Search Behaviour across the eco-system
provide a seamless searching experience
Lynk is a knowledge-as-a-Service platform that helps users access, build and share credible human expertise. It has different products, from SaaS base and App, to serve its purposes. All of its products have a search engine to let the users search for what they want. However, the search experience is different for different products.
My goal is to redesign the search behaviour which provides a seamless experience among the whole eco-system.
Feedback from users
"I am confused about what I am searching for!"
"I cannot search for what I want, have to go to another search bar to do it"
"It could be better if I can filter the search result easily!"
"If we can have a more structured search result, that would be helpful!"
Understanding the infrastructure & existing problems
Problem: Users cannot search all of their data in one goal.
Making it easier to search
Users cannot search all of their data in one goal. They need to go to a different place in the ecosystem to do it. It was difficult for the users to know where they need to go and find their data.
I proposed a new search behaviour to the team, and work closely with the product manager and engineer to come up with a new infrastructure with the least change on the backend to meet the tight timeline. It helped our users to perform searches without having to move around the system.
Help users to narrow down the search result
Search everything within the product, all the data group
Let user to select different group of data
Making sure we are on the right track
Asked them to do a card sorting exercise to understand which data is important to them, so we can have a priority while returning the search result.
How might we provide a seamless search experience on different devices?
How might we let users search for what they want around the system?
Iterating the design based on the feedbacks from users
Designed a whole new UX & UI for crossed platform search bar, both mobile & SaaS based
Defined the new search logic based on the user behaviour and perference
Tracked how user use it and improve in the future