How would you measure the success of Fever's curated event recommendations feature?

Introduction

Measuring the success of Fever's curated event recommendations feature is crucial for understanding its impact on user engagement and business growth. To approach this product success metrics problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Fever's curated event recommendations feature is a personalized discovery tool within the Fever app that suggests events to users based on their preferences, past behavior, and location. Key stakeholders include:

1. Users: Seeking exciting events tailored to their interests
2. Event organizers: Looking to increase ticket sales and attendance
3. Fever: Aiming to boost user engagement and revenue

The user flow typically involves:

1. Opening the app and viewing recommended events
2. Exploring event details and comparing options
3. Purchasing tickets or saving events for later

This feature aligns with Fever's broader strategy of becoming the go-to platform for discovering and booking local experiences. Compared to competitors like Eventbrite or Meetup, Fever's focus on curation and personalization sets it apart.

In terms of product lifecycle, the curated recommendations feature is likely in the growth stage, with ongoing refinements to improve accuracy and user adoption.