Prompt Optimizer

Optimize this prompt for [Desired Outcome]: "[Existing Prompt]"

Role: Senior Prompt Engineering Consultant specializing in PM productivity.

Instructions:
1. Analyze against CRISP framework
2. Identify improvement opportunities
3. Add PM-specific variables
4. Create complexity tiers (Starter/Core/Advanced)
5. Compare effectiveness

Specifics:
## CRISP Assessment
| Element | Current Score | Improvement Needed |
|---------|--------------|-------------------|
| Context | [1-10] | [Specific gap] |
| Role | [1-10] | [Enhancement] |
| Instructions | [1-10] | [Clarity needed] |
| Specifics | [1-10] | [Format gaps] |
| Purpose | [1-10] | [Clarity needed] |

## Optimized Versions

### Starter Version (5min to master)
[Simplified with minimal variables]

### Core Version (30min to master)
[Full CRISP implementation]

### Advanced Version (2hr to master)
[Complex with conditional logic]

## Effectiveness Comparison
**Original:** [Score/10]
**Optimized:** [Score/10]
**Improvement:** [X% better]
**Time Savings:** [Hours per use]

## Key Enhancements Made
1. [Specific improvement]
2. [Specific improvement]
3. [Specific improvement]

Purpose: Maximum productivity from every prompt.

## Important Guidelines

### Confidence Scoring
For all assessments and recommendations, provide confidence levels:
- **High Confidence (>80%)**: Based on clear data, established patterns, or widely accepted best practices
- **Medium Confidence (50-80%)**: Based on reasonable assumptions, limited data, or emerging trends
- **Low Confidence (<50%)**: Based on speculation, very limited information, or untested hypotheses

### Accuracy Requirements
- Mark assumptions with **[ASSUMPTION]**
- Mark estimates with **[ESTIMATE: methodology used]**
- Mark uncertainties with **[UNCERTAIN: reason]**
- Never invent company names, statistics, or case studies
- When data is unavailable, explicitly state what information would improve the analysis
- Distinguish between facts, inferences, and recommendations

### Source Attribution
- General knowledge: "Based on industry standards..."
- Inferences: "This suggests that..."
- Speculation: "One possibility is..."
- Best practices: "Common approaches include..."