35 posts
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
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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![Pricing [data]points and Predictions: Data Product Pricing Frameworks](https://images.unsplash.com/photo-1488229297570-58520851e868?crop=entropy&cs=tinysrgb&fit=max&fm=webp&ixid=M3wxMTc3M3wwfDF8c2VhcmNofDd8fGRhdGF8ZW58MHx8fHwxNzQ3MDk5MTAyfDA&ixlib=rb-4.1.0&q=80&w=1200)
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
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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
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Data products need more than a trio.
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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
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Building products and companies is about managing continuous uncertainty. You never know enough about the customer, market, competitors, and world at a point in time. Technology and possibilities are constantly changing. The competitors are doing their best to cut you off at the knees and redefine a market. Your customer
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Growth is driven by compounding, which always takes time. Destruction is driven by single points of failure, which can happen in seconds, and loss of confidence, which can happen in an instant. - Morgan Housel, Psychology of Money Working with data requires holding two things true at once. You must constantly
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Meta's new healthcare ad restrictions aren't just another privacy update - they're a fundamental shift in how we'll have to think about healthcare growth. Drawing from my years measuring health system campaigns at Revive Health, I break down what this means for data and product leaders, why CDPs mig
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Forget what you know about product-market fit for traditional SaaS—data products play by a different rulebook. In this post, I share ten uncommonly useful observations from my years in the healthcare data trenches, challenging conventional wisdom and providing a roadmap for success in the complex wo
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In this era of frothy "generative AI" talk and valuations, data has become the lifeblood of organizations, powering innovation and fueling competitive advantage. The much-hyped AI models and products are so fascinating because they were trained on vast amounts of curated, labeled, and sourced data - both clean
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A New Approach for Complex Environments: As a young business analyst, I started my first contract in a warehouse and operations plant. A hundreds of years old manufacturer that had no ERP (enterprise reporting platform) or inventory tracking yet was wildly profitable for decades (their products were sold in cans
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Here are 20 lessons covering building data products, working with teams, and being a better version of who you already are.
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Psychological safety is NOT easy, comfortable, "sunshine and rainbows", or BS. It is hard, confronting, realistic, and grounded. Without constructive conflict, you fall for the Abilene Paradox (link in comments) when groups choose to conform rather than speak up; leading to a decision that reflects the preferences of
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Master the art of data product creation with 10 key elements: Adaptable, Specialized, Discoverable & more! 🚀🌟
Read articleWhat I’m building, what broke, and what I’d do differently. Healthcare data products, decision infrastructure, and the messy middle of building alone.
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