Is Your Data Team a Dashboard Factory?
Part 0 of 5: The Problem. The first dashboard I built at HCA got opened four times. Total. Not four times a day. Four times ever.
Read articleBlog posts
Part 0 of 5: The Problem. The first dashboard I built at HCA got opened four times. Total. Not four times a day. Four times ever.
Read article →Your day looks like this: standup, sync, planning, review, requirements. Somewhere in there you're supposed to actually analyze data. The system was designed for software teams, not data teams. DPOS fixes that.
Read article →
I spent four years in the Navy not as a pilot, but as the person telling pilots where to go. The E-2C Hawkeye is an unglamorous aircraft. No missiles. No guns. Just a massive radar dome bolted on top and a crew inside watching screens. While fighter pilots got
Read article →
Last week I read Peter Yang's "25 Things I Believe in to Build Great Products." 25 Things I Believe In to Build Great ProductsWhat I believe in is often the opposite of how big companies like to workBehind the CraftPeter Yang His first principle? "Speed
Read article →
Last Thursday at 3pm, I coached a PM through her first 30 minutes in Claude Code. She'd never touched a terminal. By minute 7, she stopped being scared. By minute 20, she was synthesizing customer feedback across 12 call notes—something that used to take her half a
Read article →
It's 10:47am on a Wednesday. In the last 47 minutes, I've switched contexts six times: Reviewed a dbt pull request changing how master_person_stats.total_psych_visits is calculated * Debugged why the exec dashboard shows different numbers than Marketing's report * Analyzed a
Read article →
"Your gut is the world's most sophisticated machine learning model ever created." - David Lieb, General Partner at YC The $2M Dashboard That Nobody Used Three months into my role at a healthcare analytics company, our CEO pulled me aside with a problem. We'd just
Read article →Three months ago, I watched a senior PM at a healthcare company spend two hours "collaborating" with ChatGPT on market analysis. The conversation meandered through competitor research, customer interviews, pricing models, and go-to-market strategies. At the end: 47 screenshots, three different documents, and no clear next
Read article →
The best way to look at a problem is not to view it as a problem at all but as an opportunity to grow stronger, more skilled, more confident. - John C. Maxwell The Continuous Sprint Dilemma Six months into leading Revive's data product team, I faced a familiar
Read article →A product manager recently shared their breakthrough on LinkedIn after completing Shreya Shankar & Hamel Husain's AI Evaluation course: "Been hunting for repeatable frameworks for building AI products as a PM. The problem: AI products are non-deterministic by nature. Manual testing doesn't scale. I
Read article →
Data PMs face unique challenges: validating complex data relationships and schemas before building. This guide shows how to use GenAI tools to prototype data architectures, generate synthetic data, and test insights - condensing weeks of work into hours.
Read article →TL;DRPricing data products is a different beast from SaaS—value is contextual, and the product layer matters as much as the data.Start by understanding what makes your data valuable (to whom, and why).Layer on product experience: APIs, dashboards, integrations, and support are all pricing levers.Use a
Read article →How to leverage genAI GPTs/Projects to help your work ❗43% = the amount of time spent on unplanned ‘fire-fighting’ activities by product managers (Product Focus, Product Managers Survey 2023) If you're managing data products, this likely resonates with your experience. Consider your typical week: * Juggling complex requirements
Read article →
Data products need more than a trio.
Read article →
Why Data Product Managers Need Their Own Positioning Framework "Positioning defines how your product is a leader at delivering something that a well-defined set of customers cares a lot about." - April Dunford When I started my journey in data product management, I faced a reality that many
Read article →