Using Machine Learning To Develop Wireframes For Your Mobile Apps

Using machine learning to develop wireframes is an important tool for creating top notch mobile apps. Here's what to know about it.

November 2, 2018
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The term big data had already been coined back in 2010 when I was working in digital marketing and would see how strongly big data and deep learning impacted the mobile development profession.

One of the biggest changes is the role of machine learning. Daryna P., a copywriter with RubyGarage, states that the applications of machine learning are virtually endless. Daryna  alludes to a study from SalesForce showing that 57% of customers are willing to share their data with companies that plan to use it to make their experience better.

However, collecting customer data won’t do you any good if you don’t put it into practice. You need to develop a well-thought out wireframe and know what types of data to collect to implement it successfully. Here’s what to know about using machine learning to develop wireframes.

Developing a Proper Wireframe with Big Data

To make your IT project successful, you have to take a rational approach into getting apps done. And in this guide, we’re here to help you make your first mobile with the help of wireframes.

Step 1: Start with Pre-Planning and Research

The first stage is the most vital one because it helps you clearly decide which is the next step. In this step, it’s important to do some significant conceptualizing and research before moving onto the next stage.

To succeed, ask yourself the following questions:

  1. Who is my target audience?
  2. Is this a free or paid app?
  3. What’s the main point of the app?

When you have the time to answer each of these queries, then you’ll realize how much time it takes to create the app. This is important at this stage is to analyze your market competitors. We suggest that you do a detailed research on your rival’s app to see what important highlights they’re pushing forth.

Once you have this data, then you can find out the ideal time, cost, and expenses for developing the mobile app.

Step 2: Mental Prototyping

When Android developers have finished the discovery stage of the project, this stage includes creating a point by point scope of your work. You’ll have to complete a psychological prototyping of the app to visualize your ideas in the form of multiple whiteboard sketches.

This is the primary visual of thoughts that you’ve gathered in Phase 1. And it helps you reveal usability issues. By making a mental prototype of the wireframes for mobile apps, you’ll can ask your team to see their feedback on your thought.

Talking to your team will allow them to make sense of all of the loopholes present. This will help you search for an answer, in order to solve them.

Step 3: Understand Technical Possibility

Having full comprehension of the visuals isn’t sufficient if you don’t know the coding and wireframes behind your mobile apps. Plus, you have to make sure that the back end of your site can support your app’s functionality.

In order to find out if the notion of your app is fully possible, you have to obtain access to its public data. This can be done easily via APIs. You have to find out what stage of the app you’re building for. Creating an app will have multiple necessities that rely on its platforms (iOS and Android).

Step 4: Design, Develop, and Test the App

Once you figure out the technical possibility, make a prototype for the app. This helps you create a basic framework on the final result and how your site will appear to your viewers. However, you shouldn’t stop here.

Before you deploy your app, make sure that you have tested it thoroughly. This means that you should go through a testing phase and debug any coding issues ahead. As a result, your viewers will like your app and be compelled to use it again.

Step 5: Continually Collect Data and Use Machine Learning to Optimize Your App to Its Full Effectiveness

Your wireframe is dependent on getting the best possible data to operate it. The problem is that most app developers make a couple of mistakes:

  • They don’t have an actionable plan for their data. What types of data will be most useful and how can they apply it for their app?
  • They only collect data that customers have consciously shared. You should focus on collecting data from customers engaging with your apps. This will make it easier to understand their behavior and improve the UX of your system. Keep in mind that you can get better insights by studying your customer behavior than you would ever get from what they tell you about themselves.

Optimizing your app is going to take time and a deep understanding of machine learning. However, the payoffs will be huge.

Machine Learning is the Key to Developing a Quality Wireframe for Your Apps

Machine learning is highly valuable in app development. It can help you create high quality wireframes. After following those steps, then you can launch and deploy your app. By making sure that your app is thoroughly checked, you’ll prevent any issues from being displayed on your page. Thus, by getting wireframes for mobile apps your increase the chances of your page becoming more acceptable to your viewers.