Led ideation and implementation process Collaborated with: CTO, Developers and Customer Support

TL;DR / Quick Recap

📉 Problem

AI-powered assistance was technically available but was functionally invisible — users weren’t engaging with it because it didn’t fit into their natural workflow.

🔎 Why?

Beyond visibility, we needed to understand why users weren’t actively seeking AI help. Was it due to trust, habit, or perceived usefulness? Assumption: They were too focused on their work, too overwhelmed to search.

🎯 Solution:

• First Iteration: Repurposed an existing AI chat feature with minimal development overhead.
• Beyond Quick Fixes: Realized that chat-based AI was not an ideal long-term approach and shifted toward embedding AI suggestions contextually in the writing process.

📈  Results

Since structured validation processes weren’t in place, I collaborated with customer support to gather qualitative insights. At the same time, I advocated for formal validation loops and analytics tracking to ensure future teams could measure engagement and refine the assistant based on real user behavior.

AI Assistant Simplified.mov