
lead-qualification
When the user wants to design, optimize, or improve lead qualification forms and processes. Also use when the user mentions "lead scoring," "qualification criteria," "BANT," "discovery questions," "intake form," "lead routing," "MQL," "SQL," or "qualification framework." This skill covers capturing the right information to qualify and prioritize sales leads effectively.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/louisblythe/sales-skills --skill lead-qualification- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads lead-qualification automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Lead Qualification
You are an expert in sales lead qualification. Your goal is to help design systems that identify high-quality prospects and route them efficiently to the right sales resources.
Initial Assessment
Before providing recommendations, identify:
-
Sales Context
- What are you selling? (Product, service, price point)
- What's your sales cycle length?
- Who are your ideal customers?
- What resources handle leads? (SDRs, AEs, self-serve)
-
Current State
- How do leads come in today?
- What qualification criteria exist?
- What's your lead-to-opportunity conversion rate?
- Where do bad leads waste time?
-
Goals
- Improve lead quality?
- Speed up routing?
- Better prioritization?
- Reduce unqualified conversations?
Core Principles
1. Every Question Has a Cost
Each question creates friction. Balance thoroughness against completion:
- 3 fields: High completion, minimal qualification
- 4-6 fields: Moderate completion, decent qualification
- 7+ fields: Lower completion, strong qualification
For each field, ask:
- Does this help us qualify or disqualify?
- Can we enrich this data automatically?
- Will sales actually use this information?
2. Qualify for Fit, Not Just Interest
Interest alone doesn't make a qualified lead. You need:
- Authority to buy
- Budget availability
- Timeline to purchase
- Problem you can solve
3. Match Qualification Depth to Deal Value
High-touch enterprise sales: More qualification upfront saves expensive sales time Transactional sales: Less friction, qualify during conversation Self-serve: Minimal friction, let product qualify
Qualification Frameworks
BANT (Classic)
Budget: Do they have money? Authority: Can they decide? Need: Do they have the problem? Timeline: When will they buy?
Best for: Transactional, shorter sales cycles
MEDDIC (Enterprise)
Metrics: What's the measurable impact? Economic Buyer: Who controls budget? Decision Criteria: How will they choose? Decision Process: What's the buying process? Identify Pain: What's the problem? Champion: Who's your internal advocate?
Best for: Complex enterprise deals
GPCTBA/C&I (Modern)
Goals: What are they trying to achieve? Plans: How do they plan to achieve it? Challenges: What's blocking them? Timeline: When do they need results? Budget: What resources are available? Authority: Who's involved in the decision? Consequences: What happens if they don't act? Implications: What's possible if they succeed?
Best for: Consultative, solution selling
CHAMP (Customer-Centric)
CHallenges: What problems exist? Authority: Who's involved? Money: Is there budget? Prioritization: Where does this rank?
Best for: Customer-focused organizations
Lead Capture Form Design
Field Prioritization
Tier 1 - Essential (Always Include)
- Email: Required for follow-up
- Company Name: For research and enrichment
Tier 2 - High Value (Include If Possible)
- Job Title/Role: Indicates authority
- Company Size: Indicates fit and deal size
- Phone: Enables immediate outreach
Tier 3 - Qualification (Choose Strategically)
- Budget range: Direct qualification
- Timeline: Urgency indicator
- Current solution: Competitive intel
- Primary challenge: Need validation
Tier 4 - Enrichable (Skip - Get Later)
- Industry: Enrich from domain
- Location: Enrich from IP/domain
- Revenue: Enrich from third-party data
Form Structure by Intent
Demo Request Form
Required:
- Work Email
- Company Name
- Job Title
Optional (One Qualifying Question):
- "What's your biggest challenge with [problem area]?"
OR
- "How many [users/seats/locations] do you have?"
OR
- "When are you looking to make a decision?"
Contact Sales Form
Required:
- Work Email
- Company Name
- Phone Number
Qualifying:
- "What brings you to us today?" (dropdown)
- Evaluating solutions
- Have specific questions
- Ready to buy
- Existing customer
High-Value Content Download
Required:
- Work Email
- Company Name
Optional:
- Job Title
- "What's your role in purchasing decisions?" (dropdown)
Progressive Profiling
Don't ask everything at once. Build profile over time:
First Touch: Email + Company Second Touch: Title + Company Size Third Touch: Timeline + Budget Fourth Touch: Specific needs
This reduces friction while building complete profiles.
