mobile app development

How To Use Machine Learning Tools To Develop Mobile App Wireframes in 2021

Know the step to develop effective wireframes using machine learning tools

Machine Learning

In 2010, the term Big Data became a trending buzzword and that was the time when other emerging technologies like Artificial Intelligence and Machine Learning caught on speed. From big data to deep learning, many new technologies made their way into different industry vertical which included the field of mobile app development as well.  

So in this article, we will be shedding some light on the various roles of machine learning, one of them being developing wireframes for mobile applications. The thing about machine learning applications is that they are virtually endless and that leaves a great scope of use cases to be explored.

Machine Learing

According to a study released by SalesForce, it was seen that 57% of the total customers are willing to share their data with brands and companies that plan to use it to make their user experience more pleasant.

Now let's straight move on to the part where we will be sharing everything you need to know about effectively using the machine learning tools for developing the mobile app wireframes.

How to Build Wireframes for Mobile Apps

Today, smartphone plays a vital role for tech-savvy developers as well as budding entrepreneurs from all around the world who working hard to build a cutting-edge mobile app to succeed in the market. But there are just a few professionals when it comes to leveraging contemporary technologies like ML i.e. machine learning tools.

Below are the steps that are required to develop wireframes using ML in mobile development and other technologies like big data:

1. Do your Research & Pre-Plan

In the case of machine learning app development, it is always better to start by pre-planning about the procedure once the R&D is done. This stage is crucial and cannot be taken lightly so make sure you perform an in-depth research and emphasize on significant conceptualizing before moving on with the next step.

Here are some questions that you need to ask yourself as an app developer:

  • Who is my app's target audience?
  • Is my app free or paid?
  • What’s the main objective of the app?

If you answer these questions clearly then it will not only simplify the entire process but also clarify the upcoming steps of the procedure of using machine learning in mobile apps.

2. Rough Prototyping

The next step is to perform a rough or mental prototyping for your application which a mobile app developer can initiate after the discovery stage is completed. In this phase, a step by step approach is taken into consideration for building the scope for the app development project.

Rough Prototyping

The above images shows the basic example of the prototyping stages of a mobile application.

This is the part where you will be required to perform an entire psychological prototyping of your application so that you can visualize the primary idea on which your mobile app will be working. The developer can do so in the form of various whiteboard sketches to make the process easy to understand.

The second stage is used to find the usability issues that can be faced by the app users and to overcome this you can go ahead and gather the feedback of the app testing team. Once the loopholes are exposed, the developer can work on eliminating them and then checking the app again for any issues.

3. Know the Possibilities

One mistake that many developers make is thinking that having complete comprehension of the visuals is sufficient when it's clearly not! So if you are someone who doesn’t know the coding or ML algorithms for developing wireframes then you need to understand the technical possibilities of your mobile apps.

Here, you also need to ensure that the back-end machine learning app development can also support your app’s functionality efficiently as well as effectively.

At this point, you need to make sure that the notion of your mobile application is completely possible and for that you have to obtain access to its public data as well and this can only be done via the APIs. Just know the exact stage that you are developing your app for the platform you are choosing, for example, iOS or Android.

4. Test your App again

Once you have designed and developed the app, the next thing you need to do when it comes to using machine learning in mobile apps is to test it. Go ahead and figure out the technical possibility then make a prototype for your application. This will also help in developing a basic framework for the final outcome of your app that will be visible to the end-users.

Apart from this, deploy your app ensure that you have tested your apps a couple of times and resolved the issues that were surfaced during this stage to make the app more appealing for the target audience.

5. Keep Collecting Feedback

It is very essential that you continuously keep collecting data from the end-users and optimize the ML algorithms to upgrade your mobile application up to its full efficiency. Here are some of the mistakes that the app developers need to stay clear from:

  • When developers don’t have an actionable plan for their data.
  • When they only collect data that app users have consciously shared.

app developers need

To avoid these things, the developer should focus on collecting data from customers engaging with your apps. This will make it easier to understand the users' behavior and improve the UX (User Experience) of your system as well.

