Leverage a custom AI agent to pull data from multiple sources like Slack, Zendesk, and call transcripts, then use targeted prompts to perform thematic analysis and drill down into specific customer insights.
with Claire Vo
Configure your AI tool to pull in customer feedback from all relevant sources, such as Slack channels, Zendesk tickets, Product Board entries, and transcriptions of customer calls.
Use a broad prompt to ask your AI agent to identify the top themes and questions from the aggregated customer feedback dataset.
Analyze recent customer feedback from Slack, Zendesk, and call transcripts to identify top themes and inquiries.Once you have the high-level themes, use a more specific follow-up prompt to get details on a particular area of interest.
Give me more details on customer requests for connecting session replay to funnel analysis.Review the output from the AI, which should provide not just summaries but also direct quotes and context from the original feedback, ensuring the analysis is grounded in real user comments.
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.
Improve your writing in real-time by using ChatGPT as a first reader. Get instant feedback on structure, clarity, and flow as you write, allowing you to polish your work section by section.
We've made ChatPRD affordable so everyone from engineers to founders to Chief Product Officers can benefit from an AI PM.