Arkadiusz This workflow corresponds to n8n.io template #8400 — we link there as the canonical source.
This workflow follows the Agent → Form recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "155c6cd6-3c71-4399-9f1a-3f6c52c3a384",
"name": "Collect Sprint Review Input",
"type": "n8n-nodes-base.formTrigger",
"position": [
-320,
-64
],
"parameters": {
"options": {
"buttonLabel": "Create Summary"
},
"formTitle": "Sprint Review Summary",
"formFields": {
"values": [
{
"fieldType": "file",
"fieldLabel": "Transcript file",
"multipleFiles": false
},
{
"fieldLabel": "Sprint name"
},
{
"fieldType": "dropdown",
"fieldLabel": "Domain",
"fieldOptions": {
"values": [
{
"option": "Team 1"
},
{
"option": "Team 2"
},
{
"option": "Team 3"
}
]
}
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7f8b7ce6-d1d9-4961-93b6-22edb0e3c31a",
"name": "Parse Transcript",
"type": "n8n-nodes-base.code",
"position": [
-16,
-64
],
"parameters": {
"jsCode": "const binaryKey = Object.keys(items[0].binary || {})[0];\nif (!binaryKey) {\n throw new Error('No binary data found. Please upload a transcript file.');\n}\nconst binaryData = items[0].binary[binaryKey];\nconst txtContent = Buffer.from(binaryData.data, 'base64').toString('utf-8');\nconst lines = txtContent.split('\\n');\nlet transcriptWithTimestamps = [];\nif (txtContent.startsWith('WEBVTT')) {\n let currentTimestamp = null;\n let currentText = [];\n for (let i = 0; i < lines.length; i++) {\n const line = lines[i].trim();\n const ts = line.match(/^(\\d{2}:\\d{2}:\\d{2}\\.\\d{3}) --> (\\d{2}:\\d{2}:\\d{2}\\.\\d{3})$/);\n if (ts) {\n if (currentTimestamp && currentText.length) {\n transcriptWithTimestamps.push(`[${currentTimestamp}] Unknown: ${currentText.join(' ').trim()}`);\n }\n currentTimestamp = ts[1];\n currentText = [];\n } else if (line !== '' && !line.startsWith('WEBVTT')) {\n currentText.push(line);\n }\n }\n if (currentTimestamp && currentText.length) {\n transcriptWithTimestamps.push(`[${currentTimestamp}] Unknown: ${currentText.join(' ').trim()}`);\n }\n} else {\n let currentSpeaker = null;\n let currentTimestamp = null;\n let currentText = [];\n for (let i = 0; i < lines.length; i++) {\n const m = lines[i].match(/^\\[([^\\]]+)\\]\\s+(\\d{2}:\\d{2}:\\d{2})(.*)$/);\n if (m) {\n if (currentSpeaker && currentTimestamp && currentText.length) {\n transcriptWithTimestamps.push(`[${currentTimestamp}] ${currentSpeaker}: ${currentText.join(' ').trim()}`);\n }\n currentSpeaker = m[1];\n currentTimestamp = m[2];\n currentText = m[3] ? [m[3].trim()] : [];\n } else if (lines[i].trim() !== '') {\n currentText.push(lines[i].trim());\n }\n }\n if (currentSpeaker && currentTimestamp && currentText.length) {\n transcriptWithTimestamps.push(`[${currentTimestamp}] ${currentSpeaker}: ${currentText.join(' ').trim()}`);\n }\n}\nitems[0].json.transcriptWithTimestamps = transcriptWithTimestamps.join('\\n');\nreturn items;"
},
"typeVersion": 2
},
{
"id": "86aa481e-f7aa-40f1-8f45-1d2ffea43d5a",
"name": "Generate Summary",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
272,
-64
],
"parameters": {
"text": "=You are an expert Agile coach. Summarize the following Sprint Review transcript related to the domain: {{ $json.Domain }} and sprint: {{ $json['Sprint name'] }}.\n\nRequirements:\n- Output strictly in Markdown.\n- add header title\n- Start with concise summary\n- Then a brief executive summary (3\u20135 bullets).\n- Then a **Presentation recap** table with columns: Timestamp | Presenter | Topics.\n- Finish with **Action items** as a checklist with owners if recognizable.\n- keep format clean with headers for each sections\n\nTranscript:\n{{ $json.transcriptWithTimestamps }}\n\n\n\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.1
},
{
"id": "1fb90118-9077-4488-9ab1-efbfffc23736",
"name": "Preview Summary",
"type": "n8n-nodes-base.form",
"position": [
816,
-144
],
"parameters": {
"options": {
"customCss": ".card {\n\tposition: relative;\n\tmax-width: 500px;\n\tmargin: 20px auto;\n\tpadding: 20px;\n\tbackground: #fefefe !important;\n\tborder-radius: 12px;\n\tbox-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);\n\tfont-family: 'Courier New', monospace;\n\tcolor: #1f2937;\n\tfont-size: 16px;\n\tline-height: 1.6;\n\twhite-space: pre-wrap;\n}\n\n.header p { text-align: left; }\n\n@media (max-width: 768px) {\n\t.card { margin: 10px !important; padding: 15px !important; font-size: 14px; }\n}\n"
},
"operation": "completion",
"completionTitle": "Summary",
"completionMessage": "={{ $json.output }}"
},
"typeVersion": 1
},
{
"id": "70b492a1-5674-4a79-9ae1-6a773b494ec9",
"name": "OpenAI LLM",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
272,
160
],
"parameters": {
"model": {
"mode": "list",
