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PROJECT SCOPE

End-to-End Design Process

ROLE

Product Designer

PROJECT DURATION

3 Months

MOODSTREAM

A movie and tv streaming app using generative AI and conversational search to match content.

PROBLEM

Streaming platforms offer endless choices — yet people still scroll!
This leads to browsing fatigue and decision paralysis.

Emotional reality: When search feels like work, relaxation ends.

75% of busy professionals (28–55) abandon search and exit.

BUILDING THE BRAND

I wanted the design to be sleek, innovative, and fun. Energetic teals highlight important information in a dark gallery background showcasing content posters. I was inspired by the concept of a mood-ring to magically anticipate the needs of the user and gamify any data check-ins with colorful buttons and palettes.

HOW MIGHT WE HELP USERS COMMUNICATE THEIR VIEWING INTENT TO FEEL MORE NATURAL EXPRESSIVE AND HUMAN?

RESEARCH INSIGHTS

INSIGHT #1

Decision fatigue stems from cognitive overload, emotional depletion, & fear of wasting time.

INSIGHT #2

Emotional Reality: It’s not just about finding something to watch; when search feels like work, watching stops being relaxing.

INSIGHT #3

Most platforms optimize for efficiency, not empathy. Our solution aims to bridge that gap with conversational intelligence that understands context, emotion, & intent.

There is a clear need for conversational AI-powered search experiences that better support how users naturally express intent.

TARGET USERS

PERSONA #1

POV STATEMENT:

Jordan needs to effortlessly find content that matches his mood because the stress of endless scrolling makes relaxation feel more like work.

PERSONA #2

POV STATEMENT:

Maria needs a search experience that understands her mood and intentions, not just her words, because when the app fails to capture her emotional context, she feels unseen and disengages entirely.

While reasons may differ, user's needs remain the same: overwhelmed by too many choices & unable to express what they want.

This led me to consider:

Based on research insights, I focused on the main desires of the personas - finding something to watch in under 2 minutes that matches their mood and conversational search options.

MOOD CHECK-IN

AI anticipates user's routine & asks simple questions to match content to user's needs.

MOOD MATCH CATEGORIES

AI curates content into categorized groups based on user's feedback.

MOOD FEEDBACK

AI gathers data after user finishes watching content; stores for future recommendations.

CONVERSATIONAL SEARCH

AI interprets conversational language to match user with content that fits their present mood.

LAYING THE FOUNDATION (WIREFRAMES)

HOW MIGHT WE...

How might we reduce the time it takes the user to find something satisfying to watch after work (under 2 min) ?

How might we allow the user to tune the emotional tone of suggestions through intuitive controls or feedback?

How might we help the user recover from decision fatigue by simplifying or gamifying discovery moments?

IDEATION

TASK FLOW “2 Minute Mood Check”

GOAL: Find something to match mood within 2 minutes of opening app

BRAND NAME

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