The Track
A Section Blog
7 hard-won lessons from deploying AI at scale
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.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
Free trial vs. freemium: Which product-led growth tactic is right for you?
Have you ever set up a free trial to test drive a product before you bought it? We bet you have (and you might have even forgotten to cancel it after the week was up – oops).
In our workshop Driving Product-Led Growth, industry guru Wes Bush teaches you to use “try before you buy” tactics – like free trials, freemium, and demo modes – to capture customers long before they swipe their credit card.
Here, with Wes’ help, we share an easy-to-use framework for picking the tactic that’s right for your business.
3 steps to uncover your real competitors (hint: they may not be who you think)
April Dunford is a product positioning expert who helps executives zero in on the real competitive alternatives to their product.
In this post, we’ll share some of her tips.
Where's the money going to be made in AI?
Not every AI investor will make their money back. In this post, we dig into the AI business models that will work, and those that will be the next Pets.com.
10 lessons from running a startup in 2023
This was a hard year for Section, but we’ve come out of it fitter and stronger. Here are 10 lessons that I’ve learned about running a startup – hoping they provide some inspiration to you.
Warmly CEO: “Do 30% more with AI, or you’re underperforming”
We’ve seen a lot of bold announcements and leaked AI manifestos recently painting a future of clear, AI-first leadership. We sat down with Warmly’s CEO, Max Greenwald, to talk about his own AI mandate: 30% growth from every employee by the end of the year.
Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.
