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Methodology for defining product-qualified lead (PQL) signals, scoring, and routing.
Passed 19 of 23 test cases with the skill, and 19 of 23 without it.
1 fixed18 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We are launching a sales-assisted motion for our self-serve SaaS product and need to establish a formal PQL system. Could you walk us through structuring a full PQL framework? We need help building a signal inventory, defining how to score and tier accounts based on product usage and intent, setting up routing rules across our tech stack, and establishing a loop to measure ARR impact.
| Checked | Without skill | With skill |
|---|---|---|
| The response includes signal weighting in the scoring model. | Passed | Passed |
| The response includes decay rules in the scoring model. | Passed | Passed |
| The response includes negative indicators in the scoring model. | Missed | Passed |
The instructions your model reads when the skill loads.
operationalize-pql-routing to push models into automation.test cases passed, vs 19 / 23 without
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