1.Detects new CSV file in folder
Integrate Amazon S3 and file ingestion tools to watch the configured folder for new CSV uploads and pass file details to the workflow.
Amazon S3or swap with your favorite appCreate daily agent PCS records in your reporting table
Automatically detect new CSV uploads across Amazon S3 and Zapier Tables. Create and update PCS records when new CSV upload, file appears in folder, or post-call survey file arrivesβso you can parse survey rows, compute per-agent averages, and populate your reporting table without manual review.
How this automation creates agent PCS records
When new CSV file uploads appear in a configured Amazon S3 folder, same-day agent review can stall. This automation parses survey CSVs, computes per-agent averages, and creates Zapier Tables recordsβso your team can review PCS by agent quickly.
2.Parses survey CSV and computes averages
Integrate Code by Zapier, Python tooling, and parsing tools to download the CSV, compute per-agent average PCS, and parse the file date.
Code by Zapieror swap with your favorite app
3.Loops agent identifiers and scores
Integrate Looping by Zapier and iteration logic to send each agent identifier and its average score downstream for record creation.
Looping by Zapieror swap with your favorite app
4.Filters valid agent score rows
Integrate Filter by Zapier and validation rules to continue only looped items that match the agent pattern and have numeric averages.
Filter by Zapieror swap with your favorite app
5.Creates PCS score records in table
Integrate Zapier Tables and reporting records to map file dates, agent identifiers, and PCS averages into new table rows.
Zapier Tablesor swap with your favorite app
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