Build with evidence. Scale with confidence.
Practical tools and frameworks that help STEM founders validate demand, design for ARR, and scale with confidence.
Outcomes Over Activities
Every founder faces three pivotal transitions. Each builds the muscle for repeatable, investor-ready growth.
Assumptions → Proof
Move from intuition to evidence. Our Product Research Lab Book helps founders run short, focused sprints that surface what works, expose what doesn’t, and provide data-driven confidence to pivot fast.
Pilot → Revenue
Design pilots that convert into paying customers. We translate early technical success into recurring revenue by aligning pilots with business outcomes and structuring the right monetization model for your stage.
Feedback → Compounding Growth
Turn every customer touchpoint into insight. Build a feedback engine that channels user data into feature prioritization, product strategy, and retention—creating a continuous loop of customer-driven growth.
Who We Help
Ways to Engage
Three ways to work together — designed to meet you where you are in your commercialization journey.
Free Masterclass or Readiness Assessment
Get a quick diagnostic of your commercialization readiness. Identify the gaps that hold back traction and learn how to prioritize validation, positioning, and revenue design in a lean, evidence-based way.
90-Day Project — I Lead Execution
This hands-on sprint is for teams ready to turn exploration into validation. Choose one: validate a new product or feature—testing demand, refining positioning, and landing the first paying customers—or optimize existing offerings to uncover recurring revenue from current clients or service lines.
Advisory — You Lead, I Guide
Your team runs the process; I keep you on track. Weekly or biweekly sessions to interpret customer feedback, refine offers, and keep the roadmap anchored in measurable traction and investor-ready logic.
About Christine
Christine Johnson is a two-time startup leader who builds commercialization systems that turn complex technology into measurable traction.
At a cloud computing startup, she helped lead the company to a successful exit, shifting from 20 percent to 80 percent recurring revenue and scaling to 10M ARR by developing strategic packaging and new revenue streams from existing services. That experience shaped her approach to building lean, data-informed go-to-market playbooks that maximize existing assets before costly expansion.
As CEO of a deep-tech quantum machine learning company, she created early revenue streams to sustain R&D and keep external funding low. This hands-on experience with lean scaling, rapid iteration, and pivot discipline grounds her approach: validate fast, fail smarter, and optimize limited resources for maximum impact. Christine bridges scientific rigor with commercial clarity so founders can move from proof to product, and from product to predictable growth.
