deal-risk-scoring
关于
This skill analyzes deal health using engagement signals, stakeholder mapping, and velocity analysis to identify at-risk opportunities. It's designed for use during deal reviews, pipeline scrubs, and when prioritizing coaching or resources. The tool helps developers assess deals by evaluating multi-threading, competitive signals, and timeline alignment.
快速安装
Claude Code
推荐npx skills add guia-matthieu/clawfu-skills -a claude-code/plugin add https://github.com/guia-matthieu/clawfu-skillsgit clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/deal-risk-scoring在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Deal Risk Scoring
Evaluate individual deal health through multi-signal analysis to prioritize coaching, intervention, and resource allocation.
When to Use This Skill
- Weekly deal reviews and pipeline scrubs
- Before QBRs to identify problem deals
- When deals stall or push close dates
- Prioritizing manager coaching time
- Allocating SE/executive resources
Methodology Foundation
Based on Gong's Deal Intelligence research and Winning by Design's Revenue Architecture, analyzing:
- Engagement velocity (email, meeting frequency)
- Stakeholder breadth (multi-threading)
- Competitive signals
- Timeline alignment
- Champion strength
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Scores deals on risk factors | Which deals to save vs. let go |
| Identifies missing elements | Resource allocation priorities |
| Suggests intervention actions | Executive sponsor assignments |
| Tracks velocity trends | Final stage/probability updates |
| Flags competitive threats | Win strategy adjustments |
What This Skill Does
- Multi-signal analysis - Engagement, stakeholders, timeline, competition
- Risk scoring - Green/Yellow/Red health status with reasons
- Gap identification - Missing stakeholders, stalled stages, unclear next steps
- Action recommendations - Specific interventions to reduce risk
- Trend tracking - Velocity changes over time
How to Use
Assess the risk for this deal:
Deal: [Company Name]
Value: $X
Stage: [Current Stage]
Close Date: [Target Date]
Days in Stage: X
Recent Activity:
- [List emails, meetings, calls with dates]
Stakeholders:
- [Name, Title, Role in deal, Engagement level]
Competition: [Known competitors]
Champion: [Name and strength assessment]
Instructions
Step 1: Engagement Velocity Score (0-25 points)
| Criteria | Points |
|---|---|
| Meeting in last 7 days | +10 |
| Email response in last 3 days | +5 |
| Multiple contacts engaged | +5 |
| Prospect initiating contact | +5 |
| No activity 14+ days | -15 |
Step 2: Stakeholder Coverage Score (0-25 points)
| Criteria | Points |
|---|---|
| Economic Buyer identified | +10 |
| Champion confirmed | +10 |
| Technical evaluator engaged | +5 |
| Only 1 contact | -10 |
| No C-level access | -5 |
Step 3: Process Alignment Score (0-25 points)
| Criteria | Points |
|---|---|
| Clear next step scheduled | +10 |
| Mutual action plan agreed | +10 |
| Decision timeline confirmed | +5 |
| Close date pushed 2+ times | -15 |
| No defined process | -10 |
Step 4: Competitive Position Score (0-25 points)
| Criteria | Points |
|---|---|
| No competition | +15 |
| Differentiation clear | +10 |
| Incumbent advantage | -10 |
| Price pressure | -5 |
| Unknown competitive status | -5 |
Step 5: Calculate Total Risk Score
| Score | Health | Action |
|---|---|---|
| 75-100 | 🟢 Green | Monitor, standard process |
| 50-74 | 🟡 Yellow | Intervention needed |
| 25-49 | 🟠 Orange | Escalate, major action |
| 0-24 | 🔴 Red | Rescue or disqualify |
Examples
Example 1: At-Risk Enterprise Deal
Input:
Deal: TechCorp Global
Value: $250K ARR
Stage: 3 - Proposal
Close Date: Feb 28 (pushed from Jan 31)
Days in Stage: 28
Recent Activity:
- Jan 15: Proposal sent to John (Dir of Ops)
- Jan 22: Follow-up email (no response)
- Jan 29: Called, voicemail
- Feb 5: Email asking for update (no response)
Stakeholders:
- John Smith, Director of Ops, Champion (was engaged)
- No other contacts
Competition: Competitor X mentioned in discovery
Champion: John - went silent
Output:
## Deal Risk Assessment: TechCorp Global
### Overall Score: 28/100 🔴 RED - HIGH RISK
### Score Breakdown
| Factor | Score | Issues |
|--------|-------|--------|
| Engagement | 0/25 | No response in 14+ days |
| Stakeholders | 5/25 | Single-threaded, no EB |
| Process | 5/25 | Pushed once, no clear next step |
| Competition | 18/25 | Competitor known but not blocking |
| **Total** | **28/100** | |
### Critical Risks
1. **🔴 Champion Gone Dark** - John hasn't responded in 14 days
- Possible: Left company, lost internal support, chose competitor
2. **🔴 Single-Threaded** - No other relationships
- If John is out, deal is dead
3. **🟠 No Economic Buyer** - Never met decision maker
- John may not have authority to close
### Recommended Actions
**This Week:**
1. Research John on LinkedIn - still at company?
2. Find another contact via LinkedIn/referral
3. Send "breakup email" to force response
4. Check if Competitor X is in active eval
**If No Response by Friday:**
- Move to Stage 2 or Closed-Lost
- Free up forecast slot
### Red Flags to Watch
- If proposal was forwarded to competitor
- If budget was reallocated
- If project was deprioritized
### Save Probability: 25%
Without new contact access, this deal is likely lost.
