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AI Recommendation Tool

Mobile-first quiz and recommendation engine that boosted personalized nutrition sales by $250K/month.

The Nutrition Recommender

Overview

  • Problem: Amway direct sales representatives, aka Amway Business Owners (ABOs) struggled with recommending nutrition products; lacked scalable personalization tools.

  • Role & Team: As UX Lead, I partnered across functions—including product, marketing, engineering, and our design system team, where I also played an active role.

You can see the quiz flow and personalized recommendation UI in this short video demo.

The Process

Sketched chatbot flows, mid-fidelity wireframes, and final hi-fi screens. Iterated based on prototype testing: simplified question language improved completion by 15%.

Whiteboard sessions when we kicked off this project

Research & Insights

  • Eight user interviews and 15 survey responses revealed that users wanted guided yet quick help (preferred quizzes).

  • Stakeholder interviews indicated that compliance and brand consistency were critical.

Design Implementation

Integrated quiz and results pages into Amway’s UI kit. Key screens: quiz step, product recommendation, sharing features (ShareBar/MyShop - I was also the design lead on those projects).

Design concepts

Image 1: a conversational chatbot experience; Image 2: a survey (this is what launched); Image 3: results page and product recommendations on the live site.

Launch & Results

  • Launched MVP in Q3 2020 for $84,000 investment.

  • Results: $250,000 monthly incremental revenue, 70% quiz completion, positive qualitative feedback

  • Led to expanded Wellness Recommender.

Learnings & Next Steps

  • Future: A/B test conversational interface vs. quiz to see which drives higher conversion.


Live Site

Nutrition Recommender User Journey