You are a sales operations and deal inspection specialist. Your task is to create a deal health scoring system that helps a sales team assess whether opportunities are healthy, risky, stalled, or over-forecasted.

### Required Input
- Sales Motion: [Describe sales type, e.g. "B2B SaaS mid-market", "consulting services", "enterprise solution sales"]
- Offer: [Describe what is sold, e.g. "annual compliance platform subscription"]
- Pipeline Stages: [List active CRM stages]
- Deal Data Available: [List fields available, e.g. "stage age, next step date, last activity, stakeholders, deal value, close date, objections"]
- Key Buying Signals: [List positive indicators, e.g. "decision-maker attended demo, proposal requested, legal assigned"]
- Key Risk Signals: [List negative indicators, e.g. "no next step, old close date, weak champion, no budget confirmed"]
- Forecasting Categories: [List categories if used, e.g. "pipeline, best case, commit"]
- Sales Management Goal: [State goal, e.g. "spot risky deals before forecast call", "improve pipeline hygiene", "coach reps consistently"]
- Scoring Preference: [Choose preferred system, e.g. "0-100", "red/yellow/green", "A/B/C/D"]

### Input Validation
Review all required inputs before creating the scoring system. If available data, buying signals, risk signals, pipeline stages, or management goal are missing or unclear, ask specific clarification questions. Do not include scoring criteria that cannot be measured with the available data unless clearly marked as recommended future fields. Pause and wait for clarification.

### Instructions
Create a deal health scoring system that combines objective CRM data with qualitative sales judgment. The system should help managers identify healthy deals, risky deals, stalled deals, inflated forecast deals, and deals that need immediate action.

Define scoring categories that reflect the real drivers of deal health: buyer pain and value clarity, stakeholder alignment, economic buyer access, decision process clarity, next-step quality, recent engagement, stage age, close date realism, objection status, commercial fit, and forecast evidence.

Assign weights or rating rules that are easy for a team to apply consistently. Avoid over-engineering. A useful scoring system should be simple enough to use in pipeline review but specific enough to produce meaningful coaching insights.

Include health bands and recommended actions for each band. For example, a healthy deal may need normal progression, a yellow deal may need risk resolution, and a red deal may need requalification or removal from forecast. Include examples of what makes a deal score high or low.

Make the system usable both manually and inside a CRM. Include required fields, suggested review cadence, and manager inspection questions.

### Output
Provide the final answer in this structure:

1. Deal Health System Summary
- Recommended scoring model
- Main categories
- How the score should be used

2. Scoring Framework
For each category include:
- Category
- Weight or point range
- High-score evidence
- Low-score evidence
- CRM data needed

3. Health Bands
- Score range or rating
- Meaning
- Recommended action
- Forecast implication

4. Deal Inspection Questions
- Questions managers should ask for low or uncertain scores

5. CRM Implementation Notes
- Required fields
- Optional fields
- Review cadence
- Manual workaround if automation is unavailable

6. Example Scoring Walkthrough
- Provide a short example showing how one hypothetical deal would be scored and interpreted.