Case Study 1
iOS Application
2019
24FPS
24FPS is an experimental, mobile-first video recording and editing experience that enables aspiring influencers to create professional video content as a way to grow their communities on social platforms.
Problem
Goal
From customer feedback, users wanted the ability to apply Polarr filters to short-form videos. Enabling this feature would also allow Polarr to increase its filter ecosystem and serve a larger market of users. My OKRs included designing and launching the app to the iOS app store.
Create a mobile-first video recording and editing experience enabling aspiring influencers to create professional video content.
Problem
From customer feedback, users wanted the ability to apply Polarr filters to short-form videos. Enabling this feature would also allow Polarr to increase its filter ecosystem and serve a larger market of users. My OKRs included designing and launching the app to the iOS app store.
Goal
Create a mobile-first video recording and editing experience enabling aspiring influencers to create professional video content.
Target User
Role
Responsibilities
Success Metrics
Aspiring influencers, 
Gen Z demographic
Hands on Design Lead
Fulfill IC duties, define design direction, make design trade-off decisions on the product level
Launch app to app store with 20k active creators
Target User
Role
Aspiring influencers, 
Gen Z demographic
Hands on Design Lead
Responsibilities
Success Metrics
Fulfill IC duties, define design direction, make design trade-off decisions on the product level
Launch app to app store with 20k active creators
Target User
Aspiring influencers, 
Gen Z demographic
Role
Hands on Design Lead
Responsibilities
Fulfill IC duties, define design direction, make design trade-off decisions on the product level
Success Metrics
Launch app to app store with 20k active creators
24FPS launched with several innovative features empowering aspiring influencers to create and share professional visual content on their mobile device.
24FPS icon exploration including dark/light mode variations.
Curve selector.
24FPS brand and typography exploration. Nimbus Sans was selected because of its legibility, readability, and bold appearance.
Text color selector. This was a custom creation that enabled a user to select different options of color for their text overlay. The goal of the design was to provide greyscale, gradient, and solid color options with the ability to adjust tints. This gave the user complete control whilst providing a simple intuitive interface.
One of the many POV's crafted from user research with short-form video creators and influencers.
Explorations for 24FPS' smart filter feature. A goal of the design was to provide the user with more transparency around how the A.I. captured and used data. Several variations were tested with users. A variation of option 2 was selected because it provided clearer visual signals to the user about how each color helped craft their automated filter selections.
LUT sample videos for Mad Max and Dark Knight. One of the features created for 24FPS enabled users the ability to use LUTS based on their favorite cinematic movies and tv shows.
Curves exploration. 24FPS provided advanced tooling including curves as it helped aspiring influencers create professional video content using their mobile devices. The goal of the design was to enable advanced customization but also ensure the experience was intuitive for beginner skill sets.
Process
Process Outcomes
For 24FPS, I applied a human-centered design process. To begin the process, I led a qualitative research study that identified insights about our target user that informed product decisions.
I created "sandbox sessions" which became a place of play for cross-functional team members working on the application and promoted collaboration. This allowed the team to identify edge cases and conditions earlier in the design process.
As a result of leading a human-centered design process, I was able to develop several innovative features enabling a mobile-first video recording and editing experience for aspiring influencers.
(Framer proto) 24FPS advanced adjustments. This part of the ecosystem went through rounds of prototyping and testing iterations to ensure the information architecture was comprehensible and clear.
(Framer proto) 24FPS featured a timeline zoom which gave users precision, unlike any other mobile video editing tool. This enabled users the ability to edit longer videos with control over trimming and editing.
(Framer proto) A cinematic LUT shop enabled the user to add professional color-graded LUTs to their video footage and increase the quality of their video output.
Process
For 24FPS, I applied a human-centered design process. To begin the process, I led a qualitative research study that identified insights about our target user that informed product decisions.
I created "sandbox sessions" which became a place of play for cross-functional team members working on the application and promoted collaboration. This allowed the team to identify edge cases and conditions earlier in the design process.
Process Outcomes
As a result of leading a human-centered design process, I was able to develop several innovative features enabling a mobile-first video recording and editing experience for aspiring influencers.
24FPS advanced adjustments. This part of the ecosystem went through rounds of prototyping and testing iterations to ensure the information architecture was comprehensible and clear.
24FPS featured a timeline zoom which gave users precision, unlike any other mobile video editing tool. This enabled users the ability to edit longer videos with control over trimming and editing.
A cinematic LUT shop enabled the user to add professional color-graded LUTs to their video footage and increase the quality of their video output.
Feature Highlight
A.I. Powered Color Grading
Problem
Outcomes
Users struggled to find the right filter inside our photo editor and were often overwhelmed by the number of filter selections.
I designed an A.I. powered smart filter which suggested filters based on user’s preferences. As a result, retention increased by 15%. 40% of filters on exported content was from the smart filter.
Problem
Users struggled to find the right filter inside our photo editor and were often overwhelmed by the number of filter selections.
Outcomes
I designed an A.I. powered smart filter which suggested filters based on user’s preferences. As a result, retention increased by 15%. 40% of filters on exported content was from the smart filter.
For the design of 24FPS, multiple explorations were explored which were a variation of agentive (fully automatic) and assistive (requiring manual input to trigger an event).
