Class 3: Becoming an AI design expert starts with becoming a data-driven designer
By: Jennifer Aue
Tags: AI, Data Science, Adfclass, Design

Discussion

What does data-driven design mean to you?

Netflix provides a great example of a data-driven customer-centric company. By introducing streaming video, their software “ate” the traditional DVD business. But Netflix soon realized their future wasn’t in the medium of delivery — it was in the wealth of data generated simply by people using the service. The day-to-day data generated by Netflix viewers provides a crucial ingredient to competing in the marketplace and defining the company’s mission: improving the quality of the service. Netflix uses passive data — the information gathered quietly in the background without disrupting users’ natural behaviors — to provide TV and movie recommendations, as well as to optimize the quality of services, such as streaming speed, playback quality, subtitles, or closed captioning. Of course, Netflix subscribers can contribute active feedback to the company, such as movie reviews or feedback on the accuracy of a translation, but the true value of Netflix’s user data is in the quiet, zero-effort observation that allows the company to optimize experiences with no friction or disruption to regular user behavior The future of software is data-driven by Dries Buytaret

2. Have you used data to find something out about their users and apply it to improving visual or interaction design?

3. What data we collect and the tools we use to analyze that data and give us answers about user behaviors

Amplitude

Find insights about your users and their interactions with your designs by creating if/then statements to get answers to your questions.

Find insights about your users and their interactions with your designs by creating if/then statements to get answers to your questions. Cloud Platform Analytics

Collects data on all of the user events we track for every Cloud product. Sends the data it collects to Amplitude so you can use it to create new insights. Where you go to request new data points be collected.

Collects data on all of the user events we track for every Cloud product. Sends the data it collects to Amplitude so you can use it to create new insights. Where you go to request new data points be collected. DB Warehouse Dashboard

I’m just learning about this but in short, it’s Amplitude but for products in the two DB2 warehouses. Connect with Marylia Gutierrez or David Kalmuk for more info.

4. Why would being a good at recognizing how data could improve UX lead to being a good AI designer?

Tomorrow’s applications will consume multiple sources of data to create a fine-grained context; they will leverage calendar data, location data, historic clickstream data, social contacts, information from wearables, and much more. All that rich data will be used as the input for predictive analytics and personalization services. Eventually, data-driven experiences will be the norm. And this basic idea doesn’t even begin to cover the advances in machine learning, artificial intelligence, deep learning and beyond — collectively called “machine intelligence”. Looking forward even more, computers will learn to do things themselves from data rather than being programmed by hand. They can learn faster themselves than we’d be able to program them. In a world where software builds itself, computers will only be limited by the data they can or cannot access, not by their algorithms. In such a future, is the value in the software or in the data? The future of software is data-driven by Dries Buytaret

5. How can we become awesome data designers and analysts?

What could a user tell me about this product/journey/page/interaction that would help me design a better experience?

How could I get the information I’d need from them to answer that question in the least obtrusive way?*

How many responses to my question will I need to feel confident in going forward with changes?

Do I have to make one answer, or should I be thinking about creating multiple options to give users choices or to A/B test?

For this section, we can use glassdoor as our example to pick apart:

6. Building relationships and collaborating with data experts

7. How would getting good at using data to influence decisions change the capabilities and role of a designer?

Using rules

Using machine learning

8. Homework discussion

What data did you identify as important for creating an IBM HR app?

Would your answer change now?

9. Eminence opportunities