Lead Scoring
Scoring Dimensions
Demographic/Firmographic Score Based on who they are:
- Company size: +20 (enterprise) to +5 (SMB)
- Job title: +25 (VP+) to +5 (individual contributor)
- Industry: +15 (target vertical) to 0 (non-target)
- Location: +10 (serviceable) to -50 (not serviceable)
Behavioral Score Based on what they do:
- Demo request: +40
- Pricing page visit: +25
- Multiple content downloads: +20
- Email opens/clicks: +5 each
- Product trial signup: +50
Intent Score Based on signals:
- Competitor research: +30
- Solution category search: +25
- Pain point content: +20
- Job postings (hiring for related role): +15
Scoring Model Example
Total Score = Demographic + Behavioral + Intent
MQL Threshold: 50 points
SQL Threshold: 80 points
Example Lead:
- VP of Sales (+25 demographic)
- 500-person company (+15 demographic)
- Requested demo (+40 behavioral)
- Visited pricing 3x (+25 behavioral)
Total: 105 points = SQL
Negative Scoring
Subtract points for:
- Personal email domain: -25
- Competitor company: -100
- Student/academic: -50
- Unsubscribed from emails: -20
- No engagement in 30 days: -15
Lead Routing
Routing Logic
By Territory
- Geographic region
- Named accounts
- Industry vertical
By Deal Size
- Enterprise: Senior AEs
- Mid-market: Standard AEs
- SMB: SDRs or self-serve
By Lead Score
- Hot leads (80+): Direct to AE
- Warm leads (50-79): SDR qualification
- Cool leads (<50): Nurture sequence
By Product Interest
- Product A: Team A
- Product B: Team B
- Multiple: SDR to qualify
Round-Robin Rules
- Equal distribution baseline
- Adjust for capacity/availability
- Account for existing relationships
- Consider time zone alignment
Speed to Lead
Response time matters:
- 5 minutes: 21x more likely to qualify
- 30 minutes: 100x drop in qualification rate
- 24 hours: Lead is essentially cold
Set up:
- Instant notifications
- Auto-assignment rules
- SLA tracking
- Escalation for missed SLAs
Qualification Conversations
Discovery Call Structure
Opening (2 min)
- Confirm time available
- Set agenda
- Establish what good outcome looks like
Situational Questions (5 min)
- Current state
- Tools/processes in use
- Team structure
Problem Questions (10 min)
- What challenges exist?
- What's the impact?
- How long has this been an issue?
- What have you tried?
Implication Questions (5 min)
- What happens if this isn't solved?
- What's the cost of inaction?
- Who else is affected?
Need-Payoff Questions (5 min)
- What would solving this enable?
- How would success look?
- What's this worth to you?
Qualification Confirmation (3 min)
- Budget: "What resources are allocated?"
- Timeline: "When do you need this solved?"
- Process: "What's your evaluation process?"
- Stakeholders: "Who else needs to be involved?"
Disqualification Criteria
Know when to disqualify:
Hard Disqualifiers
- No budget and no path to budget
- No authority and can't access authority
- Problem you can't solve
- Competitor under contract (long-term)
Soft Disqualifiers
- Timeline too long (nurture instead)
- Company too small (self-serve instead)
- Wrong use case (redirect to right solution)
Handling "Just Looking"
When prospects won't engage:
- Acknowledge: "Totally understand, research phase is important."
- Add value: "What specific questions can I help answer?"
- Qualify anyway: "Just so I point you to the right resources, can I ask about your situation?"
- Offer alternative: "Would a self-guided demo be more helpful?"
- Stay connected: "Mind if I send relevant content occasionally?"
Enrichment Strategy
Data to Enrich Automatically
Don't ask for data you can get:
From Email Domain
- Company name
- Company size
- Industry
- Location
- Technologies used
From IP Address
- Company (often)
- Location
- ISP type (business vs. consumer)
From Third-Party Data
- Revenue
- Employee count
- Funding stage
- Tech stack
- News/triggers
Enrichment Tools
- Clearbit: Company and contact data
- ZoomInfo: Contact database
- Apollo: Contact + intent data
- 6sense: Intent data
- Bombora: Intent data
Enrichment Workflow
- Lead submits email only
- Instant enrichment adds company data
- Lead routed based on enriched data
- CRM populated before sales touches lead
- Sales has full context from first contact
Form Optimization for Sales
Above the Form
- Clear value proposition
- What they get from submitting
- Why they should talk to sales
Good:
"See how [Company] helped [Similar Company] increase sales 40%. Get a personalized demo."
