Solar Rep Ramp & Headcount Planner

The naive answer is your install target divided by installs per ramped rep, but that number is always too low for two reasons. New reps do not produce at full rate for their first months, so a portion of your headcount is always partially productive. And attrition removes reps continuously, so you need to hire enough to replace departures before any of your hiring adds net capacity. This planner models both as a monthly cohort simulation rather than a single division.

If you hire a fixed number of reps per month and lose a fixed percentage of your team per month, headcount converges to hires divided by the attrition rate, not to infinity. At 3 hires a month and 8% monthly attrition, the team stabilises around 37 reps no matter how long you wait, because at that size you are losing three a month. This is the most important and least intuitive result in the model: if the ceiling times installs-per-rep is below your target, more time will never get you there. You have to change the hire rate or the attrition rate.

Because cost is immediate and production is delayed. You pay a new rep's base, tooling, and leads from their first day, plus recruiting and onboarding cost, while they produce at a fraction of full rate for weeks or months. You also pay recruiting on hires who leave before contributing anything. That gap is the ramp trough, and it deepens the faster you hire. It is a normal cost of growth, but it needs to be funded deliberately.

Timing. The trough arrives at the same moment as a second cash demand: the deals those new reps are closing need materials bought before the lender funds them. So an org scaling headcount hits rising payroll and rising working-capital requirements in the same months, which is why growth phases are when cash-flow failures cluster. Modelling headcount cost without modelling the materials capital alongside it understates the requirement significantly.

No. They are neutral placeholders included so the tool opens with a usable scenario, and the tool labels them as such. Seamless Home does not publish solar rep ramp or attrition benchmarks. Both vary enormously by market maturity, sales channel, compensation structure, lead quality, and management, and any figure presented as an industry-standard solar attrition rate should be treated with suspicion. Use your own historical numbers.

It is a simplification and worth knowing about. Real ramp curves are usually S-shaped rather than linear, and real attrition is front-loaded. A disproportionate share of departures happen in a rep's first few weeks, before they have produced anything. Both effects make the true trough somewhat deeper than this model shows. Treat the output as the shape of the problem and the relative sensitivity to each input, not as a forecast.