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Overview

Arslae is an AI-powered learning platform and a crowdsourcing journal. Arslae makes prototyping and sourcing resources quick and easy. My work on Arslae was done in collaboration with the engineer Theo Alkhayat. Among my responsibilities, I conducted interviews, research, tests, designed, and pitched to investors. Together, we have made it to the final stage of the KAUST Taqadam competition and the national competition of the entrepreneur world cup.


Confidential information has been withheld.

Role

Product Designer

Team

1 Product Designer
1 Engineer

Contribution

Vocabulary creation
Taxonomy system
Information
Architecture 
Research
Wireframing
Prototyping
UI/UX Design
Testing
Branding
Implementation

Tools

Axure Pr
Adobe Photoshop
Adobe Illustrator
Cinema 4D
InVision 
Figma

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Problem Statement

Designers rarely have a clear path to what steps to follow or what materials to purchase since every project requires new findings and new learnings. 

 

Solution 

Our solution was to provide a personalized learning experience using a crowdsourcing journal that was augmented with artificial intelligence and machine learning. 

Market and Competition Research

In the design field, there are currently no educational platforms that utilize artificial intelligence and machine learning in order to leverage and personalize the learning experience. For this reason, for the purpose of determining business opportunities and competition, I conducted market research, competition analysis, and user experience analysis with the current online educational platforms. 

User Research

The objective of the user research is to better understand the current user journey, identify pain points, and identify opportunities for improvement. 

Sample size

Survey ( Participants: 53, Age ( 19 - 39 ) )

Interviews: ( Participants: 5, Age ( 19 - 36 ) )

85% of designers watch online tutorials before starting a new project.
About 35% of designers check online reviews before buying materials
While 61% of designers benefited from online education, they still had to research industrial techniques independently.
"I love watching other artists' tutorials." - Jack Estep
"I'm making a sculpture out of epoxy clay right now, and yes, I watched a YouTube reviews of it." - Naomi Shah
"I couldn't find the industrial process for making stop motion puppets. I had to figure it out on my own." - Christopher Huizar

Ethnographic Research

To identify trends and challenges, I spent a week observing and interviewing designers in their studios 

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Discovery

 

In this phase, I organized my insights using the card sorting method.

Personas

Jacob Maloney

Occupation: Product Design Student

Age: 20

​Needs:

  • I'm looking for a quick way to find resources. 

  • I need more guidance or a mentor-like step by step.

Teenager Portrait

Ella Johnson

Occupation: Product Designer

Age: 27

Needs:

  • I'm looking for a quick way to find resources. 

  • I'd like to see how others used a certain product and what worked and didn't work.

Studio Portrait

Journey As is

This is how these two personas go through their journey of project-based learning, discovering products, documenting the process, and sharing their resources. It was one of the most valuable artifacts since it helped me understand and structure the journey for potential users.

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Ideation

In discussing opportunities to pursue, we decided to pursue opportunity numbers 1 and 2 but focus on opportunity number 1 for our first experiment. To help the ideation process, I formulated opportunity statements based on my findings. I used the How might we (HMW) frame as it doesn’t suggest a particular solution, but gives room for innovative thinking.

Problem: The information is scattered all over the place and hard to navigate
Problem: There is no convenient or practical way to order a customized material kit 
Problem: There is no convenient way to journal and share findings.
Solution: Make information easier to navigate?
Solution: Make an easy way to obtain desired material kit.
Solution: Create a convenient way to document and share findings.

Using a combination of two methods known as Possible Futures and Design Charrettes, we brainstormed and created hand sketches. We then presented our low-fidelity wireframe solutions to our potential users. Considering we are in early development, we wanted to focus our experiment on things that are risky and need further exploration. 

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There were not enough data points to form a testable hypothesis. Therefore, we chose the option that was picked by our potential users by %16 more than the other options.

Afterward, we built a fake test and delivered our service manually for three weeks to determine the direction of the product. Additionally, we used the smoke test method as well as the comprehension test to evaluate business opportunities. 

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Results & Impact

 

In our test, 53 students registered their email addresses.

18 people tried to pay for our fake service test. 

Reached the final stage of the KAUST Taqadam competition

Reached the final stage of the 2021 Entrepreneur World Cup competition.

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