Learn to use ChatGPT to translate, analyze, and categorize hundreds of pieces of global user feedback in minutes, turning raw data into actionable product insights and a shareable presentation.
with Claire Vo
Export all raw user feedback (e.g., from a survey or database) into a single file. Open ChatGPT and upload this file directly to leverage its built-in data analysis capabilities.
Give ChatGPT a detailed prompt instructing it to act as a product analyst. Ask it to identify common themes, sentiment, and specific areas of strength and weakness, rather than just a simple summary.
This is some feedback we've received about our AI Image editing feature. I want you to analyze the feedback and find where we are doing poorly, and where we are doing well. Break down for our product team, what kinds of things we are doing well and why, and what kinds of things we are doing poorly and why. What do people love? What do people hate? Where can we improve?Copy the entire text output from ChatGPT's analysis. Paste this content directly into Gamma and use a simple instruction, like 'use charts and graphs,' to automatically generate a polished, shareable presentation summarizing the research findings for your team.
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.