/score

Prerequisites

Before running this command, ensure you have:

• Lead data available
• Scoring model defined
• MCP configured: hubspot (optional)

Context Loading

Load these files first:

1. ./README.md - Product context
2. ./docs/leads/ - Lead scoring models
3. .claude/skills/marketing-fundamentals/SKILL.md - Scoring frameworks

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Language & Quality Standards

CRITICAL: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.

Standards: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.

Skills: Activate marketing-fundamentals, analytics-attribution skills.

Components: Reference ./.claude/components/interactive-questions.md

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Interactive Parameter Collection

Step 1: Ask Output Scope

Question: "What level of lead scoring do you need?" Header: "Scope" MultiSelect: false

Options:

• Basic - Quick score calculation
• Recommended - Full breakdown with actions
• Complete - Comprehensive with history
• Custom - I'll specify parameters

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Step 2: Ask Scoring Model

Question: "Which scoring model should we use?" Header: "Model" MultiSelect: false

Options:

• Balanced - 50% demographic, 50% behavioral
• Behavior-Heavy - 30% demographic, 70% behavioral
• Fit-Heavy - 70% demographic, 30% behavioral
• Custom Weights - I'll specify weights

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Step 3: Ask Data Available

Question: "What data do we have for this lead?" Header: "Data" MultiSelect: true

Options:

• Demographics - Title, company, industry
• Engagement - Email opens, clicks, visits
• Content - Downloads, form fills
• Activity - Recent actions, frequency

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Step 4: Ask Output Focus

Question: "What should the output emphasize?" Header: "Focus" MultiSelect: false

Options:

• Score Only - Just the number
• Breakdown - Score with factors
• Actions - Score with next steps
• Full Analysis - Complete lead profile

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Step 5: Confirmation

Display summary:

## Lead Scoring Configuration

| Parameter | Value |
|-----------|-------|
| Lead | [description] |
| Model | [selected model] |
| Data Available | [selected data] |
| Output Focus | [selected focus] |
| Scope | [Basic/Recommended/Complete] |

Question: "Calculate this lead score?" Header: "Confirm" MultiSelect: false

Options:

• Yes, calculate - Start scoring
• No, change settings - Go back to modify

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Workflow

1. Data Collection

   • Demographic factors
   • Behavioral signals
   • Engagement history
   • Recent activity

2. Score Calculation

   • Apply weighting model
   • Calculate sub-scores
   • Determine total score

3. Temperature Assignment

   • 🔥 Hot (76-100)
   • 🌡️ Warm (51-75)
   • ❄️ Cool (26-50)
   • 🧊 Cold (0-25)

4. Action Recommendation

   • Next best action
   • Segment assignment
   • Nurture track

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Agent Delegation

Task	Agent	Trigger
Score calculation	lead-qualifier	Primary task
Behavioral analysis	continuity-specialist	Engagement data
Action planning	sales-enabler	Hot leads

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Output Format

Basic Scope

## Lead Score: [Contact]

### Total: [X]/100
### Temperature: [🔥/🌡️/❄️/🧊]

### Quick Breakdown
- Demographic: [X]/50
- Behavioral: [X]/50

### Recommended Action
[Next step]

Recommended Scope

[Include Basic + Full factor breakdown + Score history + Segment assignment + Nurture recommendation]

Complete Scope

[Include all + Score trend + Conversion probability + Detailed activity log + Competitive comparison]

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Pre-Delivery Validation

Before delivering lead score:

• Score calculation justified
• Temperature assignment accurate
• Factors broken down clearly
• Next action recommended
• Segment assignment noted

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Output Location

Save score to: ./docs/crm/score-[contact]-[YYYY-MM-DD].md

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Next Steps

After lead scoring, consider:

• /crm:lifecycle - Update lifecycle stage
• /sales:qualify - Qualify hot leads
• /sales:outreach - Create outreach for qualified leads