"value": "gpt-5-mini-2025-08-07"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "adb94eee-700f-48af-b4c5-3298e87bfeb4",
"name": "Save to Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
816,
48
],
"parameters": {
"columns": {
"value": {
"Date": "={{ $('Parse Transcript').item.json.submittedAt }}",
"Domain": "={{ $('Parse Transcript').item.json.Domain }}",
"Content": "={{ $json.output }}",
"VTT file": "={{ $('Parse Transcript').item.json['Transcript file'].filename }}",
"Transcript": "={{ $('Parse Transcript').item.json.transcriptWithTimestamps }}",
"Sprint name": "={{ $('Parse Transcript').item.json['Sprint name'] }}"
},
"schema": [
{
"id": "Date",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Domain",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Sprint name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Sprint name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Content",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "VTT file",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "VTT file",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Transcript",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Transcript",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "output",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "output",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Date"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/your sheetlink",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1rNGViGRvVgIol0mJzsShXF7h21TC6L3eKt4R8i21AG4",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1rNGViGRvVgIol0mJzsShXF7h21TC6L3eKt4R8i21AG4/edit?usp=drivesdk",
"cachedResultName": "Sprint Review Summary"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.6
},
{
"id": "d884f161-0977-46a2-8b0b-f59c9a97b942",
"name": "Sticky: Overview1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
-336
],
"parameters": {
"width": 256,
"height": 240,
"content": "## Overview\nSprint Review Transcript \u2192 AI Markdown Summary \u2192 Google Sheets\nInputs: File (VTT/text), Sprint name, Domain.\nOutputs: Preview in UI + archived row in Sheet."
},
"typeVersion": 1
},
{
"id": "2886f243-599a-4328-a889-cf57d1b171b7",
"name": "Sticky: Input Form1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
112
],
"parameters": {
"content": "## Input Form\nCollects transcript file + sprint + domain."
},
"typeVersion": 1
},
{
"id": "d201c8f4-cbf7-475e-80ce-329d020862eb",
"name": "Sticky: Parser1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-336
],
"parameters": {
"height": 192,
"content": "## Transcript Parser\nNormalizes to `[HH:MM:SS] Speaker: text`.\nSupports VTT and simple speaker/timestamp lines."
},
"typeVersion": 1
},
{
"id": "1f1c40ee-cd8f-4899-b0eb-9bef6e59e1e3",
"name": "Sticky: AI Summary1",
"type": "n8n-nodes-base.stickyNote",
"position": [
256,
-320
],
"parameters": {
"content": "## AI Summary\nCreates executive bullets, recap table, and action items in Markdown."
},
"typeVersion": 1
},
{
"id": "946883d1-348d-4f49-9caa-ffad446422d2",
"name": "Sticky: Preview1",
"type": "n8n-nodes-base.stickyNote",
"position": [
784,
-272
],
"parameters": {
"height": 256,
"content": "## Preview\nShows the generated Markdown with custom CSS."
},
"typeVersion": 1
},
{
"id": "147f0d86-0272-41a7-a447-9cb8d1a9c0f4",
"name": "Sticky: Sheets1",
"type": "n8n-nodes-base.stickyNote",
"position": [
784,
224
],
"parameters": {
"content": "## Archive to Sheets\nSaves summary + transcript + metadata (date/domain/sprint/file)."
},
"typeVersion": 1
},
{
"id": "e38cebcc-793b-48cb-a1ee-3ae85d8ac289",
"name": "Sticky: LLM1",
"type": "n8n-nodes-base.stickyNote",
"position": [
192,
288
],
"parameters": {
"content": "## LLM Backend\nOpenAI Chat Model used by AI Agent."
},
"typeVersion": 1
}
],
"connections": {
"OpenAI LLM": {
"ai_languageModel": [
[
{
"node": "Generate Summary",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Generate Summary": {
"main": [
[
{
"node": "Preview Summary",
"type": "main",
"index": 0
},
{
"node": "Save to Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Parse Transcript": {
"main": [
[
{
"node": "Generate Summary",
"type": "main",
"index": 0
}
]
]
},
"Collect Sprint Review Input": {
"main": [
[
{
"node": "Parse Transcript",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleSheetsOAuth2ApiopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This template automates the entire process of documenting Sprint Reviews in Scrum: Input Collection – Through a friendly form, users upload the transcript file (meeting notes, sprint review transcript, or VTT captions) and specify the sprint name and domain. Transcript Parsing –…
Source: https://n8n.io/workflows/8400/ — original creator credit. Request a take-down →
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