Over the last couple of years, artificial intelligence (AI) has been incredibly popular across multiple digital mediums.
Whether it’s conversational chatbots, data analytics or everything in between- given its flexibility and convenience, this technology is now used for a range of purposes.
But how does it affect mobile app user experience? Can you really alter the experience of end-users with AI? Also, how can a developer implement artificial intelligence to enhance the user experience?
These are some of the many questions we will answer over the next few sections.
The defining feature of AI is the fact that it makes way for better decision making.
This primarily happens because technology can effectively analyze and assess huge chunks of data, which is almost impossible for humans.
For instance, imagine a situation where you have a huge bit of data. Since this data is about the customer feedback on your app, it is especially important for you and your business.
So, how do you analyze or assess this feedback? A common option would be to create a program that is tailored to read and assess the feedback.
However, this program will still lag when compared to artificial intelligence. Unlike a generic program, artificial intelligence will read and process the same data in a humane way.
This will allow developers to make better and more informed conclusions which in turn can be used for making important decisions regarding the application.
So, if used the right way, artificial intelligence can help spearhead the decision-making process, simplifying data analysis for developers and business heads.
So, in a way, artificial intelligence can help personalize market strategy. Since this establishes better engagement and connection with the end-user, it is one of the most essential areas of business.
Our mobiles are already tailored to meet our unique requirements. It works differently for all of us.
However, this doesn’t necessarily mean that every app is different for every user. On the contrary, they are the same or almost similar.
When it comes to customization across individual levels, it’s almost minimum to non-existent. This is yet another area where artificial intelligence can help.
Thanks to this technology, you can add personalized updates for every user using the phone system’s mobile apps.
Artificial intelligence will first record the behavior of the user. Next, it will automatically implement the required changes or recommend changes to the user for a more enhanced experience on the user’s end.
Since the entire process offers more context in using the application, it is certainly an excellent way to drive user engagement.
It goes without mention that artificial intelligence establishes a better connection with users. It usually does this by analyzing the bigger data bits.
Thanks to the analysis, it allows mobile applications to establish a connection with a user on a more profound level.
So, how does it achieve this goal? As an individual start operating your application, artificial intelligence stores important details about their app-based behavior.
This is even easier if the concerned individual uses the AI-based chatbot on your mobile application.
With more frequent use, the AI-bot will store the behavior of the user, allowing them to exert better control over how they are willing to use the app.
Several industry bigwigs are already leveraging this benefit, and it will only go-ahead from this stage.
If you are wondering how artificial intelligence can be used for enhancing user experience, here are some pointers:
One of the easiest ways to establish a meaningful user experience is by combining the application design and artificial learning frameworks so that they duly complement each other.
When both the frameworks truly complement each other, the end-user enjoys a better and more personalized experience.
Since this causes them to use your application more frequently, your goal should be to create shared experiences for the user.
If you want to create an application that drives user engagement, it is important to ensure that the technology used is well-aligned with your business goal.
That is why it is especially important to work on your use case.
When you entirely focus on the use case, it will naturally allow you to focus on your consumer stream.
After a point, your team will be able to identify the key areas where artificial intelligence can be implemented for enhancing user experience.
For instance, if you do not have a dedicated customer support unit, you can leverage artificial intelligence in the form of chatbots of a virtual phone number to connect with the user.
As your user shares the data, the artificial intelligence-backed application will store it and use it for making better decisions.
Note that a proper insight into the use case also assists companies in ascertaining the right KPIs that will accurately result in greater engagement.
In a bid to assess the real impact of implementing artificial intelligence in your existing framework, it is extremely important to consider both qualitative and quantitative data.
That means you should be in a position to use the various qualitative research methods like questions, feedback, and interviews for quantifying the way your user is operating your application.
Here, we are especially focusing on the blend of qualitative and quantitative data because when you create a new application from scratch, it is only probable that you will encounter unexpected elements that will entirely impact the development of artificial intelligence as well as the consumer experience.
Certain vital factors like the capacity of shooting in data points, the average disposition in a feedback loop, the end-behavior of the user- all of which are some of the integral sections of your artificial intelligence framework can only be answered once you thoroughly assess the various forms of information.
Artificial intelligence is a technology like none other. If used the right way, it can drive user engagement and improve the overall user experience of your app by significant numbers.
That is why it is imperative to implement the best AI-centric strategies that’ll not just drive growth but also bring value to the user.
Since you’re now at the concluding section of this article, we hope you duly understand how AI can indeed affect mobile app user experience.
Samantha Roberson is a Content Analyst at Talkroute. She does researches and analyzes software to educate and advice to the business managers to streamline their business. She’s passionate about analytics, conversion rate optimization and reading novels.
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