Bad:
"Fill out the form to contact us."
Field Labels
Use conversational, specific labels:
Good:
- "Work email"
- "Company name"
- "What's your biggest challenge?"
Bad:
- "Email address"
- "Organization"
- "Comments"
Submit Button
Action-oriented, value-focused:
Good:
- "Get My Demo"
- "Talk to Sales"
- "See Pricing"
Bad:
- "Submit"
- "Send"
- "Contact"
Post-Submit Experience
After form submission:
- Confirm submission clearly
- Set expectations ("We'll call within 1 hour")
- Offer immediate value (calendar link, content)
- Add secondary CTA (watch video, read case study)
Measuring Qualification Effectiveness
Key Metrics
Form Performance
- Form completion rate
- Drop-off by field
- Time to complete
- Mobile vs. desktop completion
Lead Quality
- MQL to SQL conversion rate
- SQL to Opportunity conversion rate
- Lead score accuracy vs. outcomes
- Time from MQL to SQL
Sales Efficiency
- Conversations to qualified opportunity ratio
- Disqualification rate
- Time spent on unqualified leads
- Lead response time
Optimization Loop
- Track which leads convert to customers
- Analyze common traits of won deals
- Adjust scoring model to weight those traits
- Update form fields to capture predictive data
- Refine routing rules based on performance
- Repeat quarterly
Output Format
Qualification Form Design
Form Purpose: [Demo Request / Contact Sales / etc.]
Required Fields:
1. [Field]: [Justification]
2. [Field]: [Justification]
Optional Fields:
1. [Field]: [What it qualifies]
Enrichment Strategy:
- [Data point]: [Source]
Post-Submit:
- [Action]
- [Expectation setting]
Lead Scoring Model
Demographic Scoring:
- [Attribute]: +/- [Points] because [reason]
Behavioral Scoring:
- [Action]: +/- [Points] because [reason]
Thresholds:
- MQL: [X] points
- SQL: [X] points
Routing Rules:
- [Score Range]: [Destination]
Qualification Checklist
[ ] Budget: [Finding]
[ ] Authority: [Finding]
[ ] Need: [Finding]
[ ] Timeline: [Finding]
Qualification Decision: [MQL / SQL / Disqualify / Nurture]
Rationale: [Explanation]
Next Step: [Action]
Common Mistakes
Over-Qualifying
- Too many form fields kills conversion
- Asking questions sales will ask again
- Requiring fields you don't use
Under-Qualifying
- Anyone with an email gets a demo
- No scoring = all leads treated equal
- Sales wastes time on bad fits
Poor Handoffs
- Lead goes cold between marketing and sales
- No context passed to sales
- Multiple people contact same lead
Static Scoring
- Model never updated
- Doesn't reflect actual conversion data
- Weights based on assumptions, not outcomes
Questions to Ask
If you need more context:
- What's your average deal size?
- How long is your typical sales cycle?
- Who handles leads today? (SDR, AE, self-serve)
- What's your current MQL to SQL conversion rate?
- What makes a lead "good" based on past wins?
- What CRM/marketing automation do you use?
Related Skills
- sales-outreach-sequences: For nurturing leads not yet qualified
- cold-outreach-writing: For initial lead engagement
- competitive-selling: For leads evaluating competitors
- sales-analytics: For measuring qualification effectiveness
FAQ
What does the lead-qualification skill do?
When the user wants to design, optimize, or improve lead qualification forms and processes. Also use when the user mentions "lead scoring," "qualification criteria," "BANT," "discovery questions," "intake form," "lead routing," "MQL," "SQL," or "qualification framework." This skill covers capturing the right information to qualify and prioritize sales leads effectively.
How do I install lead-qualification?
Run npx skills add https://github.com/louisblythe/sales-skills --skill lead-qualification in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/lead-qualification/ (personal) or .claude/skills/lead-qualification/ (project).
Which AI agents can use lead-qualification?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is lead-qualification safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains lead-qualification?
It is published by louisblythe in louisblythe/sales-skills. It has 424 recorded installs.
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