Version 1.5 Update

Optimizing search and categorization, and imagining a new discovery of local stores and products.

TYPE
Full Time
Contract

TEAM
David Park UX
Cardia Summers CEO
Jenya Hwang COO

TIMELINE
14 Weeks

OVERVIEW

Cheers

Cheers is a startup focused on delivering alcoholic beverages from local stores and bars directly to users. Its aim is to reduce foot traffic and save time for customers looking to get drinks from some of NYC's finest liquor markets.

As the lead designer from start to finish, I worked closely with the team to evaluate the core needs of the company's objectives and proposed various solutions for mobile app interactions.

I designed a zero to one concept of our entire discovery flow which aligns with the business's two-prong approach in helping both liquor stores and bars.

How do we suggest?

USER FLOW / DISCOVERY

The goal is to design a seamless user flow, enabling effortless exploration of recommended products and insights on crafting favorite beverages. These entry points should be integrated naturally within product card pages, business profiles, and other relevant sections.

User Flow Diagram depicting Discovery by
means Learning + personal customization

Visual UI

HYPOTHESIZING DESIGNS

Understanding the business objectives and current problems with the current experience, I began exploring wireframes based on our user flow. I started by solving the organization for the home page and then introduced new ways for users to discover products.

HOME

Progressive disclosure, aided by titles and the hierarchy in categories and subcategories, helps ensure users understand their position in the search experience. Consistency across screens also makes it easier to identify content on the page.

Home Page- Categorization

LOCAL FAVORITES + FOR YOU

The first step was to separate products into those personalized to the user and those that local users enjoy and find popular. By bringing discovery directly to the user, we can reduce the need to scroll through countless products, ultimately improving the retention rate.

Discovery : Product & Store Display

Discovery : Local Favorites

Discovery : Personalization Filter Modal

UPDATED PRODUCT CARD

Previously, users struggled to see the uniqueness of our offerings due to a lack of distinctive factors. Integrating details like where the drink is made, ratings, and buzz level increases customer confidence and buy-in.

Discovery : Product Card

LEARN OR PURCHASE - DISCOVERY INTEGRATION

Based on prior research findings, where approximately 71% of the 2000 surveyed participants actively seek drink recipes online, we can leverage our platform to provide users with convenient access to take-home drink recipes, tapping into this consumer behavior trend.

Discovery : Learning + Shopping

INTRODUCING CHEER'S PRODUCT ECOSYSTEM

CATEGORIZATION + NEW LAYOUT

Prioritized a hierarchical order of categories to maintain consistency and easy understanding.

Previous solution:

Users had to rely on search or had to tap on home to reset.

FILTERS TO UPDATE SUGGESTIONS

Offering users the ability to set custom filters, including difficulty, occasion, and party size.

Previous solution:

Filters was non-existent and users can rely on search.

LOCAL FAVE OR FOR YOU

Users can switch between views to see drinks that are locally popular and products based on their recent orders.

Previous solution:

Users weren't recommended any drinks, leaving them unaware of local favorites or products they might enjoy.

LEARNING IN-APP PURCHASE

Users can learn how to make custom drinks then purchase ingredients to recreate them at home.

Previous solution:

Only had one option to purchase via product card

WHY IS THIS A PROBLEM?

To understand the current state of Cheers, I interviewed Cardia, the Executive Officer of Cheers, Operating Officer, and several customers of the application. In helped me to peel back the deeper insights. The consolidated findings…

Struggle to checkout

It is difficult for customers to stay motivated in searching for a product without progressive disclosure.

Lack of Discovery

Users, often struggle to understand how they are suggested drinks that might be of potential interest

Lacking Refined Search

Manually looking for items that fit a customers taste or preferences is nonexistant and leads to wasted time.

Lacks differentiation

Customers are looking to also acquire alternative products like ingredients to create their favorite beverages at home.

LETS BUILD AND CONNECT TOGETHER