Boosted
LEANSTUDIO
Technology & Software, Training & Development
OnlineLEANSTUDIO, founded by Ryan MacCarrigan, is a product innovation and training consultancy that helps product teams and leaders make better decisions, test ideas faster, and reduce uncertainty. We typically work at the intersection of product management and innovation management, helping teams adopt evidence-based practices rooted in Lean methodologies, rapid experimentation, and real-world customer validation. Our consulting and training programs combine practical strategy, product leadership development, and AI-assisted tools for research, data analysis, synthesis, prototyping, market testing, experimentation, and workflow automation. The goal is to help teams work with more clarity, speed, and judgment as they build new products and services. Ryan MacCarrigan has spent nearly 15 years leading product, growth, and innovation work with startups, corporations, and accelerators, including engagements with SanDisk, Disney, Strava, TikTok, Lowe’s, Panera, CBRE, Northwestern Mutual, and many others. Recently, his work has become more focused on driving AI adoption within Fortune500 companies undergoing product-led transformation. Ryan teaches Design Thinking and Prototyping at UC Berkeley, leads community-centered work through the nonprofit Queer LifeSpace, and is helping build the next LGBTQ-inclusive hospitality brand through The Charles Hotels. Across Ryan’s work, he focuses on practical, evidence-driven strategy, team empowerment through servant leadership, and designing scalable systems that create lasting impact.
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Featured Items
Practical AI for Product Teams
Hands-on training and advisory for product managers, designers, researchers, and business teams that want to use AI with more confidence, discipline, and strategic judgment. This program moves teams beyond generic prompting into practical product use cases, including research synthesis, customer insight generation, product briefs, roadmap analysis, prototyping, documentation, and decision support. The goal is to help teams learn faster, think more clearly, and use AI as a force multiplier for better product decisions.
Product Management Foundations & Team Upskilling
Structured training for product teams that need a stronger shared operating model for modern product management. The program covers product lifecycle thinking, goal alignment, discovery, roadmapping, experimentation, metrics, stakeholder management, and the role of AI in everyday product work. It is built for companies that are scaling, professionalizing their product practice, or helping cross-functional teams work with more consistency, clarity, and strategic maturity.
Lean Methodologies, MVP & Experiment Design
Practical consulting and workshops for startups, innovation teams, and product teams that need to test risky assumptions before overbuilding. Teams learn how to identify their biggest customer, business, and feasibility risks, then design staged experiments, landing page tests, prototypes, MVPs, and customer validation plans. The core value is simple: reduce wasted development time, make uncertainty visible, and learn what customers actually value before committing major resources.
Customer Discovery, Design Thinking, & Iterative Prototyping with AI
Workshops and project-based support for teams that need to better understand users, define the right problem, generate stronger ideas, and test concepts quickly. This offer includes customer interviews, observation, synthesis, persona creation, structured ideation, rapid prototyping, concept testing, and iterative design. It is especially useful for teams working on new services, internal tools, early-stage products, or ambiguous customer problems where the right path forward is not yet obvious.
Communication, Stakeholder Alignment & Product Leadership
Leadership training and facilitation for product managers, product leads, and cross-functional teams that need better alignment, stronger decision-making, and more trust across functions. Teams learn how to map stakeholders, build communication systems, surface risks, structure decisions, and create mutual commitment without chasing false consensus. The deeper goal is to increase the wisdom of the team: helping people slow down enough to see the system clearly, name the real risks, and make better choices together.
Corporate Innovation Systems & Portfolio Strategy in the Age of AI
Advisory and facilitation for organizations that want to build repeatable innovation capability, not isolated innovation theater. This work focuses on innovation governance, portfolio management, experimentation culture, innovation metrics, ecosystem design, and business model testing — through the lens of how AI is rapidly shifting innovation management. It helps organizations create practical systems for evaluating new opportunities, reducing uncertainty, and moving promising ideas toward measurable business impact.