The Track
A Section Blog
Is Deep Research worth $200 a month?
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.
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).
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.
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.
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.
AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.
