The Track
A Section Blog
Most leaders are thinking about AI all wrong
Sponsor your direct reports, don’t just mentor them
Your team needs both mentorship and sponsorship to thrive. We'll unpack the difference between a mentor and sponsor, and share DEI expert Mita Mallick's guidance on why both roles are essential.
Prioritize the right metrics for your 2024 product roadmap
It's challenging to craft a product roadmap that balances different (sometimes competing) visions for the product. Get a deep dive into how we prioritize our roadmap using Gibson Biddle's framework for growth, engagement, and monetization.
Think like the company disrupting you
At a recent offsite, our CEO Greg posed this question: “When Section is disrupted, what will our competitor do to make us seem obsolete”? Check out our framework for getting ahead of your future competition.
7 ways AI will completely change the way you work
AI will change the way you work, from how you write copy to how you make business-critical decisions. Here are 7 strategic implications every leader needs to be aware of as we enter the age of AI.
Having morale issues? Try telling better stories
Unhappy workers have usually lost faith in their leadership's story. Here's how to tell a better one.
Can't stop checking your favorite app? Here's why.
Have you ever been bored and caught yourself checking Instagram just seconds after you closed it?
I’m sure you didn’t reopen it because you had an overwhelming urge to see more pics of your college roommate's lunch. You did it without thinking, like it was second nature.
If that sounds familiar, then I hate to break it to you: You have a habit.
And what’s more, that habit was built intentionally – by the people who designed your app.
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.
