Covid-19 fundamentally changed not only how we work, but also how we measure business performance. Today’s cautious business owners are operating with a “slow and steady” mindset rather than “fast and ...

CIOs must help businesses weed out the AI duds as use cases advance beyond pilot projects. Here’s what IT leaders are ...

Imagine you're in a departmental meeting, and a person from your customer success department is speaking about "NRR," "NPR," "CHS," "churn" — and you stopped listening five minutes ago after ...

In Parts I and II, we tackled the basics of applying Recall, Rejection, and Precision in evaluating AI’s performance on document and conversational datasets. Part III brings these threads together for ...

With 74% of U.S. companies transitioning to a permanent hybrid work model, leaders are turning their attention to measuring the success of their hybrid work model. That’s because there’s a single ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Customer success teams across software companies monitor key metrics religiously—reviewing ...

In our first post, we will dive into the world of email datasets. Emails are a critical component of business communication, and AI plays a significant role in managing, sorting, and even responding ...

Now that 74% of U.S. companies are transitioning to a permanent hybrid model, leaders are turning their attention to measuring the success of their hybrid work model. That’s because there’s a single ...

Even if one or more of the usual metrics may work for you, they’re likely not the only metrics you should care about. As frustrating as it is to hear “It depends” when you need an answer, it’s far ...

Reverse-engineer success. Reverse-engineering customer success by analyzing what already works allows for clearer, more impactful goals and strategies. Focus on metrics. Shift focus to actionable, ...