Conducting scrappy, quick turnaround research on venture bet features

• Business Context: I've worked on several LinkedIn teams that have operated more as internal startup accelerators on venture bet growth products, due to my ability to conduct quick turnaround, scrappy research when necessary. Some examples of these features are audio and short form video experiences. These new features are often looking to achieve product market fit and drive next day retention to their products. • My Approach: I always work within the venture bet teams' timelines and get creative with approaches to meet their needs. For example, I use async dScout media surveys to quick async feedback on prototypes. I also suggest and lead usability heuristic reviews in place of more lengthy usability testing. And I partner with engineers to collaborate on relevance matching designs, rooted in a robust synthesis I did of recurring (evergreen) relevance matching factors, that's typically applicable to new features teams are exploring as well. • Key Insights: My findings have spanned ways to improve new feature discoverability and understanding, surface credibility indicators for video content creators, and power the relevance distribution and matching in logic that resonates with members' needs/ Jobs to be Done. • Business Impact: My findings helped drive the success of the venture bet features. For instance, my video metadata research informed which metadata we surface under short form video, to aid in video discovery and video creator trust perceptions. And the experiments that I worked on with the engineering team for video relevance distribution boosted next day video retention by 12%.