Also, keep in mind that you can get better insights by researching on your customer behavior with the help of demographics and analytics. Be patient because optimizing your app can take some time with some deep understanding of machine learning but the payoffs will also be huge.

Conclusion

So these are steps that you need to know to develop wireframes for mobile applications while using machine learning. The ML algorithms and machine learning tools are not just limited to this use as there are many other machine learning use that we will be covering in MobileAppDaily's upcoming articles so stay tuned.

Our expert suggestion would be to keep yourself updated with the advancements made in emerging technologies like artificial intelligence, machine learning and big data and look for future technology trends. And if you like reading such informative articles on trending topics of the mobile app industry then make sure you click on that 'Subscribe' button to stay notified.

Aparna <span>Growth Strategist</span>
Written By
Aparna Growth Strategist

Aparna is a growth specialist with handsful knowledge in business development. She values marketing as key a driver for sales, keeping up with the latest in the Mobile App industry. Her getting things done attitude makes her a magnet for the trickiest of tasks. In free times, which are few and far between, you can catch up with her at a game of Fussball.

Want To Hire The Best Service Provider?
MobileAppDaily will help you explore the best service providers depending on your vision, budget, project requirements and industry. Get in touch and create a list of best-suited companies for your needs.

Featured Success Stories

mobile app development

How Much Does it Cost to Maintain an App in 2023?

4 min read  

App maintenance is a recurring and crucial task for every app. Even if you had built an amazing app and added every possible security and safety feature, apps can still have glitches revealing themselves after some time. Therefore, the need for mobile app maintenance occurs. App maintenance

mobile app development

Bugs and the Bottom Line: A Rare Look at the Cost of App Instability in 2021

4 min read  

The move from mobile ready to mobile first has garnered much industry attention.  Gartner projects that, by the end of 2017, demand for mobile app development will be five times more than development capacity due to the pressures of mobile first.  Add to this the complexities for developin

mobile app development

A Complete Guide On Python Multithreading And Multiprocessing in 2021

8 min read  

Multithreading is a core concept of software programming wherein software creates multiple threads having execution cycling. Several processors can use the single set of code at different coding stages. In software programming, a thread is the smallest unit of execution.What does a thread i

mobile app development

What are the common Android App Development Challenges in 2021?

4 min read  

Developing Android apps is an evolving process that has come a long way since its inception. Though the process has been simplified, new technological advancement and the inclusion of new features and functionalities keep things challenging for developers.There are numerous things to consider wh

Featured Success Interview

Interview

Interview With Coyote Jackson, Director of Product Management, PubNub

MAD Team 4 min read  

MobileAppDaily had a word with Coyote Jackson, Director of Product Management, PubNub. We spoke to him about his journey in the global Data Stream Network and real-time infrastructure-as-a-service company. Learn more about him.

Interview

Interview With Laetitia Gazel Anthoine, Founder and CEO, Connecthings

MAD Team 4 min read  

MobileAppDaily had a word with Laetitia Gazel Anthoine, Founder and CEO, Connecthings. We spoke to her about her idea behind Connecthings and thoughts about the company’s services.

Interview

Interview With Gregg Temperley, Founder Of ParcelBroker App

MAD Team 4 min read  

MobileAppDaily had a word with Gregg Temperley, Founder. We spoke to him about his idea behind such an excellent app and his whole journey during the development process.

App Development

How to Implement Artificial Intelligence and Machine Learning in an Existing App?

MAD Team 11 min read  

AI is for decision making, and ML makes the system to learn new things from data.

MAD Originals
MAD Originals

Cut to the chase content that’s credible, insightful & actionable.

Get the latest mashup of the App Industry Exclusively Inboxed

  • PRODUCTS
  • SERVICES
  • BOTH
Join our expansive network, build connections and expand your brand presence.