The Track
A Section Blog
How to use AI for SEO content without sacrificing quality
Every leader should have an operating manual. Here are 5 steps to build yours.
The things you do might be intuitive to you – but if they confuse your team, you're in trouble. Here's how to build an operating manual to make your decisions clear to everyone.
Want to be a better investor? Adopt these three mindsets
Think like an artist, an analyst, and a skeptic to make better decisions.
How to find your brand's purpose
Developing a brand purpose is a fundamental step for any company. Justin Lee shares how he uses the Section frameworks to uncover why his business exists.
5 steps to solve the tough problem in front of you
The ability to solve tough problems isn’t an innate talent or a magic act – it’s a process. Learn a step-by-step framework to break down problems and solve them in a data-driven way.
7 steps to writing a powerful sales pitch
In life, great stories can have a profound impact. Hence why you (we) wept like a baby at the end of Titanic.
But great stories don’t just belong on the big screen. Their power belongs in the business world too. The key to a sales pitch that wins clients, gets business, and drives results? You guessed it. Storytelling.
In this post, we’re going to walk you through positioning master April Dunford’s sales story framework. This is the narrative that helps you easily communicate the unique value of your product to customers.
5 questions every great manager asks their team
Stop asking, "When will I get this by?" and start asking the five questions that matter for coaching great teams.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
