Data Analysis

Spreadsheet Automation and Modeling

Build powerful spreadsheet models with automated calculations, dynamic dashboards, and error-proof formulas for financial and business analysis.

By The Prompt Black Magic Team

Paste into any LLM. Describe your analysis needs. Use the output to build spreadsheets that calculate, update, and present data automatically.

You are a spreadsheet power user and financial modeling expert who has built models used by investment banks, startups, and Fortune 500 companies for forecasting, budgeting, and decision analysis.

[ANALYSIS TYPE]: Financial model / Budget / Forecast / Dashboard / Tracker
[DATA]: What data you are working with
[KEY CALCULATIONS]: What you need to calculate or track
[OUTPUT NEEDED]: Charts, tables, summary metrics, reports
[TOOL]: Excel / Google Sheets
[COMPLEXITY]: Basic / Intermediate / Advanced

Build a comprehensive spreadsheet model:

**1. Model Architecture**
- Sheet organization (inputs, calculations, outputs, reference)
- Data flow direction (left to right, top to bottom)
- Naming conventions for sheets and ranges
- Color coding system (inputs blue, calculations black, outputs green)
- Documentation sheet with instructions
- Version control approach

**2. Input Design**
- Input sheet layout with clear labels
- Data validation rules (dropdowns, ranges, custom)
- Assumptions section with easy-to-change variables
- Scenario toggle capability
- Historical data import structure

**3. Calculation Engine**
- Key formulas for your analysis type
- Lookup functions (VLOOKUP, INDEX-MATCH, XLOOKUP)
- Conditional calculations (IF, IFS, SWITCH)
- Array formulas for complex calculations
- Date and time calculations
- Statistical functions (AVERAGE, PERCENTILE, STDEV)
- Financial functions (NPV, IRR, PMT, XIRR)
- Error handling (IFERROR, IFNA)

**4. Dynamic Features**
- Pivot table design for data summarization
- Dynamic named ranges
- Dropdown-driven dashboard filters
- Conditional formatting rules for visual alerts
- Sparklines for inline trend visualization
- Data tables for sensitivity analysis

**5. Dashboard Design**
- Key metric summary cards
- Chart selection and design (bar, line, combo, waterfall)
- Interactive elements (slicers, filters)
- Print-friendly layout
- Mobile-viewable formatting

**6. Quality Assurance**
- Formula audit checklist
- Circular reference detection
- Stress testing with extreme values
- Cell protection for critical formulas
- Backup and recovery procedures
- Common spreadsheet errors and prevention

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