Y Combinator Question 31: What Are Underlying Metrics That Contribute to Achieving Your Top-Level
This Y Combinator question dives deeper into your understanding of what drives your top-level KPI, examining the specific, actionable metrics that underpin your main measure of success.![Y Combinator Question 31: What Are Underlying Metrics That Contribute to Achieving Your Top-Level](/images/blog/share/y-combinator-question-what-are-underlying-metrics-contributing-to-success.jpg)
Part of the series:
Y Combinator: 40 Questions and 40 Answers
Y Combinator: 40 Questions and 40 Answers
Understanding and monitoring these underlying metrics is crucial as they provide the insights needed to optimize strategies and drive improvements.
1. Why Y Combinator Asks This Question
Y Combinator is assessing whether you have a detailed understanding of the factors that influence your primary business metric. This depth of knowledge shows that you’re not only tracking broad outcomes but are also engaged with the operational details that drive those outcomes.It reflects a well-rounded approach to business management and indicates that you are proactive about leveraging data for growth.
2. How to Answer the Question
Identify and explain the key metrics that directly impact your top-level KPI. These could include user acquisition rates, user retention rates, average revenue per user, session length, and more, depending on your specific KPI.Discuss how each of these metrics contributes to the overall performance indicator and what actions you take to improve these metrics.
For instance, if your top-level KPI is monthly recurring revenue (MRR), relevant underlying metrics might include new user sign-ups, churn rate, and average revenue per user (ARPU).
3. How NOT to Answer the Question
Avoid providing a list of metrics without explaining their relevance or how they interact to affect the top-level KPI.Don’t present shallow analyses that don’t show a clear connection between operational activities and overall business performance. Demonstrate a strategic approach to data analysis and business optimization.
4. An Example, Based on a Tech Startup
Let’s consider a tech startup, StreamLine Video, that offers a video editing platform with a subscription model. Here’s how they might respond:- Top-Level KPI: “Our top-level KPI is Monthly Recurring Revenue (MRR).” Underlying Metrics:
- New User Sign-ups: “Tracking the number of new users subscribing each month directly affects our MRR, as increases in new users typically lead to higher overall revenue.”
- Churn Rate: “This measures how many users cancel their subscriptions each month. Maintaining a low churn rate is crucial for sustaining our MRR. We focus on user engagement and satisfaction strategies to minimize churn.”
- Average Revenue Per User (ARPU): “We track ARPU to understand how much revenue each user contributes on average, which helps us optimize pricing and add-on features to maximize revenue per customer.”
- User Engagement: “Engagement metrics like daily log-ins and time spent on the platform are indicators of user satisfaction and predict long-term retention, which supports stable MRR.”
- Strategic Actions: “We employ targeted marketing campaigns to boost new user sign-ups, run regular feature updates and community events to enhance user engagement, and implement feedback loops to improve user experience and reduce churn.”
Y Combinator delves into how well startups understand the metrics that influence their primary KPI, emphasizing the importance of a detailed, actionable insight into operational metrics to drive strategic improvements and growth.