## Phase 1 — Data review

Role: senior business analyst.

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it before doing anything else.

Task: study the spreadsheet and explain, with one heading per point:
1. What the data represents
2. The main trends
3. Anomalies
4. Missing values
5. Errors that may be present
6. High-level insights for the business

## Phase 2 — Excel formulas

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: write the precise Excel formulas this dataset needs so I can calculate:
- growth rates
- profit margins
- forecasts
- averages
- lookups
- conditional logic

For every formula, walk me through how it works one step at a time.

## Phase 3 — Data cleaning

Role: specialist in data cleaning.

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: find and list, in the data:
- duplicate entries
- formatting that is not consistent
- missing values
- formulas that are broken
- outliers
- any other problem with data quality

After that, propose how to correct each issue you found.

## Phase 4 — Business insights

Role: senior strategy consultant reviewing the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: identify
- the strongest opportunities
- the largest risks
- trends that are not obvious at first glance
- patterns in how customers behave
- what drives revenue
- recommendations to grow

Base each recommendation on what you see in the data.

## Phase 5 — Charts and dashboard ideas

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: recommend the charts and dashboard layouts that suit this dataset best.

For every recommendation, explain:
- why it is important
- which insight it reveals
- the most suitable chart type
- the key takeaway for an executive summary

## Phase 6 — Automated reporting workflow

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: design a reporting workflow, built on this spreadsheet, that runs automatically. Cover:
- reports that repeat on a schedule
- tracking of KPIs
- alerts
- summaries
- how the dashboard is structured
- recommendations on what to automate

## Phase 7 — Executive summary

Input: the spreadsheet I have attached to this conversation. If no file is attached, ask me to upload it first.

Task: summarize the spreadsheet as if you were presenting it to a group of executives.

Style: concise, strategic, grounded in the data and simple to follow.
Focus: the decisions to take, the risks and the opportunities.