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Metrics & Analysis
Explain the significance of Net Revenue Retention (NRR) being above 100% for a growth-stage SaaS company. List the three revenue sources (New, Expansion, Contraction, Churn) that NRR accounts for, and define the one that separates NRR from Gross Revenue Retention (GRR).
List 4 key components that typically make up the Cost of Goods Sold (CoGS) for a cloud-hosted SaaS product (e.g., AWS/GCP fees). Explain why accurately tracking CoGS is critical for determining a sustainable gross margin.
Based on a list of churn reasons (e.g., Cost, Missing Feature, Switched to Competitor), propose a Mitigation Strategy (Product, Pricing, or CS action) for the two most common reasons cited by canceling customers.
Explain the concept of the K-Factor (Viral Coefficient). List 3 specific product features (e.g., referral program, multi-user accounts) that directly contribute to increasing the K-Factor for a team-based SaaS tool.
Define Time to Value (TTV) for a complex analytics platform. Outline the steps to measure TTV (from sign-up to first successful report generation) and explain why a high TTV leads to higher initial churn.
For a B2C language learning app, define a clear North Star Metric (NSM). Explain why this metric is superior to simple 'Monthly Active Users' and detail the two key contributing metrics (inputs) that directly drive the NSM's growth.
Outline a simple method for forecasting MRR for the next 3 months. The method must account for: 1. Starting MRR, 2. Churn Rate (expansion/contraction), 3. New Customer MRR (forecasted acquisition). Write out the final calculation formula.
Design a single-screen dashboard for a Product Manager. Specify the 5 most critical Product KPIs (e.g., Feature Adoption, Time-to-Value) that must be displayed to assess the success and health of the product in real-time.
Explain the simple formula for calculating Customer Lifetime Value (LTV) (using Average Revenue per User and Churn Rate). Identify two distinct, product-led growth (PLG) initiatives that directly and positively influence the LTV.
Develop a simple Lead Scoring Model for a sales-assisted SaaS. Assign point values (0-10) to 5 different user activities (e.g., website visit, demo sign-up, feature usage) and define the minimum score (MQL) required before the lead is passed to a Sales Development Rep (SDR).
Design a single-screen dashboard for a Marketing Manager. Specify the 5 most critical Marketing KPIs (e.g., MQLs, CAC, Website Conversion Rate) that must be displayed to assess channel performance and marketing efficiency in real-time.
Design a Churn Reduction Dashboard. Specify the 5 critical, real-time metrics (e.g., churn rate, active at-risk customers, dunning success rate) that the Customer Success team must monitor daily to proactively combat churn.
Outline a clear policy for Marketing Attribution of new sign-ups. Specify the difference between First-Touch and Last-Touch attribution, and define the single, primary attribution model the marketing team will use for calculating CAC.
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