Analyzing Mobile App Survey Data: Interpreting Charts
Blog post from Luciq
Exploring survey data can provide valuable insights into app performance by identifying trends and connections through basic data analysis techniques. Using a fictional example from the app InstaBite, a pie chart initially reveals that online ordering is the favorite feature among users. However, this visual alone is insufficient, prompting further analysis with bar and line charts to uncover how preferences have shifted over time and to explore potential reasons for these changes. For instance, the decline in favorability for the Meal Match feature coincides with an increase in bug reports, particularly from users on a specific operating system, suggesting a correlation. The blog emphasizes the importance of integrating contextual data from diverse sources, such as bug reports and user feedback, to gain a comprehensive understanding of user experiences and app performance. Moreover, employing tools like NPS surveys and combining quantitative and qualitative data can help validate hypotheses and provide a clearer picture of user sentiments, ultimately enhancing decision-making and app development strategies.