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Building AI-enabled Solutions – Why a Human-Centered Lens is Key
1–2 minutesAfter more than two decades of living, studying, and writing about interdisciplinary collaboration, I believe that in this era of AI, collaboration is as important as ever. My goal is to provide practical advice instead of theoretical abstractions. I hope you’ll find it of value!
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Are We Measuring What Matters to Customers?
2–3 minutesThe metrics of long-term business health that investors pay attention to – customer retention rates, revenue growth / predictable cash flow, and customer lifetime value – are a reflection of success that you have helped your customer or patient achieve.
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From Vanity Metrics to Business Outcomes
3–5 minutesWithout understanding the business, it’s impossible to identify and drive meaningful change in its metrics. How do we hold ourselves accountable to the businesses we serve?
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Are You Getting the First 5% Right?
2–3 minutesHere’s what’s misunderstood: the real cost of building a product is in engineering. The design and definition phases – the first 5% of the overall effort – are about making sure that the build is headed in the right direction.
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Most Technical Projects Fail – But Not for the Reasons You Think
1–2 minutesMost technology projects fail—some estimates suggest that 68% never meet their objectives. Emerging research indicates that AI projects fare even worse, with failure rates of 70–85%. In fact, nearly half of AI proofs-of-concept are abandoned before reaching production. After decades of Agile, design thinking, and “fail fast” mindsets, why are outcomes still so poor?
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The Hiring Decision Founders Overlook
1–2 minutesWhy a Product Leader Is More Critical Than a Tech Co-Founder Late last year I had the opportunity to provide guidance to a femtech founder who wanted to build a platform. She had a compelling idea for patients, but the value of the solution would never be realized if physicians didn’t also engage. Unfortunately, the