19.11.2019

Over a span of years, artificial intelligence has gained tremendous momentum and popularity across all digital niches. Whether you are talking about conversational chatbots or data analytics, I can recall all these on my fingertips how this tech is being used for a plethora of purposes across the globe. But the question is what has this to do with mobile app development and user experience.
We all know exactly what AI is so I won’t get into that! I would directly jump into certain crucial principles that combine mobile app design with machine learning.

Try developing a shared language

Do you really think that the concept of user experience, product vision, and business goals should be understood by only the programming heads or the entire team? I will go for the latter one. The best way to create a meaningful and truly intelligent user experience is to blend mobile app design and machine learning development methods in such a way that they complement each other.

Any use case

If you think technology is one of the vital factors when developing a customer-facing app, it is not true! In fact, it is the business goals and the user experience that you plan on achieving. And that’s the reason why we are asked to crystalline the use case.
By keeping focus on the use case, you can easily put your intricate attention on the user flow. This allows the team to identify the main points where machine learning can be added to enhance the experience.
Having a clear understanding of these use cases will also assist you in determining the right KPI for the development of user experience program, which can be easily aligned with machine learning metrics.

Mix Quantitative and Qualitative Data

If you really wish to understand the true impact of combining the machine learning solution and user experience design, it is very important that you keep your tabs on both qualitative and quantitative data. In addition to this, make use of qualitative research methods like questionnaires, interviews. By doing this you will easily be able to measure how the users are experiencing your app.
⦁ Effectiveness of feedback loop
⦁ The ability of data point capturing intention
⦁ User behavior
are some of the most important factors and must known parts of the Artificial Intelligence app design can best be answered only after a deep consideration of both the data types.

Be Transparent

Whether you are designing for AI or not, designing any mobile app needs a constant effort and for it to be absolutely on point, it is important that you give a special focus to the data you have collected.
It is very imported to consider the end-user side in this cycle of collect data – convert data into information – iterate design. How about giving users an option to change? I mean all you have to do is tell users that their data is being used to feed the AI and give them the option to alter the collected information. And everything is done in such a way that the best context comes through. When data collected by the AI, you should also give them the option to change what the AI learns – to ensure that the predictions are what the users desire.

Combine Data to Real-Life Setting

Machine learning is actually used to develop comprehensible and fluent user experience, can you make sure this happens. Create an end to end solution that shows how machine learning and user experience fit together in the real world. Combining both UX designers and Machine Learning experts of your partnered AI app development company share the understanding of product design issues, iteration is productive and fast. While on the other hand, user experience designers become aware of possibilities that surround machine learning: when it can be used to improve the user experience and how.

Kibo Hutchinson

Kibo Hutchinson working as a Technology Analyst at Tatvasoft UK which is a mobile application development company. She has a keen interest in learning the latest practices of mobile development so she is spending most of her time on the Internet navigating unique topics.

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