After launching your MVP, your goal is to iterate towards product-market fit by using both hard data from analytics and soft data from user feedback.

Your primary metric should also be usable as a feedback mechanism, helping you prioritize strategies and make quick decisions in your startup.

Once you're building your product, defining your primary metric helps align your team on who your target users are and how to attract them.

Metrics are essential in product development as they provide a numerical representation of the value we deliver to customers. It's important to measure not just internal metrics but also how well customers achieve their goals using our product.

For MVP processes, I recommend using Google Analytics for user tracking, Amplitude for feature analytics, and FullStory for improving product usability.

It's important to track a few secondary metrics alongside your primary metric to gain a comprehensive view of your startup's health, rather than focusing solely on one metric.

Track the right metrics, focusing on returning usage, NPS, and paying customer renewal rates to gauge product market fit.

To measure product-market fit, identify a metric that reflects the value your customers derive from your product and track its repeat usage.

The key to achieving product-market fit is to continue iterating until you find something that resonates with users, rather than relying solely on metrics like signups.