Overview
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FF Overview
Date
2024
Role
Visual / UX designer
Goal
FlickFinder case study
Introduction
FlickFinder tackles the overwhelming array of streaming options by offering a personalized solution tailored to each user's preferences. Through advanced AI technology, FlickFinder analyzes viewing habits, mood, and available time to provide concise, curated recommendations.
FlickFinder: personalized streaming made simple
FlickFinder streamlines content discovery through natural conversation, providing personalized recommendations. Its intuitive interface eliminates decision fatigue, catering to diverse audiences. Leveraging AI, it offers curated content suited to each user's preferences, enhancing satisfaction and retention.
Research
Before beginning the UX research for FlickFinder, it's crucial to have a solid understanding of the target audience, their behaviors, preferences, and painpoints related to streaming content. This preliminary research will inform the development of interview questions and guide the overall research approach.
KICKOFF- INITIAL KEY QUESTIONS
To kick off the research process, it's essential to establish a set of initial key questions that will guide the interviews. These questions should cover a range of topics, including:
- How do users currently discover content on streaming platforms?
- What challenges do users face when trying to find something to watch?
- What factors influence users' decisions when choosing what to watch?
- What features or functionalities would users find most valuable in a content recommendation app like FlickFinder?
- How do users envision integrating FlickFinder into their existing streaming habits?
FOCUS GROUP RESEARCH
In addition to individual interviews, conducting focus group research can provide valuable insights into shared experiences and group dynamics related to streaming content discovery. Focus groups can be particularly useful for exploring social aspects of streaming, such as how users make decisions when watching with friends or family.
KICKOFF- INITIAL KEY QUESTIONS
To kick off the research process, it's essential to establish a set of initial key questions that will guide the interviews. These questions should cover a range of topics, including:
- How do users currently discover content on streaming platforms?
- What challenges do users face when trying to find something to watch?
- What factors influence users' decisions when choosing what to watch?
- What features or functionalities would users find most valuable in a content recommendation app like FlickFinder?
- How do users envision integrating FlickFinder into their existing streaming habits?
FOCUS GROUP RESEARCH
In addition to individual interviews, conducting focus group research can provide valuable insights into shared experiences and group dynamics related to streaming content discovery. Focus groups can be particularly useful for exploring social aspects of streaming, such as how users make decisions when watching with friends or family.
Persona 1
Name: Emily
Age: 28
Occupation: Marketing Manager
Goal: To easily discover entertaining content to unwind after work.
Live Goal: To balance her professional and personal life efficiently.
Expertise: Tech-savvy, knowledgeable about digital platforms.
Narrative: Emily enjoys watching movies and TV shows to relax but finds itoverwhelming to choose from the vast selection available on streamingplatforms. She seeks a solution that provides personalized recommendations.
Persona 2
Name: Alex
Age: 35
Occupation: Software Developer
Goal: To find high-quality content to enjoy with friends and family duringleisure time.
Live Goal: Healthy work-life balance while pursuing personal interests.
Expertise: Tech-proficient, interested in optimizing digital experiences.
Narrative: Software developer who values spending quality time with loved ones. He seeks a platform that offers diverse recommendations suitable for group viewing sessions and social interactions.
Definition
PROBLEMS
Streaming platforms overwhelm users with endless content options, leading to decision paralysis, especially after a tiring day. Users struggle to find content that matches their mood, preferences, and viewing circumstances, resulting in wasted time and frustration.
Streaming platforms overwhelm users with endless content options, leading to decision paralysis, especially after a tiring day. Users struggle to find content that matches their mood, preferences, and viewing circumstances, resulting in wasted time and frustration.
VISION
FlickFinder AI-driven, eases choice exhaustion, grasping user preferences, moods, & context. Simplifies discovery via chat, tailoring suggestions. Constantly learns, enhancing streaming, guiding to ideal content.
FlickFinder AI-driven, eases choice exhaustion, grasping user preferences, moods, & context. Simplifies discovery via chat, tailoring suggestions. Constantly learns, enhancing streaming, guiding to ideal content.
