Data Analysis Plan Generator

Help me design a structured plan for analyzing a dataset.

**The question I'm trying to answer:**
[What business question, hypothesis, or decision is this analysis for?]

**The dataset I have:**
- What it contains: [Describe the data — tables, fields, rows, time range]
- How it was collected: [e.g. user events, survey responses, sales transactions, sensor data]
- Known data quality issues: [Nulls, duplicates, inconsistencies you're aware of]
- Size: [approximate rows and columns]

**Tools I'm using:**
[e.g. Python/pandas, R, SQL, Excel, Tableau, Looker, BigQuery]

**Who the output goes to:**
[e.g. myself, an executive, a client, a data science team, published externally]

**Timeline:**
[How much time do you have for this analysis?]

Design a complete analysis plan:
1. **Reframe the question** — restate it as a precise, answerable analytical question
2. **Key metrics** — the specific numbers you need to calculate to answer the question
3. **Analysis steps** — ordered sequence of what to do: data cleaning → exploration → analysis → validation
4. **For each step:** what you're doing, why, and what tool/technique to use
5. **Potential confounders and biases** — what could make the results misleading
6. **Sanity checks** — how to verify your results make sense before presenting them
7. **Output format** — what the deliverable should look like given the audience