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Predictive Evaluative Methodology for Mobile App Success

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Output from this activity:

Make a

canva.com⁠

presentation - Post it on your LINKED BLOG.

In this activity you will apply all the thinking you developed in this class to being a Mobile App Industry Analyst.

The ability to source, evaluate, analyze, and present reports on Data is one of the most highly paid professional specialties in today’s Algorithm Economy.

In this activity, you will learn how to do that and create an output that you can display on your LINKEDIN blog to attract employers’ interest and attention.

Imagine a world where your skills are not just in demand, but they're crucial to shaping the future. A world where your expertise opens doors to exciting opportunities and lucrative career paths.

Welcome to the thrilling realm of data analytics and reporting skills, where your future success is only limited by your thirst for knowledge.

You are embarking on a journey to acquire these sought-after skills, which are transforming industries and redefining success.

Let's dive into the exhilarating world of data analytics reporting skills and the rewarding income ranges they offer.

Objective

By the end of this activity, students will be able to research and analyze mobile app success and failure studies, develop a predictive evaluative methodology, and assess the potential success of a mobile app.

Materials

Internet-enabled devices (laptops or tablets) for research

Pens and paper for note-taking

Whiteboard or flip chart for group discussion

Introduction (15 minutes)

Begin the class by discussing the importance of understanding the factors that contribute to the success or failure of a mobile app.

Explain the concept of a predictive evaluative methodology and its role in assessing the potential success of a mobile app. Share examples of some successful and failed apps to spark interest and curiosity among the students.

Activity 1: Research Using Advanced Search Tools

Objective

Students will learn how to use advanced search tools like you.com, perplexity.ai, and ChatGPT to research mobile app success and failure. They will practice generating relevant ChatGPT prompts and assess the quality of the information obtained.

Materials

Access to you.com, perplexity.ai, and ChatGPT

Trello to organize information and do note-taking

Instructions

Begin by introducing students to the advanced search tools they will be using: you.com, perplexity.ai, and ChatGPT. Explain the benefits of each tool and how they can assist in researching mobile app success and failure.

Provide examples of typical ChatGPT prompts relevant to the topic. For example:

"What are key factors contributing to the success of mobile apps?"

"How can I find case studies of failed mobile app startups?"

"What are the primary reasons for mobile app failures?"

"What strategies can help improve the success rate of mobile apps?"

Instruct students to generate their own ChatGPT prompts related to mobile app success and failure. Encourage creativity and critical thinking in the formulation of their questions.

Have students use you.com and perplexity.ai to find articles, reports, and other resources related to mobile app success and failure. They should take notes on the information they find, focusing on factors that contribute to success or failure.

Ask students to use ChatGPT to answer their generated prompts. They should compare the information obtained from ChatGPT with the resources found using you.com and perplexity.ai. Encourage students to assess the quality and relevance of the information from each source.

After completing their research, students should compile their findings in a well-organized document. This document will serve as the foundation for the upcoming activities in the lesson plan.

Assignment

Students will present their compiled research findings, including notes on the information gathered from you.com, perplexity.ai, and ChatGPT by compiling visually interesting reports using the visually presentation tools available at Canva.com.

Activity 2: Analysis (30 minutes)

After completing their research, each group will analyze their findings and look for commonalities and differences between the successful and failed apps. They should focus on identifying the root causes of success and failure in the mobile app industry.

Some factors to consider might include:

User Interface and User Experience (UI/UX)

Market demand and competition

Functionality and performance

Marketing and promotion strategies

Customer support and updates

Activity 3: Developing a Predictive Evaluative Methodology (30 minutes)

Using the common factors identified in Activity 2, each group will develop a predictive evaluative methodology to assess whether a mobile app has the potential to be successful. This methodology should be a step-by-step process that takes into account the various factors that contribute to an app's success or failure.

For example, the methodology might include steps like:

Assessing the app's UI/UX

Evaluating market demand and competition

Analyzing the app's functionality and performance

Reviewing the app's marketing and promotion strategies

Evaluating the app's customer support and update history

Activity 4: Group Presentations (30 minutes)

Each group will present their predictive evaluative methodology to the class. Encourage students to provide feedback and ask questions about each group's methodology.

Conclusion (15 minutes)

Wrap up the lesson by summarizing the main points discussed throughout the class. Emphasize the importance of understanding the factors that contribute to the success or failure of a mobile app, as well as the value of a predictive evaluative methodology in making informed decisions about app development and investment. Encourage students to apply their newly acquired knowledge and skills in their own app development projects.

Deliverable

As using the resources of Canva.com, students will generative a graphical, visually appealing report illustrating their predictive evaluative methodology to a new mobile app of their choice. They should write a brief report assessing the app's potential for success, explaining their reasoning based on the methodology they developed.

Present your final work on your LinkedIn Blog.

You may wish to use your new Video Editing skills to present this as a Video.

Using Wolfram Alpha to generate reports on Mobile App Market Intelligence

Overview

This lab instructional workbook is designed to guide students through the process of gathering market intelligence on mobile app success and failure trends. Students will be using Wolfram Alpha Free Version as their primary research tool, along with other search tools, to access and analyze industry trends. This workbook covers step-by-step instructions on how to use Wolfram Alpha, compare its results with other search tools, properly cite sources, and reflect on the effectiveness of Wolfram Alpha as a market intelligence tool.

