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SOCIAL **fictional project

The Client The Task Netflix is looking to significantly increase ¥ Understand how people find & share social activity and share on their mobile movies & TV shows apps between users. They would like to ¥ Determine key features to be start with an MVP that can implement these implemented features, and integrate with their current ¥ Design key screens using the look & feel app. of the current Netflix app. NETFLIX SOCIAL

TV and Movies Survey - Google Drive

Notebook: General Assembly Created: January 9, 2014 at 3:20:48 PM Ideation Updated: January 9, 2014 at 3:20:48 PM Tags: project 3 URL: https://docs.google.com/forms/d/11gDCvWTR0YFQxbwUHG82dPZxWiQlIsFCOWmeFU52v2c/viewanalyticsSurvey Summary

Do you watch TV or movies online? Yes 92 99% No 1 1%

Survey

Which services do you use to watch movies and TV shows online? User Interviews

Netflix 81 24% 47 14% Youtube 47 14% Amazon Prime Instant Video 33 10% Slingbox 5 1% Google Play 4 1% Network websites or apps (ABC, CBS, NBC, Fox) 29 9% HBO Go 39 12% SideReel 10 3% Online on-demand service via cable TV provider (AT&T U-Verse, Cox, Dish, Optimum, Verizon FiOS, etc) 20 6% Other 22 7%

Which devices do you use to watch TV and movies online?

Laptop 79 34% Desktop 23 10% Phone 22 9% Tablet 42 18% Game console (XBox, Playstation, etc.) 34 14% Apple TV / / Boxee / / Other set top box 29 12% Other 6 3%

Where are you when you watch TV and movies online? At home 92 76% At work 9 7% In public 6 5% In transit 9 7% Other 5 4%

How many hours a week do you spend watching TV and movies online? None 1 1% Less than 2 hours 10 11% 2 - 5 hours 42 46% 5 - 10 hours 25 27% More than 10 hours 14 15% Comparitive Analysis

How much of that time do you spend watching TV or movies on your own? None 7 8% Less than half 25 27% About half 23 25% More than half 23 25% All 14 15%

How much of that time do you spend watching TV or movies with other people?

None 13 14% Less than half 24 26% About half 24 26% More than half 23 25% All 8 9%

How likely are you to discuss what you’re watching with others? Very unlikely 4 4% Somewhat unlikely 8 9% Neutral 13 14% Somewhat likely 35 38% Very likely 32 35%

What do you use to discuss TV shows or movies? N/A 3 1% Text messaging 31 15% Instant messaging 22 11% Forums / comment threads 5 2% Facebook 23 11% Twitter 10 5% In person 87 42% Video chat 8 4% Phone 12 6% Other 4 2%

How likely are you to suggest something you’ve watched to others? Very unlikely 6 7% Somewhat unlikely 9 10% Neutral 3 3% Somewhat likely 39 42% Very likely 35 38%

How do you make these suggestions? In person 86 49% Text messaging 28 16% Instant messaging 17 10% Twitter 4 2% Facebook 20 11% Phone call 12 7% Other 7 4%

Built-in recommendation engine [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 16 17% Somewhat unlikely 22 24% Neutral 22 24% Somewhat likely 30 33% Very likely 2 2%

Friend's recommendation [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 1 1% Somewhat unlikely 1 1% Neutral 3 3% Somewhat likely 43 47% Very likely 44 48%

Social media [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 8 9% Somewhat unlikely 20 22% Neutral 30 33% Somewhat likely 30 33% Very likely 4 4%

What friends have watched [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 3 3% Somewhat unlikely 7 8% Neutral 23 25% Somewhat likely 39 42% Very likely 20 22%

User reviews, comments, or discussions [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 9 10% Somewhat unlikely 20 22% Neutral 33 36% Somewhat likely 26 28% Very likely 4 4%

Most watched list [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 15 16% Somewhat unlikely 17 18% Neutral 28 30% Somewhat likely 28 30% Very likely 4 4%

Word of mouth [How likely are you to watch a TV show or movie based on the following? ] Very unlikely 2 2% Somewhat unlikely 2 2% Neutral 5 5% Somewhat likely 58 63% Very likely 25 27%

Age < 18 1 1% 18 - 24 21 23% 25 - 34 53 58% 35 - 44 8 9% 45 - 54 1 1% 55 - 64 7 8% 65 + 1 1%

Gender Male 40 43% Female 52 57%

We'd love to follow up!

Name

Sandy s kudelka Luke Richard Robin Marcus Gabriel Justin Richardson Peter G Jacqui Steven Ben Sally Morgridge Eugene Amber Steve Muniz Alison Booth Sarah Erika Yih Emily Izakowitz Valentina Kogan Hibah Khan Katy Nancy Julie S Jessica Suzanne Lina Zoe Fisher CHRIS MAIRE Kim Kevin Jarred Anna Williams Seth Rosen Jane Monica Abdurehaman Glenn Adrienne Ryan Gee Emily Jaclyn Anderson HELLO BEAR! John Owen Pupperton Bento Hunter Lan Le Cory Alderman Josh Alan michaels Geada David Izakowitz Eric Flaxman angelynn Lisa Marcus Natalie

E-mail

[email protected] [email protected] [email protected] [email protected] NETFLIX Narrowed Down Scope of MVP to NETFLIX SOCIAL Focus on 4 Main Concepts: Eliminated Features

Mapped Out Use Cases

Details Spec:

A list of all screens and respective features we would be adding or altering NETFLIX SOCIAL

1st Iteration Sketches

I was responsible for : 1 ) Incorporating new watch list, share, & collection features into the detail view page

2 ) Unifying elements & interactions found on the detail view page, across iOS & Android device versions NETFLIX SOCIAL

2nd Iteration : Sketches + Prototype Build

I was responsible for : 1 ) Updating & enhancing the existing Global App Navigation, & Search Results page, to incorporate new features implemented 2 ) Adjusting the “Share” features & interactions on the existing movie player view page NETFLIX SOCIAL NETFLIX SOCIAL

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