About pql-framework
pql-framework is a marketing skill for designing or reviewing PQL/PQA programs. It organizes product signals into scoring, tiers, routing, and measurement, with templates for each stage.
Key features
- 01Product signal catalog
- 02Weighted scoring and decay rules
- 03PQL tiering and follow-up SLAs
- 04Routing rules by owner and channel
- 05Conversion and ARR measurement
Use cases
- 01Setting up a PQL/PQA program
- 02Aligning teams on high-intent users
- 03Auditing scoring and routing logic
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/pql-frameworkin Claude Code to confirm it loaded.
Details
From the project READMEPQL Framework Skill
When to Use
- Standing up or recalibrating PQL/PQA programs.
- Aligning product, growth, and sales on what constitutes a high-intent product user.
- Auditing the health of existing PQL scoring + routing logic.
Framework
- Signal Library – catalog feature usage, plan limits, collaboration signals, intent, firmographics.
- Scoring Model – weight signals, set decay rules, and define negative indicators.
- Tiering – map PQL tiers (A/B/C) to follow-up motions and SLAs.
- Routing Rules – specify owners, cues, channels (CRM tasks, Slack alerts, CS queue).
- Measurement Loop – track conversion, ARR impact, and feedback for model tuning.
Templates
- Signal inventory worksheet with data source + freshness.
- Scoring matrix with weights, thresholds, and decay logic.
- Routing decision tree linking tiers to plays.
Tips
- Start with simple tiering, iterate once telemetry + feedback improve.
- Include “disqualifier” signals (expired trials, churn risk) to avoid noise.
- Pair with
operationalize-pql-routingto push models into automation.
Comments
Markdown supported