CONTEXT SCENARIO
Emily, a 28-year-old Marketing Manager, wraps up a long day at the office, ready to unwind with some streaming content. As she opens FlickFinder, she articulates her desire for something light-hearted yet engaging after a stressful day."Hey FlickFinder, I need a break from reality.
Emily, a 28-year-old Marketing Manager, wraps up a long day at the office, ready to unwind with some streaming content. As she opens FlickFinder, she articulates her desire for something light-hearted yet engaging after a stressful day."Hey FlickFinder, I need a break from reality.
Something funny but not too heavy".
FlickFinder responds promptly, "Got it, Emily! How about a comedy series with a touch of mystery? Based on your past preferences, I suggest 'Brooklyn Nine-Nine'."
"Sounds perfect," she replies, tapping to start the first episode.
FlickFinder responds promptly, "Got it, Emily! How about a comedy series with a touch of mystery? Based on your past preferences, I suggest 'Brooklyn Nine-Nine'."
"Sounds perfect," she replies, tapping to start the first episode.
User WorkFlow
Testing and Iteration
- What were the mistakes made?
- What actions were successful?
- How can user feedback and insights be translated into user friendlysolutions?
SAMPLE SURVEY
Before we started the usability test, I created a survey for peers to complete.
USER INTERVIEWS
I invited a diverse group of participants to test our prototype, aiming to gather ample feedback for the upcoming design iteration.
- What actions were successful?
- How can user feedback and insights be translated into user friendlysolutions?
SAMPLE SURVEY
Before we started the usability test, I created a survey for peers to complete.
USER INTERVIEWS
I invited a diverse group of participants to test our prototype, aiming to gather ample feedback for the upcoming design iteration.
Journey
The goal of the proposed solutions is to know how changes can be applied to solve the improvement points and how to apply them so that the user finds a better user experience.
PERSONA
How are you going to use it?
Our PERSONA will use the application in the following way: using the application to know what to get recommendations from the application and using the MENU to see whatis popular now and creating personal wish lists.
ACTIONS
Swaping – Between trending and new.
Selecting – Region & Platforms he/she has available.
Navigating- Through the menu that will recommend content.
How are you going to use it?
Our PERSONA will use the application in the following way: using the application to know what to get recommendations from the application and using the MENU to see whatis popular now and creating personal wish lists.
ACTIONS
Swaping – Between trending and new.
Selecting – Region & Platforms he/she has available.
Navigating- Through the menu that will recommend content.
UserFlow
The available path Persona want to access
Iterated Design
Applying recently acquired information and comprehension to the existing product.
Exploration
FAST
The creation of a menu where users can access sections such as Home Screen, News, Trending, and Wishlist brings users closer to a set of familiar solutions that significantly reduce the learning curve and create a sense of familiarity for the person using the application.
The creation of a menu where users can access sections such as Home Screen, News, Trending, and Wishlist brings users closer to a set of familiar solutions that significantly reduce the learning curve and create a sense of familiarity for the person using the application.
SIMPLE
FlickFinder AI-driven, eases choice exhaustion, grasping user preferences, moods, & context. Simplifies discovery via chat, tailoring suggestions. Constantly learns, enhancing streaming, guiding to ideal content.
FlickFinder AI-driven, eases choice exhaustion, grasping user preferences, moods, & context. Simplifies discovery via chat, tailoring suggestions. Constantly learns, enhancing streaming, guiding to ideal content.
Conclusions
FlickFinder simplifies content discovery,matching users with personalized recommendations effortlessly.
Iterative design ensures FlickFinder's interface remains intuitive, providing a seamless experience from launch to content selection.
Continuous user feedback drives FlickFinder's evolution, ensuring ongoing improvement and user satisfaction. In summary, FlickFinder transforms the streaming experience, offering users tailored content discovery with minimal effort.
Iterative design ensures FlickFinder's interface remains intuitive, providing a seamless experience from launch to content selection.
Continuous user feedback drives FlickFinder's evolution, ensuring ongoing improvement and user satisfaction. In summary, FlickFinder transforms the streaming experience, offering users tailored content discovery with minimal effort.
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