ke it or not, it's up to us, the people who enjoy making things, to advocate for what we value and to value what we create. We must, on a base level, understand our numbers.
Everyone else's numbers are inflated, but your own data is your gold. Learn to trust your owned data and make decisions with verifiable performance metrics.
If you’re feeding yourself the same inputs as everyone else, you run the risk of homogenous, bland, boring content. This content research framework will help you find the right data.
Leave every participant with a clear understanding of what the team aims to accomplish. However, reaching that point involves research and stakeholder input. Check out our tips for running kickass kickoffs.
Can’t remember when you last took a look at your social analytics numbers? Today’s the day for a health check-up.
Iteration is a repetition of a process to solve a specific problem, and it’s a big part of how machine learning algorithms are developed. But the way devs and data scientists think about iteration doesn’t always match with editorial and entertainment industry production methodologies and norms.
Everything we've ever written about navigation, information architecture, and structuring content.
With Natural Language Processing evaluating most content online, keyword research is more important than ever. Here's everything we've ever published about it.