Start-Ups
Build the MVP That Actually MATTERS
Your first version should be embarrassingly simple. But strategically simple.
3 Problems A Geek Can Fix
Feature Creep
Your MVP has 47 features and you haven't shipped anything in 8 months.
Ruthless feature prioritization that identifies the ONE thing your MVP needs to prove. Everything else waits.
Over-Engineering
You're building enterprise-grade infrastructure for a product with zero users.
Right-sized architecture that works for 100 users today and can scale to 100,000 when the time comes.
No Validation
You're building in a vacuum with no customer feedback until launch day.
Rapid build-measure-learn cycles that get real user feedback every 2 weeks.
The biggest mistake start-ups make with their MVP is the M. Minimum doesn't mean bad. It doesn't mean ugly. It means the absolute smallest version of your product that can test your core hypothesis. If you're building an MVP with more than 3-5 core features, you're not building an MVP. You're building a product. And you're burning cash to build a product that might be based on wrong assumptions.
The statistics are damning: according to CB Insights, 42% of startups fail because there's no market need for their product. They built something nobody wanted. An MVP done right prevents this by testing your core assumption before you invest six figures in development. Jeff Cline's PROFIT AT SCALE methodology applies to MVP development with surgical precision—build the minimum necessary to validate, measure ruthlessly, then scale what works.
The MVPs Jeff Cline helps design are strategic instruments, not quick-and-dirty prototypes. Each one is built to test one critical assumption, deliver one clear value proposition, and generate enough data to make your next decision with confidence. The typical MVP engagement produces a functional product in 6-8 weeks at 60-70% less cost than what most startups spend on their first version.
Here's what separates a strategic MVP from a wasteful one: clarity of hypothesis. Before writing a single line of code, we define exactly what assumption the MVP is testing, what metric will validate or invalidate it, and what the next decision will be based on the results. This discipline prevents the feature creep that kills most MVPs. When a founder says 'but we also need...' we ask 'does it test the core hypothesis?' If not, it waits.
The technology choices at the MVP stage matter more than most founders realize. Over-engineering is expensive and slow, but under-engineering creates a foundation you'll have to tear down later. Jeff Cline's approach selects the right-sized technology for each stage: tools and platforms that work for your first 100 users today and can evolve to serve 100,000 when product-market fit is proven. This eliminates the costly rewrites that plague startups that chose their tech stack based on what their first developer knew.
The Increase/Decrease framework guides MVP strategy. We INCREASE your Scalable Demand Engine by building MVPs with built-in measurement—analytics, user feedback loops, and conversion tracking from day one. We create Efficient Sales Teams by ensuring the MVP demonstrates clear value that sales conversations can anchor to. We protect IP Value and Exit Multiples by making smart architectural choices early that become the foundation of defensible technology.
On the DECREASE side, we reduce Cost by building only what needs to be built—typically saving startups $100-300K compared to their original development plans. We reduce Risk by validating assumptions before committing major resources. And we reduce Operational Strain by creating a clear, focused scope that your development team can execute without scope creep chaos.
How It Works: The engagement begins with a Hypothesis Workshop—a structured session where we distill your vision into a testable hypothesis and define success criteria. From there, we create the MVP Blueprint: feature scope, user flows, technology selection, and a development timeline. Development follows 2-week sprints with user testing at the end of each sprint. By week 6-8, you have a live MVP generating real user data. If you're also thinking about startup tech architecture or fundraising, a well-executed MVP becomes your strongest asset for both—proving you can execute and giving investors data instead of promises.
Frequently Asked Questions
How much should an MVP cost to build?
A well-scoped MVP typically costs $20-80K depending on complexity. If someone is quoting you $200K+ for an MVP, you're building a product, not an MVP. Jeff Cline's methodology reduces MVP costs by 60-70% compared to typical startup development through ruthless scope discipline and right-sized technology selection.
How long does it take to build an MVP?
A properly scoped MVP should take 6-8 weeks to build. If it's taking longer than 12 weeks, scope creep has set in. Jeff Cline's Hypothesis Workshop and MVP Blueprint create the discipline to deliver a functional, testable product within this timeline.
What features should my MVP include?
Only the features necessary to test your core hypothesis—typically 3-5 at most. Ask yourself: 'What is the one thing this product must do to prove someone will pay for it?' Build that, measure the response, and iterate. Everything else is a distraction at the MVP stage.
Should my MVP be ugly or polished?
Your MVP should be polished enough that poor design doesn't confuse your test results. Users should be able to understand and use it without frustration. But it doesn't need to be beautiful—it needs to be functional and measurable. Focus investment on core functionality and measurement, not visual perfection.
How do I know when my MVP has validated my idea?
Define success criteria before launch: specific metrics like sign-up conversion rate, activation rate, retention rate, or willingness to pay. Jeff Cline helps define these criteria during the Hypothesis Workshop. When your MVP hits these thresholds, you have validation. When it doesn't, you have invaluable data for your next iteration.
Design an MVP that validates. Not one that wastes.
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