Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email — n8n Workflow

High complexity Trigger21 nodes🏷️ Project Managementby Cheng Siong Chin

Overview

How It Works This workflow automates athlete performance monitoring through two parallel pipelines: real-time session analysis triggered by training form submissions, and scheduled weekly performance summaries. Designed for sports coaches, athletic trainers, and performance analysts, it eliminates manual data aggregation and ensures threshold breaches and weekly trends are communicated instantly. A training session form submission stores the record to Google Sheets, fetches historical data, and

Nodes used

Google SheetsHTTP RequestSlackCodeAI AgentOpenAI Chat ModelStructured Output Parser

Workflow Preview

How It Works
This workflow automates athlete performance monitoring
Setup Steps
1. Configure Training Session Form fields to match athl
2. Connect Google Sheets credentials to Store, Fetch, a
3. Add OpenAI API cred
Prerequisites
- Google Sheets with service account credentials
- Slack workspace with bot token
- Gmail or SMTP credentials
Use Cases
- Real-time performance threshold alerts for elite athl
Performance Analysis Agent
What – Analyses combined data using OpenAI and updates
Why – Automates performance interpretation without manu
Check Performance Threshold
What – Evaluates whether metrics breach defined perform
Why – Ensures coaches are alerted only when athlete per
Fetch & Combine Historical Data
What – Retrieves prior records and merges with current
Why – Gives the analysis agent full longitudinal contex
Weekly Summary Schedule & Grouping
What – Fetches all weekly data and groups records by in
Why – Organises data correctly before generating per-at
Weekly Summary Agent & Distribution
What – Generates summaries via OpenAI and sends to Slac
Why – Delivers consistent weekly performance visibility
parserparsermodelmodel
T
Training Session Form
W
Workflow Configuration
Store Training Record
Fetch Historical Data
C
Combine Current and Hist…
Performance Analysis Agent
OpenAI Model - Analysis
Analysis Output Parser
Update Record with Insig…
C
Check Performance Thresh…
Send Slack Alert
Send Email Alert
W
Weekly Summary Schedule
W
Weekly Config
Fetch Weekly Data
Group by Athlete
Weekly Summary Agent
OpenAI Model - Summary
Summary Output Parser
Send Weekly Summary to S…
Send Weekly Summary Email
21 nodes20 edges

How it Works

  1. 1

    Trigger

    The workflow starts with a trigger trigger.

  2. 2

    Process

    Data flows through 21 nodes, connecting agent, code, formtrigger.

  3. 3

    Output

    The workflow completes its automation and delivers the result to the configured destination.

Node Details (21)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
SL

Slack

slack

#3
CO

Code

code

#4
AI

AI Agent

n8n-nodes-langchain.agent

#5
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7

How to Import This Workflow

  1. 1Click Download JSON button on the right to save the workflow file.
  2. 2Open your n8n instance. Go to Workflows → New → Import from file.
  3. 3Select the downloaded track-athlete-sessions-and-weekly-performance-with-openai-google-sheets-slack-and-email file and click Import.
  4. 4Set up credentials for each service node (API keys, OAuth, etc.).
  5. 5Click Test Workflow to verify everything works, then activate it.

Or paste directly in n8n → Import from JSON:

{ "name": "Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email", "nodes": [...], ...}

Integrations

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletriggersetslack

Get This Workflow

Download and import in one click

Download JSONView on n8n.io
Nodes21
Complexityhigh
Triggertrigger

Created by

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletrigger

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