📰 Dev.to · David Ohnstad
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Dev.to · David Ohnstad
3d ago
Coaching Managers: When Questions Hurt Team Performance
David Ohnstad reveals why excessive coaching questions undermine manager effectiveness. Learn when directive leadership beats Socratic method for better re

Dev.to · David Ohnstad
3d ago
Enterprise AI Agent Costs: 4 Budget Myths Explained
David Ohnstad reveals why enterprise AI agents exceed budgets. Learn 4 costly myths about implementation, API usage, and infrastructure that drain Q2 spend

Dev.to · David Ohnstad
3d ago
Federated Data Architectures: Accountability Without Authority
David Ohnstad explains why federated data architectures create accountability gaps for PMs. Learn how schema enforcement and governance prevent revenue att

Dev.to · David Ohnstad
3d ago
Great Managers Don't Need to Be Great Coaches
David Ohnstad debunks the myth that managers must be coaches. Discover when directive leadership works better than coaching questions for your team.

Dev.to · David Ohnstad
3d ago
Federated Data Architectures: Why PMs Fail
David Ohnstad reveals why data product managers struggle in federated architectures. Learn how organizational design undermines governance and trust in dec

Dev.to · David Ohnstad
1w ago
Mid-Year Reviews: Beyond Performance Metrics
David Ohnstad challenges the myth that mid-year reviews should focus only on metrics. Discover how to transform performance conversations into meaningful d

Dev.to · David Ohnstad
1w ago
AI Vendor Risk Assessment: Why We Shut It Down
David Ohnstad on why a 14-month AI vendor risk system was deprecated. Learn what went wrong and when AI solutions miss the mark in enterprise compliance.

Dev.to · David Ohnstad
1w ago
Mid-Year Performance Reviews: When Good Intentions Go Wrong
David Ohnstad reveals why prepared performance reviews often fail. Learn how to shift from scripted feedback to genuine dialogue that develops your team.

Dev.to · David Ohnstad
1w ago
Why AI Models Fail in Enterprise: The 89% Problem
David Ohnstad explains why enterprise AI projects stall after launch. Learn how to move beyond low adoption rates and build AI your teams actually use.

Dev.to · David Ohnstad
1w ago
Data Product Reviews: Why They Fail Before Starting
David Ohnstad explains why mid-year data product reviews collapse when teams can't answer critical questions. Learn how to fix broken review processes.

Dev.to · David Ohnstad
1w ago
Rotational Programs: Why They're Career Accelerators, Not Setbacks
David Ohnstad explains why internal rotations feel like limbo but accelerate leadership growth. Discover how strategic moves unlock cross-functional visibi

Dev.to · David Ohnstad
1w ago
Why Enterprise AI Pilots Fail: From PoC to Production
David Ohnstad explores why enterprise AI pilots stall in PoC phase. Discover the workflow integration gaps that derail even accurate ML models from user ad

Dev.to · David Ohnstad
1w ago
Career Pivots: When to Stay and When to Leave
David Ohnstad shares the pivotal moment he almost quit—and the leadership opportunity that changed his trajectory. Learn when a rotation or mentor interven

Dev.to · David Ohnstad
1w ago
Enterprise AI Budget Waste: Three Costly Mistakes
David Ohnstad reveals why enterprise AI projects fail to deliver ROI. Learn three common budget traps and how to avoid wasting resources on unused ML featu

Dev.to · David Ohnstad
1w ago
Data Product Manager Reporting Structure: Where It Matters
David Ohnstad explores where data product managers should report in AI-ready organizations. Discover why org structure impacts team success and product out

Dev.to · David Ohnstad
2w ago
Executive Presence at Tech Conferences: Maximize Career ROI
David Ohnstad reveals how to build executive presence at tech conferences and turn attendance into real career outcomes. Learn the three-phase framework th

Dev.to · David Ohnstad
2w ago
Data Product Management Strategy: Building for Impact
David Ohnstad explores critical gaps in data product strategy and how leading organizations close them. Learn frameworks for sustainable competitive advant

Dev.to · David Ohnstad
2w ago
Building Cross-Platform Digital Products: Challenges and Best Practices
Building cross-platform digital products requires a strategic balance of technology selection, user experience optimization, performance tuning, and securi

Dev.to · David Ohnstad
2w ago
Data Privacy in the Age of AI: How Product Teams Can Build Trust with Users
As AI becomes more embedded in everyday products and services, concerns about data privacy and security have intensified.

Dev.to · David Ohnstad
📊 Data Analytics & Business Intelligence
⚡ AI Lesson
3w ago
Data Product Team Structure: Centralized vs. Distributed
David Ohnstad debunks the myth that centralized data teams build better products. Discover why distributed ownership and federated models often outperform
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