Here are a few of the amazing projects I have lead as a Design Researcher at LinkedIn
Project: Scan to Connect | QR CODE
The new QR Code feature was a passion project of mine that began as a result of watching a large group of people trying to connect on LinkedIn at a conference. After witnessing members passing their own phones to others in order for them to just spell their own names correctly, the problem was brought to the Search design and product. As a result the QR code feature as development as a quick way for members to connect both on and offline without having to manually input a name search for another member.
PROBLEM: Manually searching for names can sometimes be difficult due to spelling and connecting with multiple people in person can be time consuming and tedious.
Members at a conference taking a picture of a name badge to then go back and search to connect.
CONCEPTS: Several rounds of concepts and design iterations were tested with members in order to determine the best tool/feature that would promote connecting quickly. Several concepts including a gesture to connect were considered. Ultimately utilizing a QR code was determined to be the fastest and efficient way to allow for members to connect quickly and seamlessly.
In person interviews
RESEARCH: Formative and Evaluative research studies were conducted to fully understand the problems(s) and to ensure the concepts and designs were solving the problem(s). Methods used included surveys, observational research, concept testing and in person interviews.
Project: Filters Up
Project Filters Up, entailed creating a new filter experience by moving the filters from the right rail of the page to the top of the page, redesigning the filter interactions as well as the look and feel of filters.
PROBLEM: Through foundational research in Search and Discovery, a major finding was members who were advance searchers on the platform had friction when using filters and a pain point that caused a slowdown in their workflow. The previous interaction had a set of filters along the right rail of page with multiple chevrons. This caused extensive scrolling up and down the page. In addition, research showed that novice members had limited to no interaction with filters, it was not part of their work flow. But a larger attribute to the lack of discovery and usage for novice members in large part had to do with Right Rail Blindness.
CONCEPTS: Research( Renée), Design, Product, and Engineering worked together to brainstorm ideas that would solve for the advance member use case and also have the novice user benefit from the new experience as well. Data Analytics was used to support the Qualitative research insights regarding what were the common filters members used most and why. This information helped to inform the design concepts to make frequently used filters accessible faster while also exposing them members who had not used them previously
RESEARCH: In person and remote concept testing for mobile and desktop were conducted with both advance and novice members. Member recruiting and research sessions took place over a 3 week period.
Remote user testing over VC using Blue Jeans
Early concepts & prototypes tested with members
Guerrilla Testing Mobile Concepts
OUTCOMES: Findings from the extensive research provided valuable insight as to what members needed in a new filter experience. 2 concepts were invalidated making way for 1 design to go through additional design iterations based on recommendations from the research report. Users felt they were able to complete their search tasks faster with the filters being on the top but only if the interactions were quick and understandable. After another round of research was completed , including ramping a version to a beta group of members and monitoring the data received from the interactions with the new experience followed by Qualitative interviews, the final product was released. Research, Design, Product, Engineering and the Data teams have been able to measure the successful engagement with the new filter design, which include quicker query completions from advance members and increased usage among the novice members.