AI Product Operations
Turning AI features, user insights, and product data into better growth decisions.
Context
Context & Scope
Supported the end-to-end operation of new AI features across Web and App, spanning feature launches, growth campaigns, user retention, analytics, and competitor insights. Worked closely with product and design teams to translate user and market signals into product improvements.
- Day-7 New User Retention
- 24%
- Resource Slot Allocations
- 100+ / month
- Product Improvements Implemented
- 3
From feature launch to user growth.
01Feature Launch
Planned and executed the rollout of new Web and App features, creating tutorials and launch materials to help users understand and adopt new capabilities.
02Growth Activation
Used in-product placements and timely campaigns to connect new features with user demand and broader growth objectives.
03User Retention
Tracked user behavior and retention signals to understand how new features performed after launch and inform further optimization.
04Data & Product Iteration
Combined product analytics and competitor research to identify opportunities, recommend improvements, and support iterative product decisions.
Evidence
Tutorials & Product Interface
Results
Operational work, translated into product metrics.
- Day-7 New User Retention
- 24%
- Day-7 New User Retention
Reflection
Good product operations is not just about launching features. It is about helping the right features reach the right users, understanding how they perform, and turning those signals into better product decisions.
