AI Product Design
Crafting Hyper-Personalized Notifications for a Social Dining App
Standard notifications fail to engage users. The goal is to leverage AI to deliver social proof-driven, scarcity-based, and personalized nudges that adapt to each user's journey, transforming notifications from interruptions into valuable opportunities for connection.
with Hyper-Personalized Nudges
These attributes form a deep understanding of the user's social and dining preferences, creating a rich vector for matching.
Event vectors capture the essence and social context, allowing for nuanced matching beyond simple tags.
"Welcome! Here are 3 dinner parties happening this week your friends might like."
"Only 3 spots left at the 'Taco Tuesday' your friend John is attending!"
"How was the pizza night? Here's another event from the same host."
"We miss you! 5 of your friends joined events last week. See what's new."
(e.g., User Login, New Event)
Initiates RAG Workflow
Fetch user/event vectors from MongoDB Atlas
LLM drafts message with retrieved context
Agent checks for tone, accuracy, and spam risk
Queue & Distribute Message
Deliver via Push, SMS, Email
As user data deepens, the system transitions from rule-based fallbacks to sophisticated, LLM-crafted messages, ensuring relevance at every stage of the user's engagement.
Measures immediate notification relevance and appeal.
Tracks how effectively nudges drive core actions.
Gauges success of gamified nudges to enrich user data.
The ultimate measure of long-term platform value.