Slow and steady creates results
Photo by Jason Leung on Unsplash Join smart, curious folks to get the Data Ops 📊 newsletter each week (it’s free!) Photo by Tamanna Rumee on Unsplash This is the 48th essay I’ve written this year. How am I doing?…
Building a data-driven demo
Join smart, curious folks to get the Data Ops 📊 newsletter each week (it’s free!) One of the hallmarks of Product Led Growth (or “self-guided trial” if you’re old-school like me) is the ability for trialers to get their hands…
What is it like to startup?
Patrick McKenzie’s excellent article “What Working at Stripe Has Been Like” has spurred my brain this week into thinking about the difference between working for a “regular” company and a startup, and the relative changes needed in perspective to enjoy…
Practice “Red Flag” moments in data operations
Photo by Abby AR on Unsplash If you’re reading this but haven’t subscribed, join our community of curious GTM and product leaders. If you’d like to sponsor the newsletter, reply to this email. Photo by Abby AR on Unsplash During…
Moving from Reports to Insights
Almost all organizations maintain reports based on their collection of 1st party data. First-party data – data collected directly from user actions – delivers feedback on what’s happening in your system based on customer and user activity. First-party data looks…
What is Data Operations, Anyway?
What is Data Operations, Anyway? Data Operations is a hidden team in your organization, connecting business and people systems and helping Sales Operations, Marketing, and Customer teams to present accurate metrics, marketing data, and customer operations to executive leaders. You…
Bringing a programmer’s mindset to no-code
Join smart, curious folks to get the Data Ops 📊 newsletter each week (it’s free!) If you look at an image in a popular magazine article like the one above on the phenomenon we are all calling “no-code” software development,…
Applying Regular Expressions to Sort Items in Google Sheets
Lists are more useful when grouped. When you need to analyze a large list of items, you need to create areas of commonality to enable grouping and sorting that list. A simple example of grouping might be to think about…
What will you let drop today?
Photo by Austin Chan on Unsplash When you work in a startup, you are guaranteed to make a decision that will disappoint someone today. Every day is a series of stack-ranked decisions. You decide (in near real time) whether Item A is more…
