how would you measure the success of strava's activity tracking feature?

Introduction

Measuring the success of Strava's activity tracking feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this core functionality, I'll follow a structured framework covering product context, goals, and a hierarchy of success metrics while considering all key stakeholders.

Step 1

Product Context

Strava's activity tracking feature is the cornerstone of their fitness-focused social network. It allows users to record various physical activities, primarily running and cycling, using GPS data from smartphones or connected devices. The feature provides detailed information about each activity, including distance, pace, elevation, and route maps.

Key stakeholders include:

1. Users (athletes) - seeking to track progress and share achievements
2. Strava (company) - aiming to grow user base and engagement
3. Advertisers - targeting fitness enthusiasts
4. Device manufacturers - integrating with Strava's platform

User flow:

1. User starts activity tracking on device
2. GPS and other sensors collect data during the activity
3. User stops tracking, and data is uploaded to Strava
4. Strava processes and displays activity details
5. User can add additional information, share, and interact with others

Strava's activity tracking fits into their broader strategy of building the world's largest athletic community. It serves as the primary data input for their social features and provides valuable insights for both users and the company.

Compared to competitors like MapMyRun or Runkeeper, Strava differentiates itself with a strong focus on community features and segment-based challenges.

Product Lifecycle Stage: Mature - The activity tracking feature is well-established but continues to evolve with new integrations and data types.

Software-specific context:

• Platform: Mobile apps (iOS/Android), web interface, API for third-party integrations
• Integration points: GPS devices, smartwatches, heart rate monitors
• Deployment model: Cloud-based with regular app updates