ESPRIT

Omni-channel Initiatives Process

Overview

In response to the evolving demands of the apparel retail sector amid the COVID-19 pandemic, ESPRIT is navigating the shifting retail landscape. Our team initiated omni-channel strategies to cater to evolving customer expectations, prioritizing seamless, safe, and convenient shopping experiences. As ESPRIT aimed to refresh its target customer base to a younger audience, our team explored the preferences of Gen Z, Millennials, and Xennials within the US market.

This case study highlights the process of our team in researching and developing solutions.

Project duration
July 2023–March 2024
Team
Omni-channel team of 4 with 2 designers
My role
Customer Experience Design
involvements
Research, Persona, Customer Experience Journey, UX Design
Research
User flow
Wireframe
Design system
Visual design
Prototyping
Testing

Process overview

Research
User research—Our research commenced with interviews and surveys conducted with 10 individuals residing in the US and from both the US and Canada to gain insights from shoppers.
California interviewees—The planned inaugural shop will be located in California, we made a concerted effort to engage participants from this region, successfully securing interviews from Californian residents.
Secondary research—Extensive online research on evolving consumer trends, market analysis, and insights into consumer demographics was done to gain insights on fashion, design and lifestyle trends.
Competitors research—Studying how rivals blend online and offline channels to enhance the overall customer shopping experience, aiming to identify competitive advantages and areas for improvement.
Design Artifacts
Persona—After in-depth research and aligning with ESPRIT's business needs, 3 personas were crafted: Gen Z, Millennials, and Xennials.
Identity Touchpoints—Map out all the touchpoints where customers interact with our services across different channels—online, in-store digital devices, in-store personal interaction, mobile, social media, etc.
Optimize Journeys—For every service, we would do multiple iterations of journeys to Identify areas for improvement, optimize the customer journey by addressing pain points, and ensure consistency across all channels.
Developer Collaboration
Sprints—The developer and I are constantly communicating. We planned sprints and mile stones for different use cases, and we share insights and feedback after testing.
SIT and UAT—Each time we finished a use case, I would write out different scenarios for internal testing. I also participated in UAT testing to gather feedback from testing group, then I would generate feedback reports for the developer and I.
Problem statement

The demand of online food ordering and delivering has been skyrocketed since the pandemic hit the world. People are avoiding going to places with crowd gathering, and they are turning to ordering food from their cellphones at their home and office.

Hypothesis:
The business owner is looking to create an app to expand its business by offering online purchase for delivery order and pick-up order. To boost customers' loyalty, the business owner would also like to include a Instagram-like social sharing feature.
Problem:
Due to social distancing policies, to-go food ordering is become a necessity for many people. Major players such as Foodpanda and Deliveroo have dominated the online food order market. Lesser known restaurants have a hard time standing out from the crowded market, thus hard to build brand loyalty and recognition.
Business goals:
While still offering delivery services through the major platforms, this app aims to be the main hub for customers to get all the best benefits (such as exclusive deals) from ordering directly from the restaurant itself, therefore strengthening brand recognition and getting more opportunities to directly promote to customers.
  • Loyalty—offering exclusive experience and benefits that customers don't get from other food delivery platforms.
  • Direct promotion—cutting out the middle man to directly promote to customers.
Project statement

The COVID-19 pandemic has shifted customer expectations in apparel retail towards omni-channel shopping, focusing on seamless, safe, and convenient experiences. ESPRIT faces the challenge of understanding and addressing the diverse needs of its target demographic while optimizing shopping experiences across various channels. 

Decisions of which strategies we were going to tackle were already made prior to my involvement. With the company capability, the decision was made to focus on BOPIS, BORIS, ROTIS, in-store purchase and ship to home, and clientelling.

This study aims explain methods that we used to explore customer shopping journeys within different omni-channel strategies to enhance satisfaction, loyalty, and overall engagement in a changing retail landscape.

Feature requirements

Whilst designing the app from scratch, which means basic functions such as sign-up, sign-in, setting menu, etc. are included, two main features were required by the business owner—a full-fetched ordering use case, and an Instagram-like sharing feature for customer review use case. The intricacies of these use cases will be decided by me.

This case study will focus on the ordering process, since the Instagram-like sharing feature leaves little room for exploration.

