Frequently Asked Questions

I focus on projects at the intersection of technology and business strategy, particularly those requiring both technical depth and strategic thinking. This includes building new digital products from concept through launch, optimizing existing systems for performance or cost, designing technical architectures for scale, and advising leadership teams on technology decisions. My sweet spot is projects in the $50,000 to $500,000 range that span 3-9 months, though I've worked on both smaller focused engagements and larger multi-year initiatives. I'm particularly interested in situations where the problem is complex but not fully defined, requiring discovery and strategic thinking alongside execution.

My pricing structure depends on the engagement type. For consulting and advisory work, I typically charge $250-350 per hour depending on project complexity and duration. For project-based work, I prefer fixed-price agreements based on clearly defined scope and deliverables, which provides budget certainty for clients. These projects typically range from $35,000 for a focused 4-week engagement to $400,000+ for comprehensive initiatives. I also offer retainer arrangements for ongoing advisory relationships, typically $8,000-15,000 per month for 15-25 hours of availability. I don't work on pure equity arrangements for early-stage startups, though I'm open to hybrid models combining cash and equity for the right opportunities.

My deepest experience is in financial technology, e-commerce, and SaaS businesses, where I've worked on 20+ projects over the past decade. I've built payment systems, fraud detection tools, marketplace platforms, and subscription management systems. I also have substantial experience in healthcare technology, particularly telemedicine and health data platforms, where I understand the regulatory requirements around HIPAA and patient privacy. My logistics and supply chain work has primarily been with mid-sized manufacturers and distributors managing complex inventory across multiple locations. While I can adapt to new industries, I'm most effective when I can leverage existing domain knowledge to accelerate project timelines and avoid common pitfalls.

I work both ways depending on project needs. For strategy consulting, technical architecture design, and advisory work, I typically work independently or with small client teams. For larger implementation projects, I bring in specialized contractors from my network—frontend developers, designers, data engineers, or other specialists as needed. I've built relationships with 15-20 highly skilled professionals I trust and have worked with repeatedly. This model provides flexibility and cost efficiency compared to a traditional agency while ensuring access to deep expertise in specific domains. I handle project management, client communication, and overall delivery accountability while coordinating the extended team.

I invest heavily in upfront learning and discovery. This means reading industry reports, analyzing competitor products, interviewing domain experts, and immersing myself in the specific context before proposing solutions. I typically spend 20-30 hours on independent research during the first two weeks of a new engagement in an unfamiliar space. I also leverage frameworks and methodologies that transfer across industries—user research techniques, technical architecture patterns, project management approaches—while remaining humble about what I don't know. I ask lots of questions and validate assumptions frequently. According to Stanford research, domain experts can sometimes miss innovative solutions because they're too close to existing paradigms, so an informed outsider perspective can add unique value.

Most projects follow a 3-6 month timeline, though this varies considerably based on scope and complexity. A typical engagement starts with a 2-3 week discovery phase where I conduct research, stakeholder interviews, and analysis to fully understand the problem and context. Then 1-2 weeks for strategy development and solution design, producing detailed specifications and project plans. The core execution phase usually runs 8-16 weeks, with regular check-ins and iterations based on feedback and testing. Finally, 1-2 weeks for launch preparation, deployment, and knowledge transfer. Smaller focused engagements might compress this into 4-6 weeks total, while larger initiatives can extend to 9-12 months with multiple phases and workstreams running in parallel.