Start hereWhen is a spreadsheet a model rather than just a grid?
A spreadsheet becomes an analytical model when data, assumptions, formulas and outputs are organised so another person can trace how a result was produced.
Building interactive view…
Technical lensFormalise what the visual is doing
Cell references form a dependency graph. Tables, named ranges, structured references, PivotTables and Power Query reduce fragile manual steps.
Technical questionUse a tiny case to make the mechanism observable. Cell references form a dependency graph. Tables, named ranges, structured references, PivotTables and Power Query reduce fragile manual steps. Verify one intermediate quantity, state change or mapping independently; then predict the consequence of this change: Insert a row into a fragile range and compare it with a structured-table formula.
Practitioner lensUse it responsibly
Separate raw data, transformation logic and outputs. Avoid hard-coded constants inside formulas when they represent assumptions.
Transfer testTransfer this idea to a new example and justify each decision using this practitioner rule: Separate raw data, transformation logic and outputs. Avoid hard-coded constants inside formulas when they represent assumptions. Then explain what should change if you deliberately test: Insert a row into a fragile range and compare it with a structured-table formula.
Worked explorationUse the visual as an experiment, not decoration
Build a tiny revenue model with raw data, an assumptions cell, formulas and a summary output. Change one assumption and trace which dependent cells update. Then replace a fragile A1:A10 range with an Excel Table and append a new row.
Technical lens
Cell references form a dependency graph. Tables, named ranges, structured references, PivotTables and Power Query reduce fragile manual steps.
Practitioner check
Separate raw data, transformation logic and outputs. Avoid hard-coded constants inside formulas when they represent assumptions.
Prediction before interactionInsert a row into a fragile range and compare it with a structured-table formula.
Exploration walkthroughTurn the interaction into an evidence trail
Build a tiny revenue model with raw data, an assumptions cell, formulas and a summary output. Change one assumption and trace which dependent cells update. Then replace a fragile A1:A10 range with an Excel Table and append a new row. Before moving the control, state your prediction. After the visual changes, name the specific state, statistic, boundary or mapping that changed and explain why that change is consistent—or inconsistent—with your prediction.
- Record one observable quantity before the interaction and the same quantity afterwards.
- Change one factor at a time so the causal effect of the control is inspectable.
- Use an edge or failure case to discover where the concept stops behaving as the simple story suggests.
