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Stocked

Stock Up on Your Stock Knowledge

Self-driven Project

Project Description

The project aimed at creating a 

Team 
4 members

Role   
UX/UI designer for the "Learning" and partially for the "Trading" screens

Tools 
Figma, Figjam, Balsamiq, After Effects

Skills 
UX Design, User Research, Prototyping, UI Design


Timeline 

January 2024 - May 2024

Design Process

1

Exploratory

Understand the problem space

Generative

Identify opportunities 

Evaluative

Generate and evaluate concepts

2

3

Exploring Opportunities in Finance

Many people struggle with managing their finances and making investment decisions due to a lack of comprehensive financial knowledge. Existing financial management apps often overwhelm beginners with their complexity. Therefore, we decided to address this space.

Why is Our Solution a Game-Changer?

Democratizes financial education for any age group (15 years and above)

Simulated environment empowers people to experiment and learn

Defining Design Direction

72

Survey Responses

08

User Interviews

04

Competitors

PUT AFFINITY MAPPING HERE TO SHOW PROCESS OF ANALYSIS

Key Findings

From Survey and User Interviews

Target users 

High School Kids

Learning limited to quizzes only 

Lengthy reading materials

Lack hands-on trading practice

Competitor Analysis

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ZOGO

Competitor #1

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ROBINHOOD

Competitor #2

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GO BOLDLY

Competitor #3 

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INVESTMATE

Competitor #4

Key Findings

Potential Opportunities to Tap Into

Too many complex terms + definitions

Learning limited to quizzes only 

Lengthy reading materials

Lack hands-on trading practice

Creating Personas

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Consumer

Novice Designer

Expert Designer

Persona 1 | Consumer

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“I can’t find clothes I like anymore”
 

Core Needs

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Adaptive Customizations

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Style options

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Convenient shopping

Pain Points

  • Hates in-store shopping due to lack of accessible buildings.

  • Cannot find clothing that is both fashionable and comfortable.

  • Lack of awareness about adaptive clothing and accessibility among clothing manufactures and designers.

We utilized the personas created to design the workflow of the app. And, the best way to do so was through creating storyboards for each user type and using that to imagine the structure of the app.

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Storyboarding 

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User : Consumer
User Goal: To get customized clothes for a wedding

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USER FLOW

User Flow 

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Storyboarding helped us map the main features of the app. Next, we structured the app's user flow for consumers to shop and learn about adaptive fashion through events and engagement, and for designers to access tutorials and connect with peers in adaptive clothing design.

Lo-fi Prototyping

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User Task: Use adEpt to shop online and provide measurements

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User Testing

We conducted user testing sessions with our low-fidelity prototypes to assess whether our designed flow is intuitive to users and to identify any functionalities that may need to be reevaluated or added to our final product.

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90 %
Task Completion Rate

3 User Groups

9 Participants

3 participants per user group

Key Insights

01 Context Clarity

Users found some features, like the creation of a 3D avatar within a shopping app, to be non-intuitive. This indicates a need for providing clearer context and guidance to enhance user understanding and streamline their experience.

03 Aligning to user expectations

The flow around order placement deviated from user expectations. Specifically, the use of 'send order request' instead of the anticipated 'order now' button, coupled with the absence of a confirmation page, confused users. Aligning the app's language and process flow with standard e-commerce practices could enhance user satisfaction.

02 Information Overload

Critical screens, such as the order page, suffered from information overload. This included excessive details about products, order specifics, and process steps all presented simultaneously. Streamlining content and layout to focus on user priorities could improve clarity and usability.

04 Flexibility in User Preferences

The app currently lacks the flexibility to accommodate shopping for others, like friends or family, suggesting a need for adjustable user preferences. Enhancing the app to support diverse shopping scenarios could improve its usability and appeal.

 

The insights gathered by conducting user testing on the wireframes for our 3 workflows helped us do the necessary changes to our designs. The screens below showcase the final product after implementing user feedback.

adEpt

Introducing

You don't have to adapt :)

Core Features

Adaptive Preferences

Consumers can set 'Adaptive preferences' to share with designers, upon consent, streamlining the design process and customizing shop results. Preferences can be changed or disabled at any time.

Fostering Collaboration

Designers can stay in constant touch with the consumers throughout the design process via chat and calls. Since, designing adaptive clothes require a great deal of inputs from the consumer, adEpt takes care of it effectively.

Making measurements easy

AdEpt allows consumers with multiple disabilities to share detailed body measurements with designers when ordering clothes by scanning and uploading a 360-degree video to generate a 3D avatar, which can be edited at any time.

Helping designers grow 


adEpt further enables the consumer to shop by designer. The consumer can check out the detailed profile of the designer and browse through their portfolio as well as store products to get a better idea of their offerings. 

Limitations/ Next Steps

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Edge Cases

Users expressed interest in both designing and shopping for adaptive clothes, but our app only allows one choice. We may add a third workflow to accommodate this edge case.

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Privacy Control

Our app connects designers with consumers, but allowing constant communication can be disruptive for consumers. We need to address this in the next design phase.

My Learnings

Research plays a major role in directing your project. At the start of the project, our idea was only focused on making adaptive fashion accessible to PWD's. However, through scholarly research, market analysis, and user interviews, we got introduced to the other sides of our problem i.e. the challenges faced by the designers in the field of adaptive fashion.

At times, there can be dis-alignments within the team while narrowing down on the scope of the project or when deciding the design system of the app. However, making through these challenges helped me enhance my teamwork and collaboration skills.  

Through this project, I realized the importance of constant feedback from the users throughout the design process. By testing our paper prototypes, wireframes and mid-fidelity prototypes, we got some very helpful insights to improve the workflow of the app as well as the visuals and the interface of the app. 

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