T Li Spreadsheets Better: Daniel

Use dropdown menus, date pickers, and number limits to force clean inputs. If a cell requires a date, set a rule that blocks users from typing text.

: Features tools for perforated shear walls, wood beams, and diaphragms based on NDS 2012.

Have someone else use your spreadsheet without any explanation. If they can input data and get correct results without confusion, your spreadsheet is ready. daniel t li spreadsheets better

The clean, executive-facing dashboard. This tab features charts, key performance indicators (KPIs), and summary tables. Users should look at this tab to make decisions without seeing the messy data behind it. Pillar 2: Automation over Input

: Many engineers prefer Li's sheets because they provide a bridge between "black box" commercial software and manual verification, allowing for auditable results. Use dropdown menus, date pickers, and number limits

Draw a simple diagram showing inputs, calculations, and outputs. Identify which numbers will change (inputs) and which will be computed. This paper sketch is your blueprint and will save hours of rework later.

💡 A spreadsheet is only as good as the system behind it. By adopting a more modern, relational approach, you save hours of manual labor and gain clarity you never thought possible. Share public link Have someone else use your spreadsheet without any

Instead of locking users into a single monolithic sheet, the next-generation spreadsheet treats the screen as an infinite canvas. On this canvas, a user can drop a small, self-contained spreadsheet table here, an image gallery there, and a block of text right next to it.

Here is how Daniel T. Li's spreadsheets make the engineering process "better," alongside general best practices for mastering spreadsheet design. Why Daniel T. Li Spreadsheets are "Better"

When a spreadsheet is built without a logical structure, only the creator understands how it works. If that employee leaves the company, the spreadsheet becomes a "black box" that no one dares to touch, stalling productivity and locking away critical institutional knowledge. 3. Cognitive Overload