Eventpick App | becky's portfolio

Good Things, Your Way

The Eventpick App thrives in assisting users to pick the best-fit restaurants and events at the right moment through influencers generated content and machine learning generated recommendations. Eventpick value in-person experience and the memory, inspiration and impact experiences bring to life.

A native mobile app, launched in 2017

app feature restaurant 1

category page

detail page

app feature restaurant 1

1/5

The Problem

The overseas Chinese Millennial group is currently underserved with limited channels and content to truly discover what their city has to offer. The existing products in the Chinese community were designed ages ago, they lack quality content and introduction to bridge the language and culture gap with too much irrelevant information that takes time to screen and filter along with complex and outdated entertainment experience.

The Solution

While our target users are a group with high spending power and curious to explore new things. The Eventpick mobile app provides a seamless one-stop solution from content, community, deals and payment to users so as to enjoy their local experience exploration.

MY ROLE

Design lead, generate and drive design concepts with innovative approaches from research to implementation, work with our marketing, sales, product team on brand and product strategies. Design our digital products as well as marketing online and offline branding assets.

Design Process

Competitive Analysis

User Research

In order to get to know users’ needs, motivations and challenges, it is necessary to make it possible to design an app that take these factors intos account; also to help determine the user persona, I chose to conduct user interviews and a survey with people in the 18 - 36 age demographic to uncover insights and learn more about their entertainment habits.

Key Findings:

85% of users prefer meeting with friends on weekends to gather in restaurants so events are a plus.

75% of users share their dining photos or events photos afterwards on social media channels,

Eye catching photos and content play an essential role in their decision making when making dining decisions,

My Takeaways:

‍

The product has to be collaborative with mainstream channels, wechat, weibo, not disconnected or directly competing with them.

To create a community around the product is essential to grow the tribe.

Most Users have phone checking routines, eg: wake up in the morning. App content, daily updating and notifications can be associated with this routine.

Users

After the user research, we found there are 3 user groups that can be extracted as personas to summarize the common patterns from the many users.

Manager

Meet Peter

Artist

Meet Ming

Fresh Crew

Meet Sara

Peter is incredibly busy with his career, he would like to spend less time on searching and exploring restaurants and events information and wishes that there was one product that can recommend the relevant information at the right time.

Ming is on the stage and would like to participate in meaningful activities and get to know more like-minded friends, improve himself through an impactful network.Lack of activities information is his biggest challenge.

Sara just graduated from university, and is quite new to the city. She would like to meet more people, expand the network, get to know more delicious restaurants and fun activities, make full and reasonable use of limited resources.

User Journey

To help us understand how the user models behave, feel and think when they have a certain goal in a context, here is part of the journey map we did for Peter during his weekdays dining scenario, from the moment he would like to search for a place for lunch to finishing his dessert then get home.

App Features

By following the User Journey, a clear idea of who we were designed for and what their needs are, we built the essential features for the 1.0 version.

Curated feature recommendation - satisfying the goal to easily browse daily curated content, the full cover page swiping feature makes it efficient for users to explore new ideas.
Search nearby - discovering the best places around can save the effort of a long commute and enable one to get familiar with the local community offerings.

Sharing with friends - this feature allows users to quickly share their exciting treasure hunt results with their friends on other social channels, in order to invite and plan the offline fun.
Favourites - save the favourite ones into the personal treasure box for next gathering ideas, no need to spend more time recalling memories when the user needs it.