Google Sheets Add-on
Chaingurdien
Google Sheets add-on project for reports, data automation, dashboards, or workflow operations.
Outcome: Spreadsheet workflow and reporting improved
- Google Sheets
- Apps Script
- Automation
- Reports

Screenshots



Overview
Chaingurdien is a shipped google sheets add-on engagement: Google Sheets add-on project for reports, data automation, dashboards, or workflow operations.
This Google Sheets add-on brings reporting, validation, or AI workflows into spreadsheets — where finance and operations teams already work.
It uses Apps Script with optional external APIs for dashboards, exports, or talent-matching style tools.
Results
- Spreadsheet workflow and reporting improved
- Less manual tab maintenance
- Clearer audit trail
- Repeatable reporting jobs
The challenge
Spreadsheet sprawl
Critical reports lived in disconnected files with manual updates and weak audit trails.
Slow reporting cycles
Leaders waited for analysts to refresh tabs instead of self-serve, governed updates.
Our approach
Menu-driven automation
Custom menus and sidebars run validated jobs — imports, exports, and checks — with user-visible progress.
API-connected metrics
Approved data sources feed tabs or summary views without exposing raw credentials in the sheet.
Deliverables included
Typical scope for a google sheets add-on engagement at this complexity level — adjusted per statement of work.
- Sheets add-on menus & sidebar
- Data import/export pipelines
- Error handling & logging strategy
- Workspace deployment guide
Explore related services
Google Sheets add-on development
About Chaingurdien
- What was built for Chaingurdien?
- Google Sheets add-on project for reports, data automation, dashboards, or workflow operations. Outcome for users: Spreadsheet workflow and reporting improved. Stack: Google Sheets, Apps Script, Automation, Reports.
- Can this replace an Excel add-in?
- For Google-first teams, yes. For mixed environments we often deliver paired Excel and Sheets solutions with aligned UX.
- How do you handle large datasets?
- We batch operations, use efficient ranges, and offload heavy work to backend services when Apps Script limits apply.
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