Research and analysis

User Research

We began our research by interviewing and surveying 10 individuals from the US and Canada to gather shopper insights. Given our store's upcoming launch in California, we prioritized engaging participants from this region, successfully securing Californian respondents. While I have personal experience with California's shopping landscape, I am mindful not to let my biases influence our decision-making process in order to maintain an objective understanding of the issue.

The following are notable quotes from the research findings.
Main References
WSGN
Nordstrom
Ralph Lauren
Nike
Decathlon
I like to go to the store and have a feel of the product before buying it.
I had a lot of returns due to the shipped products not meeting expectations.
The inconvenience of returning makes me not want to buy from the seller again.
Long online response time really annoys me.
I like that the store has in-store return, simply because online return is annoying, due to all the hassles I had to deal with, such as shipping labels.
Estimated shipping time are usually inaccurate and unpredictable.
Research and analysis

Secondary Research

In our user studies, we heavily relied on the insights gleaned from reports and forecasts regarding customer behavior and trends from WGSN. Our research predominantly centered around understanding our customers' pain points, behaviors, and needs. While trend forecasts were not our main focus, they provided valuable insights to help us anticipate market shifts.

When conducting competitor research, we selected Nordstrom as our primary benchmark because they operate within a similar market segment as ours, and have a highly developed omni-channel service. Additionally, Ralph Lauren, Nike, and Decathlon have established themselves with successful omni-channel strategies that we believe offer valuable lessons for our own development.
Main References
WSGN
Nordstrom
Ralph Lauren
Nike
Decathlon
Primary Research
Interviews were done with the business owner who understand the business operation and their customers behavior, and random everyday people who make to-go orders through either phone call or apps.
Takeaways
From interview
Remark: these interviews were done during the pandemic, which might affect customers behavior towards to-go orders
  • They prefer to-go orders to avoid leaving the house/office
  • Delivery order is convenient
  • They get frustrated when apps "lie" about the ETA
  • To avoid crowd and avoid wait time
From business owner
Remark: delivery order has not been made available before this app was made
  • At peak hours, pick-up orders customers still form a long queue due to high number of ordes
  • Customers prefer sitting down to enjoy a cup of coffee

Interviews are conducted to find out. Here are the mutually common and exclusive key take-aways:
Common
  • Meeting people and/or joining events at unfamiliar/new places
  • Rely on landmarks for clues (e.g., next to a McDonald's)
  • Map app doesn't improve low sense of direction
Real world
  • Road signs are confusing
  • Map app doesn't improve low sense of direction
  • Find places of interest (e.g., restaurant, hotel, attractions)
  • Search is a primary function
  • Struggles to find destinations that are right next to them
  • ETA is important
Virtual world
  • Joining friends for events is one key reason why interviewees travel
  • Teleportation is usually preferred, but not always
  • Teleportation isn's always preferred. Enjoy walking to a place and looking at the surrounding places, socking up the scenery, experience what goes between two places (e.g., a chance to gain experience points)
  • Do not rely on road signs at all
  • Not a first-persona perspective
Predetermined Solutions

The strategies we were slated to pursue had already been determined before my colleague and I joined the project. By harnessing the company's capabilities, we had committed to prioritizing BOPIS, BORIS, ROTIS, in-store sales, ship-to-home services, and clienteling initiatives.

Feature requirements

Whilst designing the app from scratch, which means basic functions such as sign-up, sign-in, setting menu, etc. are included, two main features were required by the business owner—a full-fetched ordering use case, and an Instagram-like sharing feature for customer review use case. The intricacies of these use cases will be decided by me.

This case study will focus on the ordering process, since the Instagram-like sharing feature leaves little room for exploration.

Recognizing patterns

Through in-depth research on customer behavior, needs, and pain points, along with comprehensive user interviews, we methodically recorded our findings on memo notes, identifying patterns. These insights guided the creation of detailed personas, enabling us to tailor our strategies and design decisions to effectively address our users' specific needs.
Feature requirements

Whilst designing the app from scratch, which means basic functions such as sign-up, sign-in, setting menu, etc. are included, two main features were required by the business owner—a full-fetched ordering use case, and an Instagram-like sharing feature for customer review use case. The intricacies of these use cases will be decided by me.

This case study will focus on the ordering process, since the Instagram-like sharing feature leaves little room for exploration.

