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One of the most interesting decisions a founder makes while scaling a business is deciding when to stop managing operations personally and bring someone in to take ownership of them. In the early stages, operational informality can be an advantage. Everyone knows what needs to be done. Communication happens directly. Decisions are quick, responsibilities overlap, and the founder can solve…
After more than 15 years working across business analysis, technology implementation, and enterprise platforms, I have learned that founders rarely have a problem with technical debt itself. The real problem is not knowing where the debt exists, why it exists, or what it will eventually cost the business. Every startup accumulates technical debt. That is not automatically a failure. A…
For many founders, “requirements gathering” sounds like one of those formal enterprise processes that belongs in a conference room with spreadsheets, flowcharts, and long meetings. In a startup, where speed is everything, it can feel like a luxury. I understand that perspective. After more than 15 years working in business analysis, technology implementation, and platforms such as Salesforce, I have…
Over the past fifteen years, I’ve watched founders make the same decision about outsourcing their first engineering work, and I’ve seen it play out in remarkably consistent ways. The pattern is this: when a founder decides to outsource instead of building their first sprint in-house, what goes wrong is almost never about the agency or contractors themselves. What goes wrong…
I’ve watched this unfold dozens of times over the years, and it almost always plays out the same way. A founder decides the team needs new software. It’s a legitimate business decision. The tool is objectively better. The implementation seems straightforward. But within weeks, something unexpected happens: the team isn’t using it. Or they’re using it halfway. Or they’re actively…
Over the past fifteen years, I’ve watched a pattern emerge so consistently that I can almost predict it now: a founder gets serious about understanding their business, decides they need “better data,” and within six months they’re collecting information they’ll never actually use. Not because they’re careless. Because they’re thinking about the problem wrong. The worst part? This mistake costs…
I watched a founder last year spend four months building a mobile app. It had beautiful design, smooth animations, offline functionality, and a complex recommendation algorithm. When they launched, they had two users. Both were friends. Three weeks later, they realized their actual problem wasn’t the mobile experience. It was that they had no customers. The product worked perfectly. The…
I got a message from a founder last month asking for help. They’d spent forty thousand dollars on an AI automation platform, hired a consultant to set it up, and after three months they had exactly zero processes automated. They had dozens of workflows configured. None of them were running. I asked them what they automated first. They told me…
Over the past fifteen years, I’ve watched founders make one mistake so consistently that it’s become predictable. They copy the operational metrics from companies ten times their size, spend months building dashboards that look impressive, and then wonder why none of it tells them what’s actually happening in their business. I don’t mean they’re careless. They’re usually the opposite. Founders…
Over the past fifteen years, I’ve watched a pattern emerge so consistently that I can almost predict it now. A startup is moving fast, shipping features, gaining traction. Then somewhere around month six or eight, a customer asks: “How are you handling our data under CCPA?” Or a founder reads an article about GDPR and realizes they haven’t thought about…