Example 2: Healthy Deal Review
Input:
Deal: GrowthCo Inc
Value: $85K ARR
Stage: 4 - Negotiation
Close Date: Feb 15
Days in Stage: 7
Recent Activity:
- Feb 1: Demo to full team (8 attendees)
- Feb 3: Pricing discussion with CFO
- Feb 5: Legal reviewing MSA
- Feb 7: Call scheduled for Feb 10
Stakeholders:
- Maria Lopez, VP Sales (Champion, highly engaged)
- Tom Chen, CFO (Economic Buyer, positive)
- Legal team (reviewing contract)
- 8 end users attended demo
Competition: None identified
Champion: Maria - actively selling internally
Output:
## Deal Risk Assessment: GrowthCo Inc
### Overall Score: 88/100 🟢 GREEN - HEALTHY
### Score Breakdown
| Factor | Score | Status |
|--------|-------|--------|
| Engagement | 25/25 | Daily activity, prospect-driven |
| Stakeholders | 23/25 | EB + Champion + Users confirmed |
| Process | 22/25 | Clear timeline, legal in motion |
| Competition | 18/25 | No competition identified |
| **Total** | **88/100** | |
### Strengths
1. **✅ Multi-threaded** - Champion, EB, and end users engaged
2. **✅ Process momentum** - Legal reviewing = serious intent
3. **✅ Executive access** - CFO in pricing discussions
4. **✅ Champion active** - Maria driving internally
### Minor Risks
1. **🟡 Legal review** - Could surface unexpected blockers
- Mitigation: Pre-review common redlines
2. **🟡 No competition confirmed** - May be unknown
- Mitigation: Ask directly in next call
### Recommended Actions
**Feb 10 Call Prep:**
1. Prepare redline responses for common legal issues
2. Confirm decision process post-legal
3. Ask: "Is anyone else in consideration?"
4. Get verbal commit from Maria
### Close Probability: 85%
Deal is on track. Focus on removing legal friction.
Skill Boundaries
What This Skill Does Well
- Objective risk scoring from available data
- Identifying gaps in deal coverage
- Prioritizing which deals need attention
- Suggesting specific interventions
What This Skill Cannot Do
- Know information not provided (internal politics)
- Predict competitor moves
- Replace relationship judgment
- Guarantee score accuracy with incomplete data
When to Escalate to Human
- Strategic accounts requiring executive judgment
- Deals involving partnerships or M&A
- Unusual contract structures
- Competitive intelligence gathering
Iteration Guide
Follow-up Prompts
- "What's the single most important action for this deal?"
- "Compare risk scores for my top 5 deals."
- "What questions should I ask in the next meeting?"
- "Draft a re-engagement email for the silent champion."
Refinement Cycle
- Initial assessment → Identify top risks
- Take action → Update activity log
- Re-score → Track improvement
- Weekly review → Trend analysis
Checklists & Templates
Deal Health Checklist
- Champion identified and engaged this week
- Economic Buyer met at least once
- Next step scheduled within 7 days
- Competition status known
- Close date validated by prospect
Risk Score Template
## Deal: [Name] | Score: X/100 [Status Emoji]
### Quick Stats
- Value: $X | Stage: X | Days: X | Close: [Date]
### Scores
| Factor | Score | Key Issue |
|--------|-------|-----------|
| Engagement | /25 | |
| Stakeholders | /25 | |
| Process | /25 | |
| Competition | /25 | |
### Top 3 Actions
1.
2.
3.
References
- Gong Deal Intelligence Research
- Winning by Design Revenue Architecture
- MEDDPICC Qualification Framework
- Force Management Command of the Message
Related Skills
pipeline-forecasting- Aggregate deal health into forecastlead-qualification-meddic- Deep qualification frameworkaccount-health- Post-sale relationship scoring
Skill Metadata
- Domain: RevOps
- Complexity: Intermediate
- Mode: centaur
- Time to Value: 10 minutes per deal
- Prerequisites: Deal details, activity history, stakeholder map
GitHub 仓库
相关推荐技能
llamaguard
其他LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。
cost-optimization
其他这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。
quantizing-models-bitsandbytes
其他这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。
dispatching-parallel-agents
其他该Skill用于并行处理3个以上无依赖关系的独立故障,可为每个问题域分派专属Claude代理同时执行调查修复。它通过并发处理多个独立问题显著提升故障排查效率,特别适用于测试文件、子系统等无共享状态的场景。
