Look for signs of engagement from senior management and whether your colleagues seem busy and productive, as these can indicate the company's health.

As a manager, it's crucial to provide your team with as much actionable information as possible to help them make informed decisions.

Inspecting metrics like adoption, engagement, and retention is essential to understand how users interact with an AI product and its effectiveness.

It's crucial to analyze quantitative data, like user logs and retention curves, to understand how your product is actually being used, rather than relying solely on user feedback.

Having an analytics dashboard with key performance indicators visible at all times helps maintain focus and awareness of business health.

There's often a disconnect between what users want and what decision-makers prioritize. Engaging with decision-makers can reveal insights that users may not be aware of, which is essential for aligning your product with company goals.

If applicable, know your Net Promoter Score (NPS) and retention rates, as these are crucial metrics for consumer products.

To determine if users are getting value from a product, simply measuring engagement, like watching more content, can be misleading; for example, watching fight videos may not reflect true user satisfaction.

Enterprise clients often have established metrics and performance indicators, allowing us to track how much time is spent on tasks and the impact of AI adoption.