How do you collect and analyze feedback and data from mobile learning apps to improve them?

2 Choose your methods and tools

Depending on your goals and metrics, you will need to select the most appropriate methods and tools to collect and analyze feedback and data from your mobile learning app. There are different types of data that you can gather, such as quantitative (numbers, statistics, ratings, etc.) or qualitative (text, audio, video, etc.). You can also use different sources of data, such as user behavior (how they interact with the app, how long they spend, what they click, etc.), user feedback (surveys, reviews, ratings, comments, etc.), or user testing (observing and interviewing users while they use the app, etc.). Some of the tools that you can use to collect and analyze data are analytics platforms (such as Google Analytics, Firebase, or Flurry), survey tools (such as SurveyMonkey, Typeform, or Google Forms), feedback platforms (such as UserVoice, UserTesting, or Appbot), or prototyping tools (such as Figma, InVision, or Marvel).

3 Analyze and visualize your data

Once you have collected your data, you need to analyze and visualize it to make sense of it and draw insights. You can use different techniques and software to analyze and visualize your data, such as descriptive statistics (such as mean, median, mode, frequency, etc.), inferential statistics (such as correlation, regression, t-test, ANOVA, etc.), data mining (such as clustering, classification, association, etc.), or data visualization (such as charts, graphs, dashboards, etc.). Some of the tools that you can use to analyze and visualize your data are spreadsheet software (such as Excel or Google Sheets), statistical software (such as SPSS or R), data mining software (such as RapidMiner or Weka), or data visualization software (such as Tableau or Power BI).

4 Interpret and report your findings

After you have analyzed and visualized your data, you need to interpret and report your findings to yourself and others. You need to answer questions such as: What are the main trends and patterns in your data? What are the strengths and weaknesses of your mobile learning app? What are the opportunities and threats for improvement? How do your findings relate to your goals and metrics? How do your findings compare to other similar apps or benchmarks? How can you communicate your findings effectively and persuasively? You can use different formats and media to report your findings, such as reports, presentations, infographics, videos, podcasts, etc.

5 Implement and evaluate your changes

Based on your findings, you need to implement and evaluate your changes to improve your mobile learning app. You need to prioritize and plan your changes according to their feasibility, impact, and urgency. You also need to test and monitor your changes to see if they are working as expected and if they are achieving your goals and metrics. You can use different methods and tools to implement and evaluate your changes, such as agile development (such as Scrum or Kanban), A/B testing (such as Optimizely or VWO), or user feedback (such as surveys, reviews, ratings, comments, etc.).

6 Iterate and improve your process

Finally, you need to iterate and improve your process of collecting and analyzing feedback and data from your mobile learning app. You need to review and refine your goals and metrics, your methods and tools, your analysis and visualization, your interpretation and reporting, and your implementation and evaluation. You also need to keep learning from your users and stakeholders, from your competitors and peers, and from the latest trends and best practices in mobile learning and educational technology. You can use different sources and resources to iterate and improve your process, such as online courses, blogs, podcasts, webinars, books, journals, conferences, etc.