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Company focus

Fever
Product Improvement Medium Member-only

What features could Fever add to its mobile app to increase user engagement between events?

Prepared by NextSprints

15 mins
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Feature Ideation User Segmentation Prioritization Event Management Entertainment Social Networking Product Strategy User Engagement Feature Development Mobile Apps Event Discovery
Product Management Improvement Question: Increasing user engagement for Fever event discovery app between events

Introduction

To increase user engagement between events on Fever's mobile app, we need to focus on creating compelling features that keep users connected to the platform and each other. I'll approach this challenge by first understanding our users and their pain points, then generating and prioritizing solutions that align with Fever's goals and user needs.

Step 1

Clarifying Questions (5 mins)

  • Looking at Fever's position in the event discovery space, I'm curious about the current user retention rates. Could you share some insights on our user churn and engagement metrics between events?

Why it matters: This will help us understand if we're dealing with a retention problem or if we need to focus on increasing engagement frequency. Expected answer: Moderate churn rate of 20% monthly, with users opening the app on average once a week between events. Impact on approach: High churn would prioritize retention features, while low engagement would focus on daily active user growth.

  • Considering the competitive landscape, I'm wondering about our unique value proposition. What are the top reasons users choose Fever over other event discovery platforms?

Why it matters: This helps us align new features with our core strengths and user expectations. Expected answer: Curated local experiences, exclusive events, and a social component that allows friends to plan together. Impact on approach: We'd focus on enhancing these differentiators in our engagement strategy.

  • Given the importance of personalization in today's apps, I'm interested in our current data utilization. How much user behavior data are we currently collecting and leveraging for personalized recommendations?

Why it matters: This determines our ability to create tailored experiences and content for users between events. Expected answer: Basic event preference data is collected, but there's room for improvement in utilizing behavioral data for personalization. Impact on approach: Strong data capabilities would lead to AI-driven engagement features, while limited data would require more user input-based solutions.

  • Considering the potential for monetization, I'm curious about our current revenue model. Are there any plans to introduce new revenue streams between events, such as partnerships or sponsored content?

Why it matters: This helps us align engagement features with potential business model expansions. Expected answer: Currently focused on ticket sales, but open to exploring additional revenue streams that don't compromise user experience. Impact on approach: Would influence whether we prioritize features that directly drive ticket sales or explore new engagement models with monetization potential.

Tip

Now that we've gathered some crucial information, let's take a minute to organize our thoughts before moving on to user segmentation.

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NextSprints

Updated Mar 29, 2025