Just Launched: AI-Enhanced Feedback That Actually Makes Sense

Hey IH! Excited to share a new feature I just shipped that helps users write better, more actionable feedback.

The Problem

While building our feedback system, I noticed two issues:

1. Users often submit vague or incomplete feedback

2. Product teams spend extra time asking for clarification

The Solution

I added an AI enhancement feature that learns from your existing feedback database and knowledge base to suggest more polished, well-rounded feedback entries.

Here's how it works:

• User starts writing feedback

• Once they have enough content (min 50 chars), a magic wand ✨ appears

• Click it, and AI analyzes the feedback against similar past entries

• Suggests an enhanced version with better structure and clarity

• User can preview and choose to apply the changes

• User can proceed to edit the enhanced feedback

The cool part? It's not just generic AI rewrites. Since it's trained on your actual feedback history and knowledge base, the suggestions are contextually aware of your product's terminology and common patterns.

As the feature is fresh out of the oven I'm still tweaking some similarity thresholds to get optimal results, but even in the early stage results look promising.

Transform this:

To this:

Would love to hear your thoughts! Has anyone else tackled this problem differently?