What key metrics should be considered for a food delivery application? Which indicators would suggest an excess or shortage of restaurants and orders?

The question prompts you, as an interviewee, to pinpoint the key performance indicators (KPIs) or metrics that are vital for a food delivery application. This assesses your overall business insight and your grasp of supply-demand dynamics within a marketplace. The first part requires you to identify the primary metrics that are essential to track for a food delivery app. The second part asks you to determine which of these metrics would signal either an oversupply or undersupply scenario. In responding to this question, it's important to take into account metrics and KPIs from both the customer's viewpoint (such as order delivery time, app usage, etc.) and the business perspective (like the number of restaurants partnered with the app, gross merchandise value, etc.).

The key metrics for a food delivery application include customer lifetime value, customer acquisition cost, gross merchandise value, app downtime percentage, and average delivery time, among others. For instance, a strong customer lifetime value can indicate high levels of customer loyalty and satisfaction, whereas tracking average delivery time can highlight areas where performance and efficiency may need enhancement. An increase in the average waiting time for restaurants to receive orders from the platform may suggest an oversupply of restaurants, indicating that there are more restaurants than there are incoming orders. Conversely, a rise in average waiting times for customers receiving their orders could signal an undersupply of restaurants, meaning there are more customers than the platform can effectively accommodate.

The key metrics for a food delivery app include the number of active users, the speed of order fulfillment, the rate of order cancellations, and user satisfaction levels. For example, the speed of order fulfillment is vital as it has a direct impact on the user experience. Additionally, the user satisfaction rate is essential, as it can quickly influence the app's reputation and its potential for future growth. Regarding the balance of restaurant supply and order demand, a low ratio of orders per restaurant (calculated by dividing the total number of orders by the number of partnered restaurants) may suggest either an oversupply of restaurants or insufficient customer demand. On the other hand, a high cancellation rate could point to a shortage of restaurants or excessive demand from customers, potentially caused by long delivery times due to inadequate capacity.