Turn unstructured meeting data into a concrete, data-driven understanding of your company's real culture. Use AI to analyze meeting transcripts and generate a cultural handbook that can then be used to create objective hiring rubrics.
with Claire Vo
Let a meeting recorder and summarizer tool like Granola run in the background of all company meetings for a period of time. The more data the tool collects, the more accurate the final cultural analysis will be.
Within Granola, use the built-in 'Recipes' feature. Select and run the recipe named 'Build the unspoken company culture handbook' to have the AI analyze all collected meeting transcripts.
Review the document generated by the AI. It will describe how your organization actually works based on observed behaviors, communication patterns, and decision-making processes from the meetings.
Copy the text from the AI-generated culture handbook and paste it into a large language model like ChatGPT. Use a prompt to ask the AI to convert the cultural insights into a practical, actionable scoring rubric for interviews.
Hey, can you take this unspoken culture and actually generate a set of scoring prompts for how to evaluate somebody in an interview against these traits that match Zapier?
Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.
Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.
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