load, and deals multiplied by average value is the quota.
A board target belongs in the same conversation, but as a constraint rather than as the source. When the bottom-up number lands well below the top-down target, the gap is a hiring, pricing, or timing problem to solve openly. Dividing the board number across heads and calling the result a quota moves the gap onto reps who cannot close it.
Build the ramp before the full number
New teams are ramping teams by definition, so the assigned quota in year one is mostly ramped quota. Set the ramp against your cycle length. A rep who needs six months to move a deal from first meeting to signature cannot carry a full quarterly number in month three, regardless of how strong they are.
Model the team's capacity in ramped rep equivalents rather than headcount, then check the total carryable quota against the plan. That comparison usually reveals that the year needs earlier hiring rather than higher quotas.
Expect the first version to be wrong
A first quota built from a dozen deals is an estimate with a wide error band. Treat it that way. Publish it, hold reps to it, and commit internally to recalibrating after two quarters instead of defending the original number.
ORM trains its forecast models on a company's own historical sales performance, and a fully trained model takes four to six weeks. The same dependency applies to quota setting without any software involved. The number improves once real transactions from your own reps exist, and it stays an estimate until then.
What to check at recalibration
Compare forecasted deal value to realized deal value, since early-stage pricing moves and the first quota often assumes a deal size the market will not pay. Compare planned cycle length to actual, because a longer cycle changes both the ramp and the coverage requirement. Then rebuild the quota from the updated inputs.
Ground the rebuild in your own conversion data using the approach in how to create a sales forecast, set the coverage requirement from your real win rate rather than a rule of thumb, and read the result against pipeline coverage by rep before you publish the second version.
Frequently Asked Questions
What do you use instead of attainment history?
Founder-led or early sales data. Even a dozen closed deals give you an average deal size, an approximate win rate, and a cycle length. Those three inputs produce a defensible first quota. Borrowing another company's productivity benchmark encodes their pricing and buying process rather than yours.
Should the first quota be set high or low?
Set it where a competent rep can reach it with strong execution. A first quota that most of the team misses tells you nothing about the reps and destroys the comp plan's credibility in the first year. You can raise a number that proves too easy. Recovering trust after a year of misses takes longer.
How long should the ramp be before full quota?
Tie it to your sales cycle rather than to a calendar convention. A rep cannot close what they have not had time to source and work, so full quota should start no earlier than one full cycle after their first day, plus onboarding time.
When do you recalibrate?
After two full quarters with reps carrying real numbers. At that point you have an attainment distribution, a real cycle length, and enough closed-won data to see whether the deal math held. Recalibrate the quota, the ramp schedule, and the coverage requirement together.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like how do you set quotas for a new sales team? into prescriptive action for your team.
Schedule a Demo