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CHALLENGE

Design an app for listing and buying things from other people nearby.  How can people quickly post things to sell, make them look good, and have them be found by the people who would be interested in them?

OUTPUT

A designed mobile product that focus on modifying the “post a stuff” experience and “explore interest nearby” experience. The product is powered by the object detection technology and more organized by taking advantage of the tag as a filter to list and archive product.

 

 
 

Understanding the problem

This is an experience design for both the seller and buyer. In an idealized assumption, the seller needs a as simple as possible way for posting a stuff, and to make the images clear and charming. But simple means less information, charming means not 100% real. For a buyer, he needs as much as information as possible and a real profile image of the selling stuff.

My challenge is finding the balance of the requirements between the sellers and buyers, to create a sell-buy system in the context of location nearby.

 
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01. Research


 

1.Defining Project Scope

I started this project by setting up a brief scope and goals:

  1. addressing the existing flow with an improved design

  2. prioritizing solutions to information architecture/user flow (vs. visuals)

  3. Mark testing and measuring the usability of design as the further step

 
 

2.Competitive Analysis

What are the existed solutions for people to buying and selling stuff?

I conducted competitive research on five products targeted at selling and buying, they are Offer Up, Mercari, Letgo, 5 miles and Xianyu. I compared their information architecture and function highlights and try to have a better understanding of the exist solutions.

Highlight point compare

 
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Explore flow critique

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3.Context Inquiry

Followed the competitive analysis, I observed four new users for their first time experience on posting a stuff in these products. I list the general flow of each product below and also asked question to the users based on my observation. 

I. As a seller_Post a stuff flow

 

 
  • QUESTION ONE:

Would you prefer to submit information in a detailed way or follow a simple flow such as Letgo? 

  • INSIGHT:

Provide enough information when posting 

Even if the seller did not post these information at the beginning, they have to provide during the chat with who is interested in more than one time.

 
  • QUESTION TWO:

How do you think about the Image editing function in Mercari and Xianyu?

  • INSIGHT:

Make photo look real and clear

The users want to have the right composition of a picture, but they don’t want to have any filter on added to the photos.


 

SUMMARY

Post a Stuff Flow 1.0_Low Fidelity Prototype

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II.Buyer_Explore interest in nearby flow

The competitive products below are not all specifically targeted at buy and sell stuff nearby, so they provide different approach to the final result in the context of “nearby”.

 
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  • QUESTION ONE:

These products provide the different way of locating to the nearby, could you describe how do you feel about each one?

  • INSIGHT

Set delivery method only once at the beginning

When we design the experience in the context of nearby, the location parameter is fixed, no matter the user do general exploration, directly searching or category exploration.

 
  • QUESTION TWO:

How do you like the category? Is it easy for you to find what you want?

  • INSIGHT

Mark stuff with tag instead of category

For the product above, the category mean to provide choices for buyers to quickly access to what want. But it actually works as a way for sellers to make their stuffs be searched, in this way, a tag is better than a general category


 
 

SUMMARY

Post a Stuff Flow 2.0_Low Fidelity Prototype

Explore interest Nearby Flow 1.0_Low Fidelity Prototype

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4.Case Study

1. How people buy and sell stuff nearby in this digital age?  

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wECHAT gROUP sELL

Wechat has group based on the leasing building, community etc. People in the group post stuff image and description for sale.

 

Highlight

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Painpoint

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Takeaway

Knowing the group is exact nearby as a previous mindset makes it reliable when someone want to buy stuff nearby 

 
 

2.How can random images thumbnail looks good in the list view? 

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5.interview

In which context, people prefer buy stuff from nearby?

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What does a buyer care most for buy stuff nearby?

Decisive factor

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Relevant factor

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Quote from interview

“I don’t want to see a polished image of a selling product, it is nice to hold a lower level expection when buying and the real stuff turns out better than I expected.”

“When I buy something in these “hand by hand” platforms, I always know exactly what I want to buy. I will search directly instead of either general exploreing or nav into a category“

 
 
 

6.opportunity area

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02. Design Concept


 

1.Design Context

 

For the limited time schedule, I have to narrow down the scenario I will focus on.

I will designed two flows based on the features above, “post a stuff” and “find interest nearby”.

Other features of the product won’t be displayed on the User Journey, User flow and Information Architecture.

 

2.Brainstorming

The below are the result of affinity map based brainstorming.

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3.User Journey

I made the user journey map to understand how the user acted as either the seller and buyer think in the “sell-buy“ system. It is my first step of ideation, trying to be specific with the scenario.

 
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4.Solution

How might I?

I land on the solution based on my research insight, brainstorming and user journey map. I will provide four features in this experience, to faster the “posting flow” and “finding interest” near by flow.

 
 
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03. Design Development


 

1.User Flow

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2.Information Architecture

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3.High Fidelity Flow

 
 

4.First Hand Visual

 

04.Prototype


 
 

Self-Reflection

I will continue on the prototype and user testing in the next step.

The most challenging part for now is that the experience involved two user perspective, the seller and the buyer, the journey of them don’t overlap until they chat with each other. The benefits and pain points of the two types of user are contrast. If it is better for the seller, maybe worse for the buyer. So the challenging part is making the balance between this “sell and buy“ system.