Objectives

By the end of this lab, students will be able to:

1. Use Wolfram Alpha Free Version to gather market intelligence on mobile app success and failure trends.

2. Compare and contrast information obtained from Wolfram Alpha and other search tools.

3. Properly cite sources used in their research.

4. Reflect on the effectiveness of Wolfram Alpha as a tool for gathering market intelligence.

Required Materials

Computer or mobile device with internet access

Wolfram Alpha Free Version:

https://www.wolframalpha.com/⁠

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Any other search tools you prefer (e.g., Google, Bing)

Instructions

Step 1: Access Wolfram Alpha Free Version

Visit the Wolfram Alpha website at

https://www.wolframalpha.com/⁠

to access the free version of the tool. You may be prompted to create an account or sign in, but this is not necessary to use the free version.

Step 2: Gather Market Intelligence on Mobile App Success and Failure Trends

Using Wolfram Alpha, enter search queries related to mobile app success and failure trends. Some examples include:

Mobile app revenue by platform

Step 3: Compare Wolfram Alpha Results with Other Search Tools

Conduct the same searches using other search tools (e.g., Google, Bing) to compare and contrast the information obtained. Record any differences or similarities you notice between the results from Wolfram Alpha and the other search tools.

Step 4: Properly Cite Sources

Ensure that you properly cite all sources used in your research, including data, charts, or graphs from Wolfram Alpha, as well as any other search tools. Use a consistent citation style (e.g., APA, MLA) throughout your work.

Step 5: Reflect on the Effectiveness of Wolfram Alpha

In a paragraph or two, reflect on the effectiveness of Wolfram Alpha as a tool for gathering market intelligence. Consider the following questions in your reflection:

How does Wolfram Alpha compare to other search tools in terms of the quality and relevance of information provided?

Were you able to find the information you were looking for using Wolfram Alpha?

What challenges, if any, did you encounter while using Wolfram Alpha?

Would you recommend Wolfram Alpha to others for conducting market research? Why or why not?

Assessment

Students will be assessed on their ability to:

1. Effectively use Wolfram Alpha Free Version to gather market intelligence on mobile app success and failure trends.

2. Compare and contrast information obtained from Wolfram Alpha and other search tools.

3. Properly cite sources used in their research.

4. Reflect on the effectiveness of Wolfram Alpha as a tool for gathering market intelligence.

Example Prompt

Dear ChatGPT, please the best way to write a ChatGPT prompt to report on 3 case studies of successful apps, and 3 failure case studies. Provide me with links and references to the details which I can use to create model that can help me to determine whether an app will be a success or failure, and to provide a methodology for building a successful app.

Sure, I can help you with that! Here's an example prompt you could use:

"Can you report on three case studies of successful apps, and three case studies of failed apps? Please provide links and references to details about each case study. Additionally, can you provide a model for determining whether an app will be successful or not, and a methodology for building a successful app?"

Now, let me provide you with some examples of successful and failed apps, along with references to details about each case study:

Successful apps:

TikTok - This social media app has taken the world by storm, with over 1 billion active users worldwide. It allows users to create and share short videos with various filters, music, and other effects. TikTok's success can be attributed to its ability to quickly capture and hold the attention of its users, as well as its advanced algorithm that recommends content to users based on their interests. For more information about TikTok's success, check out this article:

https://www.forbes.com/sites/solrogers/2021/02/08/why-is-tiktok-so-popular-a-look-into-the-psychology-of-the-app/?sh=4f4d64026268⁠

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Uber - This ride-hailing app has revolutionized the transportation industry, providing users with an easy and convenient way to get around. Uber's success can be attributed to its ability to provide a seamless user experience, as well as its ability to leverage technology to optimize its operations. For more information about Uber's success, check out this article:

https://www.forbes.com/sites/johnkoetsier/2019/05/10/the-secret-to-ubers-success-technology-and-branding/?sh=6d2f91e3129e⁠

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Zoom - This video conferencing app has become essential for remote work and communication during the COVID-19 pandemic. Zoom's success can be attributed to its ease of use and reliability, as well as its ability to scale quickly to meet the increased demand for remote communication tools. For more information about Zoom's success, check out this article:

https://www.cnbc.com/2020/06/17/how-zoom-rose-to-the-top-during-the-coronavirus-pandemic.html⁠

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Failed apps:

Google+ - This social media platform was launched by Google in 2011 as a rival to Facebook, but it failed to gain traction and was eventually shut down in 2019. Google+'s failure can be attributed to its lack of differentiation from existing social media platforms, as well as its poor user experience. For more information about Google+'s failure, check out this article:

https://www.theverge.com/2019/4/2/18290963/google-plus-shutdown-history-privacy-data-leak-gplus-exit-interview⁠

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Yik Yak - This anonymous social media app gained popularity on college campuses in the US, but it ultimately failed due to issues with cyberbullying and hate speech. Yik Yak's failure can be attributed to its inability to moderate user-generated content effectively, as well as its lack of a sustainable business model. For more information about Yik Yak's failure, check out this article:

https://www.theverge.com/2017/4/28/15469640/yik-yak-shutdown-what-went-wrong⁠

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Vine - This social media app allowed users to create and share short videos, but it failed to compete with other video-sharing platforms like YouTube and Instagram. Vine's failure can be attributed to its lack of innovation and failure to keep up with the rapidly evolving social media landscape. For more information about Vine's failure, check out this article:

https://www.theatlantic⁠

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Objective

Introduction (15 minutes)

Activity 1: Research Using Advanced Search Tools

Activity 2: Analysis (30 minutes)

Activity 3: Developing a Predictive Evaluative Methodology (30 minutes)

Activity 4: Group Presentations (30 minutes)

Conclusion (15 minutes)

Deliverable

You may wish to use your new Video Editing skills to present this as a Video.

Using Wolfram Alpha to generate reports on Mobile App Market Intelligence