Introduction
Measuring the success of LinkedIn's save 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.
Framework Overview
I'll follow a simple success metrics framework covering product context, success metrics hierarchy.
Step 1
Product Context (5 minutes)
LinkedIn's save feature allows users to bookmark jobs, articles, and profiles for later viewing. This functionality is crucial for enhancing user engagement and providing value to both job seekers and content consumers on the platform.
Key stakeholders include:
- Job seekers: Looking to organize potential opportunities
- Content consumers: Saving interesting articles or posts
- Recruiters and companies: Indirectly benefiting from increased engagement
- LinkedIn: Aiming to boost user retention and platform stickiness
User flow:
- User encounters interesting content (job, article, profile)
- Clicks "Save" button (usually represented by a bookmark icon)
- Content is added to user's "Saved Items" list
- User can access saved items later from their profile or dedicated section
The save feature aligns with LinkedIn's broader strategy of becoming an indispensable professional networking and content platform. By allowing users to curate and revisit content, LinkedIn increases the likelihood of return visits and longer session times.
Compared to competitors like Indeed or Glassdoor, LinkedIn's save feature is more versatile, covering various content types beyond just job listings.
Product Lifecycle Stage: The save feature is in the maturity stage, being a well-established functionality that users expect. However, there's potential for growth through improved discoverability and integration with other features.
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