https://davidohnstad.com/ Senior Data Product Manager | AI, SaaS & Data Strategy | Duluth, MN Mon, 26 Oct 2026 15:37:18 +0000 hourly 1 https://wordpress.org/?v=7.1.3 https://davidohnstad.com/complete-guide-data-product-management/#comment-997 Mon, 26 Oct 2026 15:35:45 +0000 https://davidohnstad.com/?p=560#comment-997 […] For more on this topic, see data product management. […]

]]> https://davidohnstad.com/data-product-roi-why-70-percent-ai-initiatives-fail/#comment-975 Mon, 19 Oct 2026 15:58:31 +0000 https://davidohnstad.com/?p=602#comment-975 […] For deeper insight into identifying and removing low-impact analytical assets, see our analysis on Data Product Management and capital […]

]]> https://davidohnstad.com/complete-guide-data-product-management/#comment-966 Sun, 18 Oct 2026 07:47:23 +0000 https://davidohnstad.com/?p=560#comment-966 […] shift from reactive reporting to deterministic asset management, an evolution documented within Data Product Management […]

]]> https://davidohnstad.com/data-product-manager-salary-gap-compensation/#comment-945 Mon, 12 Oct 2026 17:58:12 +0000 https://davidohnstad.com/?p=447#comment-945 […] For more on this topic, see Data Product Manager Salary Gap: Why and How to Fix It. […]

]]> https://davidohnstad.com/data-product-execution-frameworks-fail/#comment-944 Mon, 12 Oct 2026 17:51:06 +0000 https://davidohnstad.com/?p=308#comment-944 […] The breakthrough for me came when I stopped viewing uncertainty as a problem to eliminate and started viewing it as a parameter to manage. You’re not trying to achieve perfect certainty—that’s impossible. You’re trying to reduce uncertainty to a level where the decision becomes rational and defensible. For more on this, see why frameworks fail in practice. […]

]]> https://davidohnstad.com/data-driven-product-development-balancing-customer-feedback-with-market-research/#comment-943 Mon, 12 Oct 2026 17:50:38 +0000 https://davidohnstad.com/data-driven-product-development-balancing-customer-feedback-with-market-research/#comment-943 […] The trap is seductive because it feels productive. It *is* productive work. The analysis is sound. The research is genuine. But it’s not solving the core problem: you’re still uncertain, and the goal posts have just moved further away. For more on this, see balancing customer feedback with market research. […]

]]> https://davidohnstad.com/data-product-management-analytics-failure/#comment-942 Mon, 12 Oct 2026 17:50:14 +0000 https://davidohnstad.com/?p=309#comment-942 […] Early in my career, I tried to escape this. I’d commission more analyses, request additional data pulls, schedule another round of stakeholder interviews. I thought that with one more cycle of investigation, I’d reach some threshold of certainty where the “right” answer would become obvious. This is a common trap, and I see it destroy more product timelines than I care to admit. For more on this, see why most analytics initiatives fail. […]

]]> https://davidohnstad.com/data-product-manager-reporting-structure/#comment-941 Mon, 12 Oct 2026 17:49:49 +0000 https://davidohnstad.com/?p=153#comment-941 […] Your location choice locks in your first 12-18 months. Choose wisely, because moving camp is expensive. For more on this, see establish the right reporting structure. […]

]]> https://davidohnstad.com/data-product-execution-frameworks-fail/#comment-940 Mon, 12 Oct 2026 17:49:26 +0000 https://davidohnstad.com/?p=308#comment-940 […] Talk to at least five potential stakeholders before making your choice. Look for consensus around priority, not just enthusiasm. If different executives have conflicting visions for what data should solve first, that’s a red flag—you’ll spend your energy managing politics instead of building products. For more on this, see why frameworks fail in practice. […]

]]> https://davidohnstad.com/data-product-management-analytics-failure/#comment-939 Mon, 12 Oct 2026 17:48:44 +0000 https://davidohnstad.com/?p=309#comment-939 […] I’ve seen organizations pick data domains that are sexy but strategically wrong. Marketing analytics sounds great until you realize the CMO is leaving in three months. Data governance seems important until you find out there’s no executive sponsor willing to enforce standards. For more on this, see why analytics projects fail. […]

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