Creates a new team for a project from webhook form data. When the project is created the current semester is added to it's relation attribute. More info can be found on using this workflow as part of a larger system here.
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See all Notion→CallForge - 07 - AI Marketing Data Processing with Gong & Notion
CallForge - AI-Powered Marketing Insights Extraction from Sales Calls Automate marketing intelligence gathering from AI-analyzed sales calls and store insights in Notion. 🎯 Who is This For? This workflow is designed for: ✅ Marketing teams looking to extract trends and insights from sales conversations. ✅ Product managers who need direct customer feedback from sales calls. ✅ Revenue operations (RevOps) teams optimizing AI-driven call analysis. It streamlines AI-powered marketing intelligence, identifying customer pain points, competitor mentions, and recurring trends—all automatically stored in Notion. 🔍 What Problem Does This Workflow Solve? Manually reviewing sales call transcripts for marketing insights is time-consuming and inconsistent. With CallForge, you can: ✔ Extract key marketing insights from AI-analyzed sales calls. ✔ Track recurring discussion topics across multiple conversations. ✔ Generate actionable marketing recommendations for strategy and content. ✔ Store structured insights in Notion for seamless access. This automation eliminates manual work and ensures marketing teams get data-driven insights from real customer conversations. 📌 Key Features & Workflow Steps
CallForge - 08 - AI Product Insights from Sales Calls with Notion
CallForge - AI-Powered Product Insights Processor from Sales Calls Automate product feedback extraction from AI-analyzed sales calls and store structured insights in Notion for data-driven product decisions. 🎯 Who is This For? This workflow is designed for: ✅ Product managers tracking customer feedback and feature requests. ✅ Engineering teams identifying usability issues and AI/ML-related mentions. ✅ Customer success teams monitoring product pain points from real sales conversations. It streamlines product intelligence gathering, ensuring customer insights are structured, categorized, and easily accessible in Notion for better decision-making. 🔍 What Problem Does This Workflow Solve? Product teams often struggle to capture, categorize, and act on valuable feedback from sales calls. With CallForge, you can: ✔ Automatically extract and categorize product feedback from AI-analyzed sales calls. ✔ Track AI/ML-related mentions to gauge customer demand for AI-driven features. ✔ Identify feature requests and pain points for product development prioritization. ✔ Store structured feedback in Notion, reducing manual tracking and increasing visibility across teams. This workflow eliminates
Transcribe and summarize Notion meeting recordings with Gladia
Quick overview This workflow triggers on new meeting entries in a Notion database, sends the recording URL to Gladia for transcription with diarization and summarization, polls until the job completes, and then writes the summary and full transcript back to the same Notion page. How it works Triggers when a new page is added to the selected Notion meetings database. Reads the page’s “Recording URL” and starts an asynchronous transcription job in Gladia with speaker diarization and summarization enabled. Waits for a configured interval and repeatedly checks Gladia for the transcription result until it returns done or the maximum poll attempts is reached. When processing completes, updates the Notion page Status to “Transcribed” and writes the returned summary to the “Summary” property. Splits the full transcript into Notion-safe text chunks and appends them to the meeting page as blocks. If Gladia returns an error or the polling times out, updates the Notion page Status to “Failed” and writes a failure message to the “Summary” property. Setup Use a self-hosted n8n instance and install the n8n-nodes-gladia community node (Settings → Community Nodes). Add credentials for the Notion AP