home / skills / eddiebe147 / claude-settings / lead-qualifier

lead-qualifier skill

/skills/lead-qualifier

This skill helps you qualify and score leads using BANT, MEDDIC, and CHAMP to focus on high-potential opportunities.

npx playbooks add skill eddiebe147/claude-settings --skill lead-qualifier

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SKILL.md
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---
name: Lead Qualifier
slug: lead-qualifier
description: Qualify and score sales leads using proven frameworks and data-driven criteria
category: sales
complexity: intermediate
version: "1.0.0"
author: "ID8Labs"
triggers:
  - "qualify leads"
  - "lead scoring"
  - "sales qualification"
  - "BANT framework"
  - "lead priority"
tags:
  - lead-qualification
  - sales
  - lead-scoring
  - pipeline-management
  - prospecting
---

# Lead Qualifier

Transform raw leads into prioritized opportunities with systematic qualification. This skill applies proven frameworks like BANT, MEDDIC, and CHAMP to evaluate leads objectively, ensuring your sales team focuses on prospects most likely to convert.

Stop wasting time on tire-kickers and unqualified prospects. This skill helps you build scoring models, create qualification criteria, and develop consistent processes for evaluating fit, budget, authority, and timing. The result: shorter sales cycles, higher close rates, and more efficient resource allocation.

Ideal for sales teams, SDRs, account executives, and anyone who needs to separate high-potential opportunities from noise.

## Core Workflows

### Workflow 1: BANT Qualification
1. **Budget Assessment** - Determine if prospect has financial resources
2. **Authority Mapping** - Identify decision-makers and influencers
3. **Need Verification** - Confirm genuine pain points exist
4. **Timeline Discovery** - Understand urgency and buying timeframe
5. **Score Calculation** - Weight each factor for overall score
6. **Priority Assignment** - Categorize as hot, warm, or nurture
7. **Handoff Decision** - Route to appropriate sales resource

### Workflow 2: Lead Scoring Model Design
1. **Ideal Customer Profile** - Define characteristics of best customers
2. **Demographic Scoring** - Points for company size, industry, role
3. **Behavioral Scoring** - Points for engagement, content consumption
4. **Firmographic Weighting** - Prioritize by company attributes
5. **Engagement Thresholds** - Set minimum scores for qualification
6. **Score Decay Rules** - Reduce scores for inactivity
7. **Model Validation** - Test against historical conversion data

### Workflow 3: MEDDIC Deep Qualification
1. **Metrics** - Quantify the economic impact of your solution
2. **Economic Buyer** - Identify who controls the budget
3. **Decision Criteria** - Understand evaluation requirements
4. **Decision Process** - Map the buying journey and stakeholders
5. **Identify Pain** - Uncover compelling business drivers
6. **Champion** - Find internal advocate for your solution
7. **Qualification Report** - Document findings for deal strategy

### Workflow 4: Automated Qualification Workflow
1. **Form Design** - Create qualifying questions for lead capture
2. **Progressive Profiling** - Gather info across multiple interactions
3. **Enrichment Integration** - Add firmographic data automatically
4. **Scoring Triggers** - Auto-score based on behavior and data
5. **Routing Rules** - Direct leads to right team/process
6. **SLA Management** - Set response time requirements
7. **Handoff Automation** - Streamline qualified lead delivery

## Quick Reference

| Action | Command/Trigger |
|--------|-----------------|
| Score a lead | "Qualify this lead using BANT" |
| Build scoring model | "Create lead scoring model for [product]" |
| Evaluate fit | "Assess lead fit for [ICP criteria]" |
| MEDDIC analysis | "Deep qualify this opportunity" |
| Priority ranking | "Rank these leads by likelihood to close" |
| Qualification questions | "Create discovery questions for [industry]" |
| Disqualification check | "What disqualifies a lead for us?" |
| Score refinement | "Adjust scoring model based on [data]" |

## Best Practices

- **Define ICP first** - Know your ideal customer before qualifying anyone
- **Use multiple frameworks** - BANT for quick screen, MEDDIC for complex deals
- **Weight recency** - Recent engagement matters more than old activity
- **Include negative criteria** - Define what disqualifies as clearly as what qualifies
- **Automate where possible** - Let technology handle initial scoring
- **Calibrate regularly** - Compare predicted vs. actual conversions monthly
- **Document reasoning** - Record why leads are qualified/disqualified
- **Set clear thresholds** - Specific scores trigger specific actions
- **Train consistently** - Everyone should score leads the same way
- **Measure outcomes** - Track which qualified leads actually closed
- **Consider timing** - Right solution, wrong time still means nurture
- **Map buying committee** - Qualify the deal, not just the contact
- **Listen for pain** - No pain = no urgency = no deal
- **Validate budget early** - Don't invest in opportunities without resources
- **Create feedback loops** - Sales insights should refine marketing's scoring

Overview

This skill qualifies and scores sales leads using proven frameworks and data-driven criteria. It combines quick-screen methods like BANT with deep-qualification approaches such as MEDDIC and automated scoring models to prioritize opportunities. The outcome is faster sales cycles, higher close rates, and clearer handoffs between marketing and sales.

How this skill works

It inspects lead attributes (firmographics, demographics) and behavior (engagement, activity) against an Ideal Customer Profile and configurable scoring rules. You can run quick BANT screens, design a persistent lead-scoring model, perform MEDDIC-style deep qualification, or automate scoring and routing using form captures and enrichment. Scores, thresholds, and routing rules produce hot/warm/nurture categories and a documented qualification report for each qualified opportunity.

When to use it

  • When you need to prioritize a high volume of inbound leads.
  • Before handing leads from SDRs to account executives.
  • To validate and improve your current lead-scoring model using historical data.
  • When qualifying complex, high-value deals that require stakeholder mapping.
  • When automating routing and SLA-driven responses for faster follow-up.

Best practices

  • Define your Ideal Customer Profile (ICP) before building scores.
  • Use multiple frameworks: BANT for speed, MEDDIC for complex deals.
  • Weight recent engagement higher and include score decay for inactivity.
  • Document qualification decisions and record the economic metrics for each deal.
  • Calibrate and validate the scoring model regularly against conversion outcomes.

Example use cases

  • Run a BANT screen on new demo requests to decide immediate follow-up or nurture.
  • Build a firmographic + behavioral scoring model for a SaaS product and set thresholds for SDR handoff.
  • Perform MEDDIC analysis on enterprise pipeline to identify economic buyer and internal champion.
  • Design automated qualification forms with progressive profiling and enrichment to auto-route leads.
  • Adjust scoring weights after analyzing three months of conversion data to improve predictive accuracy.

FAQ

How quickly can I implement a basic scoring model?

You can implement a simple ICP-based model and BANT scoring in days; full validation with historical data typically takes several weeks.

Which framework should I use first, BANT or MEDDIC?

Use BANT for fast screening of high-volume leads and MEDDIC for strategic, high-value opportunities that need stakeholder mapping and metrics.