An annual operating plan (AOP) sets next year’s bookings target, then works out the pipeline, sellers, quotas, and comp needed to hit it. The hard part is getting those pieces to agree. This toolkit works through one plan for Coherence, a fictional software company, so every number is synthetic.
These are the baseline numbers the workspace and the workbooks start from. Required pipeline covers the full $24M in new and expansion bookings at the plan’s win rates.
Raising quota doesn’t add capacity. To close the gap, leadership has to change something real: hire earlier, raise productivity, move more of the target off sellers, or lower the target.
Adjust the bookings target, the sellers’ share, over-assignment, win rates, deal size, and attrition, and the capacity, quota, and pipeline views update. Changes last until you reload. Nothing is saved and there’s no live AI. An uploaded CSV gets its own review and doesn’t change the sample forecast.
A milestone calendar with stage gates, a playbook for each model, metric definitions, a comp-design checklist, decision rights, and a plan for the first 30 days after launch.
Each starts from the same baseline but stands alone, so an assumption you change in the browser has to be copied into a workbook by hand. The territory model uses a six-seller illustrative subset, and account scoring has no financial total.
The workspace covers some of these; starting ARR, retention, sales cycle, and hiring dates aren’t adjustable in it.
| Decision | Input that matters | What breaks when it is wrong |
|---|---|---|
| Bookings target | Starting ARR, retention, growth target, timing | Everything downstream inherits an impossible top line. |
| Pipeline requirement | Win rate, deal size, sales cycle, source mix | Coverage looks healthy while timing or conversion makes the target unreachable. |
| Capacity | Productivity, ramp, attrition, hiring dates | Quota gets assigned to sellers who haven’t been hired or ramped yet. |
| Territory + quota | Market potential, seller capacity, account distribution | Some sellers get impossible patches and some accounts get nobody. |
| Compensation | Company priorities, role behavior, quota design | People get paid for behavior the plan doesn’t want. |
| Forecast | Actual results versus plan assumptions | You learn about the miss after it happens, without knowing which assumption broke. |