The Track
A Section Blog
Most leaders are thinking about AI all wrong
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.
4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.
The 10 essential business skills every person (or team) needs
I’m sure we’ve all had this thought over the course of our career: “I wish somebody could give me a playbook on how to be great at my job.”
Well, we’re here to tell you that being a great strategist isn’t a natural talent or a magic trick. It’s a list of critical skills that, when mastered, make you indispensable.
How to prioritize AI projects
If your company is all-in on AI like Section, you might’ve spent the last few weeks coming up with exciting AI projects to tackle in the new year. After the fun brainstorming work comes the less glamorous step of figuring out what your organization actually has the time and budget to execute. We're sharing a simple risk-reward framework to prioritize your AI projects.
Quiz: How should your business be using AI?
You know your business should be using AI in some way. But does that mean using it to generate a few headline ideas, or introducing a whole new AI product? The answer depends on the state of your business.
Take our quiz to determine how to best use AI for your unique needs.
Most leaders are thinking about AI all wrong
2026 is 60 short days away, so here’s the wake up call you need: you’re still thinking about AI through the lens of software, and the survival of your company depends on you shifting that mindset.
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
