Prompt

# 5-Step Data-Driven Problem Solving Chain

## Step 1: Problem Quantification & Data Requirements
**Input:** Business problem requiring data analysis
**Task:** Quantify problem and define data needs
**Output:** Quantified problem with data requirements

---
**Instructions for Step 1:**
For problem: {data_problem}

Quantify:
- Problem metrics and KPIs
- Data sources identification
- Data quality assessment
- Collection requirements
- Success metrics definition

**Pass to Step 2:** Data requirements

---

## Step 2: Data Collection & Preparation
**Input:** Data requirements from Step 1
**Task:** Collect and prepare data for analysis
**Output:** Clean, prepared dataset

---
**Instructions for Step 2:**
Prepare data:
- Data extraction and collection
- Quality validation and cleaning
- Missing value handling
- Feature engineering
- Data integration

**Pass to Step 3:** Prepared dataset

---

## Step 3: Statistical Analysis & Modeling
**Input:** Prepared dataset from Step 2
**Task:** Perform statistical analysis and modeling
**Output:** Analysis results and models

---
**Instructions for Step 3:**
Analyze data:
- Exploratory data analysis
- Statistical hypothesis testing
- Predictive modeling
- Pattern identification
- Insight generation

**Pass to Step 4:** Analysis results

---

## Step 4: Insight Synthesis & Recommendations
**Input:** Analysis results from Step 3
**Task:** Synthesize insights and develop recommendations
**Output:** Data-driven recommendations

---
**Instructions for Step 4:**
Synthesize insights:
- Key finding summarization
- Business implication analysis
- Action recommendation development
- Risk and limitation assessment
- Implementation prioritization

**Pass to Step 5:** Recommendations

---

## Step 5: Implementation & Performance Tracking
**Input:** Recommendations from Step 4
**Task:** Implement solutions and track performance
**Output:** Implemented solutions with tracking

---
**Instructions for Step 5:**
Implement and track:
- Solution implementation
- Performance dashboard creation
- Success metric monitoring
- Continuous optimization
- ROI measurement

**Final Output:** Data-driven solution with performance tracking and optimization framework