The Track
A Section Blog
How to use AI for SEO content without sacrificing quality
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.
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.
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.
Your privacy guide to AI chatbots
We hear concerns about AI’s privacy policies every day, so let’s dig in. Here’s our guide to how the most popular LLMs treat your data (as of October 2023).
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.
