Introduction
The trade-off we're considering is whether to replace the "People You May Know" section on users' newsfeeds with suggested Buy/Sell Groups. This decision involves balancing user engagement, monetization potential, and the overall user experience. I'll analyze this trade-off by examining its impact on key stakeholders, defining relevant metrics, and designing an experiment to validate our hypotheses.
Analysis Approach
I'd like to outline my approach to this trade-off analysis and ensure we're aligned on the key areas we'll explore.
Step 1
Clarifying Questions (3 minutes)
- Why it matters: Understanding the baseline performance helps assess the opportunity cost.
- Hypothetical answer: Moderate engagement, with 10% of users adding a new connection weekly.
- Impact: If performance is low, the trade-off becomes more attractive.
- Why it matters: Indicates the potential reach and relevance of suggested groups.
- Hypothetical answer: 30% of users engage with Buy/Sell Groups monthly.
- Impact: Higher engagement suggests more potential for the suggested groups feature.
- Why it matters: Aligns the trade-off with broader company goals.
- Hypothetical answer: We're exploring partnerships with major e-commerce players.
- Impact: Strong alignment could prioritize the Buy/Sell Groups suggestion feature.
- Why it matters: Helps evaluate the revenue implications of the trade-off.
- Hypothetical answer: Buy/Sell Groups generate 20% more revenue per active user than network growth.
- Impact: Higher monetization potential could favor the Buy/Sell Groups suggestion.
- Why it matters: Gauges potential user reaction to increased commercial content.
- Hypothetical answer: Mixed sentiment, with younger users more receptive.
- Impact: Negative sentiment might require a more cautious, segmented approach.
Practice similar questions
Subscribe to access the full answer
.png){kind=logo}
