Quip, Wongdoody

Project Timeline: 10 weeks

Team: 4 Designers (Surbhi, Apeksha, Divya and Sajal)

Year of Completion: October 2019

Role: UX Researcher, UX Design

Overview

Quip is a solution to in-campus store delivery. We initiated by looking into the in-campus convenience store and find out about the pain points and how to better the experience. We based our research on large campuses, like residential, university or offices, usually with one shopping store with limited supply of products available.

Product Initiation

As the user experience designers for our ten weeks bootcamp we set to look on the convenience store, we set out our research with this question.

Design Research

Quantitative Research

We prepared a detailed interview questionnaire to find problems during in-campus shopping experience

Sample Size: 22
Demographics: 54% within the age range of 22-23 (Young Millennials)
13 out of 18 surveyors wanted an option for delivery service.
50% were ready to pay a premium service to avail faster delivery option.

Qualitative Research

An online survey was shared with a sample audience across 3 closed campuses to understand their shopping patterns and how frequently in-campus stores are used.

Interviewees: 20 Interns/ Employee and 04 Store Operators
Highlighted the users expectations and store functioning
Smaller stores have limited product availability which is catered based on the demand, taking 2-4 days to receive.
Users prefer delivery options availability.

Based on the primary research, we set our Target Audience

College Students

Working Professionals

Families

User Persona

Meet Raghav

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"

Managing time is crucial at the start of my career.

Raghav Mitra (23, Male) is an Engineering intern in a multi national company.

Stays late in the office
Hasty
Foodie, ends up stocking snacks for late night eating.
Needs friends opinions while shopping.

Customer Journey

Pain Points

Reaching the store takes more time than shopping.
Lot of time is wasted in navigating for the products.
No option for getting snacks in the night.

Opportunities

Reducing the overall time to visit, search and carry products back.
Option of pre-ordering
Late night buying
Finding products quickly
To take opinions, without physical presence of friends
Easy bill splitting

Saving Time

Value of Money

Convenience

How Might We make shopping experience smooth, quick and convenient.

Minimizing the time and effort for users by developing a sustainable delivery system and introducing them to a smart and personalized shopping experience.

Design Iteration

We brainstormed the major components and features of the proposed solutions. We created a series of actions and in a co-design workshop did a card sorting activity with the target audience.

Card Sorting

This gave us an insight of the steps a user takes while visiting a store in person and the steps when ordering online

Information Architecture

We created new information architecture based on the insights and feedback gathered from the card sorting.

Low Fidelity Wireframes

We designed low- fidelity wireframes to test our concept. Based on the feedback and user interactions and point of difficulties we further modified are designed to make it easy to use.