Use AI to turn unstructured feature requests into a prioritized shortlist in minutes.
You get feature requests from all directions—sales calls, support tickets, customer emails, Slack messages. Sorting through them to find patterns and decide what matters most can take hours. AI can help you organize the chaos and build a prioritized shortlist in a fraction of the time. **Step 1:** Copy all your raw feature requests into one document. Don't worry about formatting—just paste everything: bullet points, full emails, messy notes, whatever you have. **Step 2:** Paste that list into ChatGPT or Claude and ask it to group similar requests into themes. The AI will scan for patterns and cluster related ideas together, saving you from doing it manually. **Step 3:** Ask the AI to count how many requests fall into each theme. This gives you a quick sense of what's coming up most often. **Step 4:** Tell the AI to flag which themes align with your current product goals or strategy. You can give it a one-sentence summary of your priorities, and it will highlight what fits. **Step 5:** Ask the AI to create a prioritized shortlist with the top 5–7 themes, ranked by frequency and strategic fit. You now have a clean, defensible starting point for your next planning conversation. **Step 6:** Review the output, adjust based on your judgment, and share it with your team. You've turned hours of manual sorting into a 15-minute exercise.
Try this prompt today
“I have a messy list of feature requests from customers, sales, and support. Please group them into common themes, count how many requests fall into each theme, and then create a prioritized shortlist of the top 5–7 themes. Rank them by how often they appear and how well they align with this goal: [insert your current product priority, e.g., 'improve onboarding for new users']. Here's the list: [paste your raw requests]”
March 22, 2026
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