The Track
A Section Blog

The hidden reasons you’re not getting AI ROI

How Squishmallows became the top-selling toy of 2022
What do Lady Gaga, Warren Buffett, and your eight-year-old nephew have in common? They all collect Squishmallows.
But if you’re not a collector, you might be scratching your head and thinking, “Why are these run-of-the-mill stuffed animals so popular?”
In this post, we dive into how the viral brand was able to break $100M in sales with a great marketing strategy (using lessons from Scott Galloway, Marcus Collins, and more).

5 insights on learning from Section's Annual Outcomes Report
We surveyed your employees on the blockers that stand in the way of learning. Read our post to learn how to engage them in learning and prove the ROI of your programs.

Why did HBO Max rebrand to Max? 4 insights
The internet responded to the HBO Max rebrand with an overwhelming, "Why?" So we dug in to find out the strategy behind their confusing move.

How Cascade took on its biggest competitor: the sink
Want to attack your real competition instead of the company down the road no one knows about? Learn how Cascade depositioned their number one competitor: the sink.

Can you build a team of just AI tools?
The same question has persisted all year: Can you reduce headcount by just using AI tools? Google’s Amit Rawal is trialing a largely AI-based team, and here are his lessons.

How to redesign roles with AI
Augmenting workflows is just the beginning of working with AI. To unlock huge time savings and strategy opportunities, eventually you need to rethink those processes altogether.

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.

AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.


