Posting this because… honestly, it’s madness this isn’t already how feedback works
Here’s the simple truth:
Every week, thousands of users submit feedback and feature requests. Most of it vanishes into a black hole because it’s impossible for product teams to sift the signal from the noise—especially at OpenAI’s scale.
But isn’t that exactly what ChatGPT is built for? Pattern detection, signal-spotting, and sense-making in a sea of chaos? It’s time to dogfood the tech.
What I’m Proposing:
- Pipe all user feedback through a dedicated, context-tuned instance of ChatGPT.
- Give it the job of identifying genuinely actionable, novel, and valuable ideas—whether that’s a killer feature request, a recurring pain point, or a suggestion that would change the game for power users.
- Have it generate a regular digest (weekly, bi-weekly—whatever fits) of the top 10–20 “most impactful” feedback items for product teams, with enough context for immediate triage.
Why This Matters:
- No human team can keep up with the volume and nuance. ChatGPT can—and will get sharper with every cycle.
- It’s not about “feeling heard.” It’s about getting actually heard, with ideas rising to the top based on quality, not just keyword spam or upvotes.
- If you believe in your own tech, prove it. Use the world’s best language model to make your own product and feedback loop smarter, not just noisier.
How It Looks in Practice:
- User submits feedback as usual—no extra friction.
- Behind the scenes, ChatGPT tags, clusters, and ranks based on quality, novelty, business impact, and feasibility (as defined by product leadership).
- Product teams get a signal-rich summary—no helpdesk abyss, no manual trawling, just the gold.
Bottom Line:
OpenAI shouldn’t just be generating feedback—it should be surfacing the best of it for real action. If ChatGPT can’t do this for itself, why should anyone trust it to do it for the world?
Time to eat your own dog food.
Let the model sort the mail. You might just find the next great idea was already in your inbox.
If ChatGPT can’t find the best ideas in its own feedback pile, what are we even doing here?