Intro

Inspiration and the why of the product

We took inspiration from a number of modern apps including Poshmark, Depop, Tiktok, Mercari, and more in order to develop 99dresses. We were really inspired by the concept and thought of bringing it again to life.

  • Are you anxious looking at a packed closet and not being able to wear them all?
  • Want to be a part of a fashion community where u can share your clothing with others?
  • Worried about expensive party clothes you wear only once is $$ and not worth it for only one wear!

99dresses solves them all.

Introducing 99Desings

What it does

99dresses allows individuals who like fashion to connect with each other based on style, location, sizes, and more, in order to cultivate a trusted community that they would want to share clothes with.

Design process

We followed the IDEO Design thinking process to establish our Case study. This way we started off with a short sprint focused on solving the failures and users and a new experience for the product.

  • Understanding product and users
  • Emphasize and User reviews
  • Brainstorming and ideation
  • User flow and sketch
  • Building Design System and Hi-Fi designs *Prototype and testing

Research Phase

We divided ourselves to know about the product as much as we can and jot down the points and then started organizing. We divided our research based on different sections of the product. As we already had foundational research, we built upon the research, understanding the product and users.

Our target users

  • Millennials
  • Teenagers
  • Users in early 50s with local business

Problems and User Pain

  • Users may not trust the product at once by looking at the image.
  • Damage protection?
  • feeling like you can’t find new brands to discover/allowing you to try it out before committing
  • Time constraint, I have to wait for days for a particular dress.
  • Lots of people have extra clothes in their closet

We found Trust and Sizing to be one of the biggest pain for users. We started with the initial hypothesis and assumption before the survey.

Solution and key points

After we had our initial understanding and feedback for the product, we came up with some crazy ideas initially,

  • building a fashion community *create a personal experience that is different from simply a transaction
    • Local sharing groups?
  • Encouraging exchanges with the same users is a good experience?
  • Share your experience on the go, maybe something like Instagram or Snapchat or maybe Tiktok matching people based on style, preferences, needs
  • Humanizes the purchasing experience
  • Closet is expanded to not one person’s, but multiple people with the same taste
  • A modern UI that meets up current Users' needs.

We realized building a fashion community can help solve Trust issues among users, so they can explore and find people and engage with each other in a more healthy community. Hence, fashion community feature was the basis and priority.

To solve the sizing problem, we initially thought of integration of 3rd party services like sizer.me, so Users can find dresses with exact sizing.

Survey Results

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We found pretty interesting results that validated our assumption and we started working forward.

Brainstorming and sketches

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Haha the most fun part, We all had soo much fun ideating over FIGJAM. We created User flows and rough sketches. Due to limited time, we used stamps to mark the important aspects in UserFlow.

Hi-fidelity and Visual Language

We started off building a rough design system and came up with an elegant branding language that gives the users the vibe and context of the product just by looking at it.

We all took care of Nielsen's Design Principles to work on our interface, and strive for consistency and making the experience as smooth as possible, so it will become a habit to the user hence beneficial for Business too.

Hence, we started building a modern and minimalistic interface to match the user's needs. Interface

We also removed the complexity of the button transaction system to a normal cash system, hence removing complexity for the user.

We also realized as people will also be more comfortable finding clothing nearby their location to rent, hence we added an easy recommendation feature to solve this issue.

Key Takeaways

How we built it

We used Figma's prototyping capabilities and Figma jam feature to brainstorm and sketch our ideas.

Challenges we ran into

  • We had difficulties deciding what app to design this weekend. However, we ended up deciding that 99dresses had a more interesting problem to solve.
  • We also ran into a problem of accurate sizing and creating trust among users.
  • Working out with multiple alternatives and iterations was some of the most challenging tasks, as we wanted to design something that users would wanna hook to.
  • Working in different Timezones.

Accomplishments that we're proud of

Brainstorming, from lo-fi prototypes to Hi-fi, designing the prototype, recording the video, and submitting everything in ~12 hours, and getting a finished prototype.

What we learned

We learned a lot about Figma, time management, and dividing design work between 4 people in 3 different timezones. Brainstorming and running a short sprint together. Finding innovative ways to create trust among users through the community. We also learned a lot about users through a form survey about the product.

What's next for 99dresses

  • We wanted to add events so that the online communities from the application could connect in person, but we didn't have enough time.
  • We also plan to take our product to local stores where people can put their dresses for rent in stores and bringing them one step closer to local users.

Thank you for your time 😃

Built With

  • adobe-premeire-pro
  • figjam
  • figma
  • unsplash
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