Make it fast, easy and as simple and possible for explorers to Bookmark the ads they want and view them later. helping them to narrow down on what they want.
Role: UX Designer
Team: Ads team
Year: 2019
Company: Divar (Agah Pardazan Houshmand)
In order to "Bookmark" the ads that they want, the user should go to the page of each ad and click the "Bookmark" button to add it to the list of bookmarks for that ad. We want to improve Interaction cost on this process and help the user "Bookmark" ads faster. It can also be used as an indicator of what ads the user has seen before.
UX/Interaction Designer
We are a team of 12 designers working on Divar (Including two verticals). UX researchers, Interaction Designers, UX/UI Designers, UX Engineers, and a Design System Manager.
In order to "Bookmark" the ads that they want, the user should go to the page of each ad and click the "Bookmark" button to add it to the list of bookmarks for that ad. We want to improve Interaction cost on this process and help the user "Bookmark" ads faster. It can also be used as an indicator of what ads the user has seen before.
When I'm exploring the ads, I want to bookmark ads faster, so I can be able to review them later and compare the ads I bookmarked before.
500 thousands of users submitting different ads every day with different backgrounds & knowledge in different ad categories.
Make it fast, easy and as simple and possible for users to Crop, Rotate or Brush any part of the image in the ad submission process.
Because mobile devices have small screens, an in-app photo editor can’t include all the tools together. Biderectionality, Localization, system-wide consistency.
Gathering requirements, Problem defining, Navigating through Data to validate the problem or see what I can find out my self, Generating Ideas, Gathering feedback and discussing it with other team members, Designing Iterations, Prototyping, Feedback, Defining Metrics, Delivering to the Client team and DSM.
Define, Research, Design & Prototype,
Evaluation, Iterating & Delivery.
Everything starts with the basics (most of the time)!
And some other quantitative date related.
I have a background in digital web analytics and a basic understanding of quant data analysis. so I did run a few queries to see what are numbers telling us?
Key Insights:
