how would you measure the success of strava's route planning feature?

Introduction

Measuring the success of Strava's route planning feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this product feature, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Strava's route planning feature allows users to create custom routes for running, cycling, or other outdoor activities. It leverages Strava's vast database of user-generated routes and popular segments to suggest optimal paths based on user preferences, such as distance, elevation, and surface type.

Key stakeholders include:

1. Users (athletes)
2. Strava (the company)
3. Advertisers and partners
4. Local businesses and communities

The user flow typically involves:

1. Initiating route planning
2. Setting preferences (activity type, distance, elevation, etc.)
3. Reviewing suggested routes
4. Customizing the chosen route (if needed)
5. Saving or sharing the route

This feature aligns with Strava's broader strategy of becoming the go-to platform for athletes to plan, track, and share their activities. It enhances user engagement and provides valuable data for Strava's community-driven approach.

Compared to competitors like MapMyRun or Komoot, Strava's route planning benefits from its extensive user base and activity data, potentially offering more accurate and popular route suggestions.

In terms of product lifecycle, the route planning feature is likely in the growth stage, with ongoing improvements and increasing adoption among Strava's user base.