Improving Youtube Creator’s Profile with the help of AI
Improving Youtube Creator’s Profile with the help of AI
Improving Youtube Creator’s Profile with the help of AI
Youtube studios
YouTube creators struggle to consistently generate content ideas that resonate with their audience and keep them engaged. They often rely on intuition or current trends, leading to content that may miss the mark.
Deliverables
User Research
Stakeholder interviews
Affinity Mapping
Mockups
Prototypes
Executive presentations
Final specs
Asset production
User Research
Stakeholder interviews
Affinity Mapping
Mockups
Prototypes
Future Possibilities
Final Specs
Role
Product Designer
Product Designer
Year
2024
2024
Duration
15 days
Understanding YouTube Creators
Understanding YouTube Creators
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This case study dives into the challenges faced by two YouTube creator Personas: Sarah, the Newbie Creator, and David, the Established Educator. Through user interviews, needs and pain points were identified.
This case study dives into the challenges faced by two YouTube creator Personas: Sarah, the Newbie Creator, and David, the Established Educator. Through user interviews, user needs and pain points were identified.
“Brainstorming video ideas felt overwhelming. I'd spend hours coming up with concepts, but I was never sure if anyone would care.“
— Sarah, The Newbie Creator
Sarah (Newbie Creator): Struggling to brainstorm video ideas her audience will love. Needs help staying consistent and building a loyal following.
“Brainstorming video ideas felt overwhelming. I'd spend hours coming up with concepts, but I was never sure if anyone would care.“
David (Established Educator): Worried his content is getting stale. Wants to understand his audience better and find collaborators in science education.
— Sarah, The Newbie Creator


Above image captures a worried and struggling YouTuber.
Above image captures a worried and struggling YouTuber.
Sarah (Newbie Creator): Struggling to brainstorm video ideas her audience will love. Needs help staying consistent and building a loyal following.
David (Established Educator): Worried his content is getting stale. Wants to understand his audience better and find collaborators in science education.
Activities and outputs
7 Stakeholder interviews
User Personas
Needs of the User
Using “How Might We” Questions to Ideate on the Creator’s Problems
Using “How Might We” Questions to Ideate on the Creator’s Problems
Core Objectives
Design a user interface (UI) for a YouTube creator portfolio that integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends.
Generate data-driven insights and suggestions to help creators identify content gaps, optimize existing content performance, and discover new content ideas that align with audience preferences.
Core Objectives
Design a user interface (UI) for a YouTube creator portfolio that integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends.
Generate data-driven insights and suggestions to help creators identify content gaps, optimize existing content performance, and discover new content ideas that align with audience preferences.

Above image captures how core objectives were derived.
Activities and outputs
Core Objectives
HMW: How Might We...
Current YouTube Studios Limitations
Current YouTube Studios Limitations
Current Content Feature: Shows broad topics, not specific content ideas tailored to the creator's niche.
Current Research Feature: Provides data points, but lacks the ability to synthesize them into actionable content strategies.
Current Analytics Feature: Offer insights on past performance, not necessarily future content direction.
In essence, the pain lies in the gap between data and actionable ideas. Creators need a bridge to translate trends and audience preferences into specific, creative video concepts that resonate with their viewers.
Current Content Feature: Shows broad topics, not specific content ideas tailored to the creator's niche.
Current Research Feature: Provides data points, but lacks the ability to synthesize them into actionable content strategies.
Current Analytics Feature: Offer insights on past performance, not necessarily future content direction.
In essence, the pain lies in the gap between data and actionable ideas. Creators need a bridge to translate trends and audience preferences into specific, creative video concepts that resonate with their viewers.
Activities and outputs
Pain Points
Current Feature Limitations
How HMW Questions Shaped Design Solutions
How HMW Questions Shaped Design Solutions
Data Analysis & Insights option integrates with YouTube Analytics and AI to analyze audience behavior and translates complex data into clear visuals and actionable insights for creators.
Content Idea Generation option leverages AI to analyze trends, competitors, and user searches. Generates data-driven content ideas aligned with creator interests and audience preferences.
Content Optimization option provide data-driven suggestions for optimizing existing content based on audience engagement and search trends.
Data Analysis & Insights option integrates with YouTube Analytics and AI to analyze audience behavior and translates complex data into clear visuals and actionable insights for creators.
Content Idea Generation option leverages AI to analyze trends, competitors, and user searches. Generates data-driven content ideas aligned with creator interests and audience preferences.
Content Optimization option provide data-driven suggestions for optimizing existing content based on audience engagement and search trends.
Activities and outputs
Wireframing
Prototypes
Conclusion
Conclusion
This case study explored the challenge faced by YouTube creators: consistently generating content that resonates with their audience. By leveraging user research, we designed a potential solution that empowers creators with a data-driven approach.
The proposed platform integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends. This data translates into actionable insights and suggestions for content ideation, optimization, and workflow streamlining.
This case study explored the challenge faced by YouTube creators: consistently generating content that resonates with their audience. By leveraging user research, designed a potential solution that empowers creators with a data-driven approach.
The proposed platform integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends. This data translates into actionable insights and suggestions for content ideation, optimization, and workflow streamlining.
This case study explored the challenge faced by YouTube creators: consistently generating content that resonates with their audience. By leveraging user research, designed a potential solution that empowers creators with a data-driven approach.
The proposed platform integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends. This data translates into actionable insights and suggestions for content ideation, optimization, and workflow streamlining.
This case study explored the challenge faced by YouTube creators: consistently generating content that resonates with their audience. By leveraging user research, designed a potential solution that empowers creators with a data-driven approach.
The proposed platform integrates with YouTube Analytics and utilizes AI to analyze watch history, user comments, likes, views, and search trends. This data translates into actionable insights and suggestions for content ideation, optimization, and workflow streamlining.


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