<aside> 📌
</aside>
FitTrack is a leading fitness tracking app with a strong user base. The app excels at tracking physical activities and health metrics but lacks engaging content that retains users. Recent analytics reveal a decline in Daily Active Users (DAU) and a reduction in average session length. Users appreciate the core functionality but desire more personalized, motivating, and interactive content.
<aside> 📍
</aside>
FitTrack currently offers set of core features that allow users to track their physical activities, monitor various health metrics, and set fitness goals. The app provides basic workout routines, diet plans, and motivational content, which are largely generated using static templates based on generic fitness categories. The app also includes basic notifications and reminders to encourage users to stay active. Users can view their progress over time through charts and reports, which provide a visual representation of their tracked activities and health metrics.
<aside> 📍
</aside>
Where Interviewer = Q-Questions ; Interviewee(Me) = A-Answers
Q1. What are the key activities or features that users currently engage with the most in the app?
A1:Users primarily engage with activity tracking and health monitoring features in the app.
Q2. At what points in the user journey do users typically drop off or become less active?
A2:Users typically drop off during onboarding and after the initial few sessions.
Q3. Are there any patterns or trends in user behavior that correlate with a decrease in DAU and session length?
A3:A decline in DAU and session length often correlates with the absence of personalized and engaging content.
Q4. How often do users interact with the app's core features (e.g., activity tracking, health monitoring)?
A4.Users interact with core features like daily activity tracking but engage less with other features.
Q5. What is the average time between user sessions, and how has this changed over time?
A5:The average time between sessions has gradually increased, indicating a decline in frequent usage.
Q6. How personalized is the current content for users, and what data is being used to tailor recommendations?
A6: Current content personalization is minimal, primarily using basic user data like age and fitness goals.
Q7. Are users providing feedback or expressing dissatisfaction with the relevance of the content they receive?