[Episode 2] How to activate your creative brain in a PM interview?

You can’t unless it’s already on.

Source: https://images.app.goo.gl/DZ5YooFt6xmXJykf8

If a banker can be creative, why can’t you?

“Belief in your creative capacity lies at the heart of innovation.”

Creativity is not like running water that you can just turn on and off.

Creative ideas ≠ Creative features

Source: https://images.app.goo.gl/PUr6pyWKNNBHkn8KA

Let me give you an example. A common product design question is “Designing a camera for blind people”. At first sight, it might seem like a dumb question. Why would vision-impaired people need cameras at all?

As you dig deeper, you will realize that it is not true. Even though blind people don’t take pictures the same way as non-disabled people, they have the same need of recording memorable moments in their life. You can anchor on this insight and design a camera that allows blind people to capture the right picture without using eyes. You may discuss whether blind people tend to take pictures of themselves or others, how to guide them to locate the best frame, and how to design shutter button or flashlight for them, etc.

A better answer could be recognizing blind people’s needs of photo sharing. As blind people can’t see the pictures themselves, it’s most likely that they take a picture for sharing with families and friends. Based on this user insight, you can talk about designing more accessible sharing photo features.

An even stronger candidate may point out that the biggest pain point of a blind person is to see. This problem can be solved by a smart camera app supported by computer vision technology. Imagine a “Be Your Eyes” camera app. Users can point the app to any object and the camera will be able to recognize and tell the users what is in the frame. Example use cases include reading a restaurant menu, identifying the amount of a dollar bill and knowing who is at a party.

Let’s talk about fallback options

Photo by Aleksandar Popovski on Unsplash

Have a list of cutting-edge technology

Source: https://images.app.goo.gl/1HmUtunk9KTZHsNPA

Problem: With lots of mobile apps installed on their phones, users often struggle to locate an app quickly. As a result, they need to carefully organize apps to make them easier to locate, or use the search bar, or simply forgo great products by minimizing app installs.

Use cases: This centralized app recommendation system can automatically surface the right app based on users’ context. For example, if you have a dinner appointment at 6:30pm, when you unlock your phone at 6pm, your map apps will show up on your home screen as you probably need to navigate to the venue. As you arrive, OpenTable will be recommended so that you can retrieve the reservation details easily. An hour and half later, the system will suggest Venmo or other payment apps to help with your payments or expense splitting.

Source: https://images.app.goo.gl/otggGBTd2APFMP6r9

Problem: Cloth matching is often a frustrating experience because people spend a lot of time on it, it’s hard to keep track of all of your clothes and not everyone has good intuition about fashion.

Use cases: Imagine a smart wardrobe that uses computer vision technology to scan all clothes, accessories and shoes in your wardrobe. Then, it will recommend cloth matching based on your calendar and taste. For instance, you have a work out session in the afternoon or a cocktail party in the evening. The smart wardrobe can suggest what outfits you should wear today. The smart wardrobe can also make purchase recommendations for clothes, shoes or accessories based on the latest fashion trend. Also, what about connecting your smart wardrobe with your friends’? It would be super cool if you can like each other’s cloth matching or even share accessories or dresses.

Source: https://www.hansondodge.com/blog/2017/november/website-personalization-three-easy-ways-to-get-started/

Problem: People often have a hard time planning their museum tour efficiently. Most audio guide requires users follow a specific order of listening. For users who have limited time, a fixed agenda may make them miss some good part of the exhibition. Users also have different interests and may be attracted to only part of the museum.

Use cases: This personalized audio guide can detect the location of a user and play audio for the item the user is standing in front of. In addition, it will collect the amount of time the user spends on each item in the past, both in this museum and elsewhere, and personalize the tour in three different ways. First, it can recommend art pieces based on Collaborative Filtering, i.e. people like you have viewed these items. Second, it can tailor the quantity and diversity of items recommended, based on how much time a user has today. Third, it can recommend art pieces based on your past behavior, e.g. users probably want to spend more time on paintings than sculptures if enough data indicate that they favor one over the other.

Piece common products together

Source: https://images.app.goo.gl/aqJXkGmskoA5SDfQ8

Summary

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