product-led-sales_skill

Overview

This skill helps teams design, implement, and optimize a sales motion layered on top of a product-led growth foundation. It focuses on when to add sales, building PQL/PQA scoring, designing handoffs from product signals, and planning hybrid PLG + sales models. The goal is to have sales accelerate expansion without gating product access.

How this skill works

I diagnose readiness to add sales using a checklist of demand, deal size, procurement complexity, and signal volume. I produce PQL and PQA scoring models that combine feature, collaboration, velocity, intent, and firmographic signals. I define triggers, routing, enrichment, and the handoff process so sales receives context-rich leads and outcomes feed back into scoring.

When to use it

• You see rising enterprise signups (500+ employees) or multiple teams per account
• There are clear upgrade opportunities from small plans to $5K+/year and beyond
• Prospects ask about SSO, security, compliance, or custom contracts
• Conversion rates have plateaued despite product optimizations
• Accounts are stuck at a single-team ceiling and need expansion support

Best practices

• Require product-market fit, sufficient signal volume (1k+ active free/trial accounts), and activation >20% before hiring sales
• Score PQLs using weighted signals and iterate quarterly with historical data and A/B tests
• Never gate core product use behind sales; make sales an accelerator, not a blocker
• Enrich leads automatically and deliver concise usage context and suggested talk tracks to reps
• Align growth and sales with weekly feedback loops and shared dashboards

Example use cases

• Create a PQL scoring model that promotes accounts with multiple invited users, hit limits, and enterprise feature requests
• Design a routing flow: automated nurture for SMBs, inside sales for mid-market, named AE for enterprise
• Build CRM sync patterns to push real-time PQL/PQA triggers and usage summaries into Salesforce or HubSpot
• Define handoff SLAs and sales playbooks that reference exact features and user behavior
• Calibrate thresholds by comparing PQL-to-close and incremental revenue to avoid over-contacting self-serve converters