Embedding AI Features: The Messy Middle Between POC and MVP
· 9 min read
This article is a summary of my PM experience on designing an artificial intelligence (AI)-based capability for an existing product from the proof-of-concept (POC) stage to a minimal viable product (MVP).
When you are adding an AI feature to an existing product, you can either:
- introduce an entirely new functionality
- extend existing functionality with AI possibilities.
In my case, the latter is true: we aim to introduce AI search to enhance user experience. It sounds pretty trivial, I acknowledge that. The challenge is that search is the critical functionality for that product.
Therefore, we need to introduce a new search method to provide users with more value than the existing one. If AI search works "just good enough," then a traditional one could be considered a failure.
The improvement must be substantial, because of …