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Personalized Shopping

In-progress preference flow that tailors plan recommendations and supports telesales with structured user insights.

Personalized Shopping

Overview

Client: UnitedHealthcare | Status: Ideation

An in-progress feature designed to simplify Medicare plan selection by capturing user preferences upfront, enabling smarter recommendations and supporting telesales agents during AEP.

Problem: n some ZIP codes, users face up to 43 plan options with no clear way to filter based on needs or budget, leading to confusion and drop-off.

Goal: Capture user preferences early to reduce cognitive load, personalize recommendations, and streamline both digital and agent-assisted experiences.

Role and team: I’m leading UX in partnership with product, engineering, and telesales teams to align the digital experience with new agent workflows.

Wireframe concepts – desktop

Design process and iteration highlights:

  • Mapped the end-to-end shopper journey

  • Researched and wrote preference questions

  • Prototyped a mobile-first flow for both seniors and agent texting workflows

  • Validated with internal and external users

Impact:

  • Piloted with 10,000 accounts

  • 3,000 users engaged during AEP

  • Enabled telesales agents to gather preferences pre-call via text

Wireframe concepts – mobile

Current status

Flow highlights:

  • 4–5 step mobile interface

  • Covers coverage type, plan needs, budget, and Medicaid status

  • Works for both guests and logged-in users

  • Integrated into agent dashboard

Design challenges:

  • Supported varying digital literacy

  • Balanced clarity with brevity

  • Built fallback logic for incomplete flows

Next steps:

  • Expand preference types (e.g., meds, pharmacies)

  • Tie preferences to plan sort logic

  • Test alternate entry points (chatbot, email)