How does routing work within the PQL framework?

The skill helps define routing decision trees that link lead tiers to specific follow-up actions in CRMs, Slack, or Customer Success queues.

What is a PQL in this framework?

A Product-Qualified Lead (PQL) is a user who has performed specific actions within your product that indicate a high likelihood of conversion or expansion.

Does this skill help with data disqualification?

Yes, it includes guidance on identifying 'disqualifier' signals, such as expired trials or churn risks, to reduce noise for sales teams.

How does this skill handle lead scoring?

It provides structured templates for weighting product signals, setting thresholds, and applying decay logic to ensure scores reflect recent activity.

Can I use this for Product-Qualified Accounts (PQA)?

Yes, the framework is adaptable to both individual user signals (PQL) and aggregate account-level signals (PQA).

Product-Qualified Lead (PQL) Framework

Name: Product-Qualified Lead (PQL) Framework
Author: gtmagents

bygtmagents

•

Marketing Automation

Defines and operationalizes product-led growth strategies through high-intent lead scoring and automated routing workflows.

About

The PQL Framework skill provides Claude with a standardized methodology for identifying high-intent users based on product usage telemetry. It enables GTM teams to build robust lead-scoring models, catalog feature-specific signals, and establish automated routing rules that bridge the gap between product data and sales action. This skill is ideal for growth and revenue teams looking to scale their product-led motion by ensuring sales organizations prioritize accounts that have already demonstrated clear value within the application.

Key Features

Signal library for cataloging feature usage and intent data
Automated routing logic for CRM and Slack notifications
Measurement loops for tracking conversion and ARR impact
Lead tiering (A/B/C) mapped to specific sales motions
29 GitHub stars
Weighted scoring models with time-based decay rules

Use Cases

Aligning product, growth, and sales teams on lead prioritization definitions
Auditing and recalibrating existing PQL/PQA scoring logic
Scaling a product-led sales motion by identifying high-intent trial users

About

Key Features

Signal library for cataloging feature usage and intent data
Automated routing logic for CRM and Slack notifications
Measurement loops for tracking conversion and ARR impact
Lead tiering (A/B/C) mapped to specific sales motions
29 GitHub stars
Weighted scoring models with time-based decay rules

Use Cases

Aligning product, growth, and sales teams on lead prioritization definitions
Auditing and recalibrating existing PQL/PQA scoring logic
Scaling a product-led sales motion by identifying high-intent trial users