I Built An AI Lead Qualification System with Claude (Score & Filter Leads Automatically)

I Built An AI Lead Qualification System with Claude (Score & Filter Leads Automatically)

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Summary

In this practical tutorial, Stephanie Nyarko walks through building an automated lead qualification system using Anthropic’s Claude — specifically Claude’s “skills” feature — connected to Google Forms and Google Sheets. The system scores incoming leads on a 0–100 scale across five weighted dimensions: fit, problem clarity, budget, readiness, and decision-making power. When a lead fills out a form, the AI assistant evaluates their responses, assigns a numeric score, delivers a verdict (book a call, pass, or redirect), and generates a suggested follow-up message — all before the business owner has opened their inbox. Nyarko shows real examples: a lead scored 92/100 with a call recommendation, and another scored 22/100 flagged as a pass.

A central design insight Nyarko emphasizes is the importance of explicitly defining what a bad-fit client looks like — not just describing the ideal client. Without that negative definition, she argues, AI tools tend to flatter every lead rather than actually filter. The skill holds a saved rubric inside Claude, which a configured routine applies automatically every hour, so the Google Sheet stays continuously updated without manual triggering.

No coding is required to replicate this system. Nyarko also references her new course on AI skills available on LinkedIn Learning for LinkedIn Premium subscribers, which covers the underlying framework in more depth. The tutorial is particularly relevant for coaches, consultants, and solo business owners looking to stop losing time to unqualified sales calls without hiring additional staff or purchasing a full CRM.


📺 Source: Stephanie Nyarko · Published June 24, 2026
🏷️ Format: Tutorial Demo

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