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Forecast pipeline and compare salespeople, territories, accounts, and commercial allocations using expected contribution rather than close rate alone.
Passed 21 of 22 test cases with the skill, and 6 of 22 without it.
and 15 more in the full report
15 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our new revops analyst needs to look up standard sales abbreviations and terminology used across the analytical models. Which documentation file contains these definitions?
| Checked | Without skill | With skill |
|---|---|---|
| Directs the user to references/glossary.md | Missed | Passed |
The instructions your model reads when the skill loads.
OverKill Hill P³ · overkillhill.com · github.com/OKHP3
Apply outcome modeling to sales and business decisions where raw wins can hide discounting, easy-opportunity selection, churn, service cost, or money left on the table. The primary object is economically efficient contribution, not a flattering headline metric such as close rate.
| In scope | Out of scope |
|---|---|
| Pipeline and revenue forecasts | Fabricated CRM or customer information |
| Margin, retention, expansion, and capacity-aware decisions | Personnel decisions based on a single metric |
| Rep, account, territory, and opportunity comparisons | Unauthorized outreach or CRM writes |
Do not treat a 100% close rate as proof of superior performance. First examine opportunity assignment, customer fit, deal size, competition, discounts, cycle time, retention, expansion, service burden, and capacity consumed.
Use an economic objective such as:
expected contribution margin
- discount cost
- acquisition and service cost
- time and capacity cost
+ retention and expansion value
+ incremental lift above opportunity baseline
The exact objective must be agreed before ranking salespeople or allocating resources.
Read references/computational-model.md for expected contribution, incremental
lift, and constrained allocation formulas. Read references/glossary.md before
using sales abbreviations. Reproduce the synthetic allocation with
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.