Josué Barroso

<aside> ⚠️ This document has no professional rigor. My goal with it is to help you understand how my "thinking" works overall and showing some quick proposals.

My process always depends on the task to be solved. What information do we have about the problem beforehand? How mature is the product vision? What are our expectations? Do we want to learn quick? Do we want to iterate a fine-tuned flow? Do we want a short-term impact? Anycase, my process is full of questions that I use constantly to put the focus on the big problem.

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Problem to solve 💊

Before thinking about solutions, it is important to frame and double check the problem you want to solve. Therefore, I would like to re-define a little bit each "need" to feel it as a real problem and preventing thinking about solutions too early.

• To highlight coming relevant shows and movies,

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The user wants to know what is the most relevant content. He/She also wants to be aware of content about to be released in order to plan what to see.

• To emphasise some categories or genders over others

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Users want to find content in a simple and natural way that matches their interests.

• To spot where to place the shows that have finished their highlighted momentum into the layout

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The user wants to find shows no longer featured.

Research 🔬

I'm going to assume that the Disney+ target audience is very broad and diverse, from children to seniors. This is why it is vitally important to understand how each user group thinks and interacts with the app.

There are many research techniques but I’ll name the ones that I consider particularly useful to solve this problem:

• Card sorting. A good technique to understand how users group concepts based on their mental models and criteria. In our case it could help to group and sort content in our home screen.
• Benchmark: How do other similar video platforms group content? How do they sort it? How do they feature it? Would it make sense to use any of their solutions in a Disney+ context?
• Analytics: How do the users interact with the home screen? How much time do they spend on this screen? How much “scrolling” do they perform? How do they orient their devices (portrait / landscape)? Do we have a map relating terms based on usage? These maps are especially useful to recommend and group content.
• Perception tests: Let the user interact with the Home and ask him/her to describe what they experience. You can set some goals ("How would you search for an animal documentary?").