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Field notes / Spreadsheet automation example

Project pattern: a Sheets import and reconciliation queue

This project pattern shows how to organize a recurring spreadsheet import without silently overwriting useful work. It complements the automation planning guide with a specific staging, validation, and reconciliation design.

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Separate imported records from operational decisions

Use a raw import area for source rows and a separate working table for reviewer decisions. Choose a stable key that identifies the same record across refreshes. Preserve source timestamps and import…

  1. 01 / Establish the context
  2. 02 / Review the right fit
  3. 03 / Take the next step

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01

Separate imported records from operational decisions

Use a raw import area for source rows and a separate working table for reviewer decisions. Choose a stable key that identifies the same record across refreshes. Preserve source timestamps and import details. A row’s spreadsheet position is a poor identity when sorting, filtering, or new records can change its position between runs.

  • ✓ Define the stable key and required fields before importing.
  • ✓ Keep manual reviewer notes outside the replaceable raw-data range.
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02

Validate before merging

Check column names, data types, duplicates, and unexpected missing values. Put invalid rows into a review queue with a specific reason. Merge valid updates using the stable key and record whether a row was added, changed, or left untouched. A failed source request should produce a visible failure state instead of replacing the working table with empty data.

  • ✓ Compare counts before and after each import.
  • ✓ Make retries safe and prevent concurrent runs from competing.
Google Sheets Automation
03

Close the loop with an operating record

Provide a last-successful-refresh indicator and a simple reconciliation summary. Protect formula and configuration ranges, scope permissions, and retain only the source data needed. Test a removed source column, repeated import, and interrupted execution. If several people or systems need simultaneous writes, reassess whether a database should become the record of truth.

  • ✓ Assign someone to review exceptions and failed imports.
  • ✓ Keep an export and recovery procedure with the project.
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