Design Artifacts

Personas

As ESPRIT sought to refresh its target demographic to appeal to a younger audience, our team delved into the preferences of Gen Z, Millennials, and Xennials (added later) in the US market. Through in-depth user interviews and thorough research into consumer needs, we developed personas to gain insights into user requirements, behaviors, and objectives.
Design Artifacts

Persona-Based Customer Journey Map

When exploring customer journeys for omni-channel services, we first create persona-based maps, offering detailed insights into customer behaviors, emotions, and motivations across touchpoints and channels. By mapping at this depth, we gain a comprehensive understanding to enhance interactions and deliver personalized, consistent experiences.

The following is one example:
Design Artifacts

Holistic Multi-Channel Journey Map

We also created comprehensive, higher-level holistic journey for a more effective visualization and comparison of different segments and their preferences. A holistic view enables us to identify common patterns, divergent paths, and key touchpoints that influence each segment's experience. Through this, we gained better understanding of diverse customer segments and their distinct preferences, pain points, behaviors, and needs.
Design Artifacts

Detailed Cross-Channel Customer Journey Map

In the detailed customer journey maps that explore various services, each step that a customer must take across all channels is meticulously examined to offer a comprehensive understanding of customer interactions. This in-depth analysis enables detailed analysis and optimization of every step of the overall journey, ultimately resulting in a more seamless and personalized experience for customers as they engage with the brand's services across a multitude of channels.
Design Artifacts

Mock-ups

Mock-ups of online interactions are designed to visually represent the user experience, enriching the understanding of customer engagements within the detailed customer journey maps. These mock-ups act as tangible depictions of online touchpoints, delivering a clear and intuitive visualization of the user experience journey.
Final words

Takeaway

User Needs
Convenience is essential—feeling of everything falling into place effortlessly, making each interaction feel like a breeze. By focusing on simplicity and ease at every step, businesses can create connections that feel like a sigh of relief for their customers, building trust and loyalty along the way.
Personalized experience is king—Tailoring experiences to fit each person not only makes customers feel seen and valued but also keeps them coming back for more. By using insights and continuous machine learning to create customized experiences, it makes customers feel like everything is catered to them.
Seamless experience—By ensuring that every touchpoint flows seamlessly into the next, businesses can create a journey that feels like a well-crafted story, leaving customers wanting to come back for the next chapter.
Market research
Information overload—Current generations are inundated with a barrage of information from social media platforms. This constant influx of data can overwhelm individuals, making it challenging to filter through the noise and find meaningful connections amidst the digital clutter. The daunting array of choices can lead to decision fatigue and uncertainty.
Disjointed journeys—Traditional shopping experiences often harbor disjointed journeys riddled with frictions that disrupt the flow of customer interactions. In the overall shopping experience, it could subconsciously create hurdles that hinder smooth and satisfying customer journeys.
AI to aid personalized experience—Many businesses use AI to streamline processes, provide tailored suggestions, and improve interactions, unifying online and offline touchpoints. Acting as smart aides and personalized adviser, these tools navigate customers, ensuring seamless journeys that resonate with individual preferences.
Developer Collaboration
Sprints—The developer and I are constantly communicating. We planned sprints and mile stones for different use cases, and we share insights and feedback after testing.
SIT and UAT—Each time we finished a use case, I would write out different scenarios for internal testing. I also participated in UAT testing to gather feedback from testing group, then I would generate feedback reports for the developer and I.

Reflection and moving forward

To address the elephant in the room, ESPRIT faced financial challenges that forced the closure of several projects. Despite dedicating 8 months to exploring the world of omni-channel, we reached a standstill. However, this experience offered valuable insights into customers' omni-channel needs. Given the chance, I am eager to continue steering this project towards its next exciting chapter.
Realizing our vision
We explored different journeys and discuss with different stakeholders of how to bring our vision in to realization. Omni-channel efforts are big undertakings that involve everyone. As we pieced together the puzzle during this journey, we all eagerly awaited the company's growth into a successful business.
Real-life data and optimization
The omni-channel experience, much like any user journey, is a dynamic evolution. Despite being in the project's initial phase, we understand that progress is fueled by harnessing user data, continuing to learn from customers, and ongoing optimization. With additional time and resources, I envision this concept gradually evolving into a fully operational service, driving the experience to new heights.
Final take away
On a personal level, I've developed a newfound appreciation for omni-channel services, now eagerly observing the seamless transitions between channels in my daily interactions with various businesses. I anticipate the opportunity to engage in more projects of similar nature, further exploring and enhancing the omni-channel landscape.