How rapid prototyping is changing the game from vision to virtual
Rapid prototyping is a mindset that fuels innovation, sparks collaboration, and brings clarity to complexity.
Michael Hoehn, Computational Community Lead in 海角视频鈥檚 central computational team, is helping redefine how multidisciplinary teams approach design challenges. His work blends computational precision with human-centered engagement, creating a framework that鈥檚 as inclusive as it is intelligent. From stakeholder workshops to immersive game engine environments, Hoehn鈥檚 approach ensures every voice is heard and every idea is grounded in measurable impact.
In this conversation, we explore how rapid prototyping is transforming project delivery – from aligning goals with outcomes to solving complex problems like environmental impacts and workplace productivity. We look at how tools like and are enhancing collaboration, and how the future of design will be shaped by data-rich environments, AI integration, and a commitment to making innovation accessible to all.
Q: How do you define rapid prototyping in the context of 海角视频鈥檚 work? How does it differ from traditional processes?
Michael Hoehn: Rapid prototyping is about working closely with clients to define what matters most to them. We then use computational tools to build custom workflows that generate and analyze design options based on those priorities. Each application is tailored to the unique needs of the project.
What sets it apart is how it helps us not only document goals clearly but also solve complex problems – like improving workplace productivity, designing for comfort and happiness, or evaluating environmental feasibility. It allows us to assess impacts holistically.
And importantly, we present results in ways that are engaging and accessible to all stakeholders. This encourages participation and critical thinking early in the design process – a major shift from traditional approaches.
Q: Walk us through how you’ve used rapid prototyping to align project goals with measurable outcomes, especially in multidisciplinary teams.
Hoehn: Because rapid prototyping is inherently collaborative, we always start with a client engagement workshop. This helps us define and document goals – some that align with our existing focus areas, and others that are entirely bespoke to the client.
Common themes include constructability, environmental impact, cost, and timeline. Clients want to know: How much will this cost? How long will it take to build? What鈥檚 the environmental impact? These questions are often tied to compliance and broader industry impact.
Answering them requires a coordinated multidisciplinary approach. You can鈥檛 solve complex challenges from a single perspective. Collaboration is essential – and that鈥檚 exactly how we apply rapid prototyping.
Q: What are some of the most impactful case studies you’ve led, and how did rapid prototyping influence the project’s success?
Hoehn: One standout example is our recent work with the Battersea project team – a client we鈥檝e partnered with for over a decade. In the latest phase, they challenged us to bring something new to the table.
We responded by creating a custom environment tailored to their site constraints and regulatory requirements. The result was something genuinely fresh – something they hadn鈥檛 seen before and could get excited about.
What made it successful was the inclusive design process. We invited them to participate, encouraged curiosity, and welcomed questions. Their input shaped the models, and the outcome was a secured proposal for the next phase. They left energized and eager to continue the partnership.
Q: How does the use of game engines enhance the experience of rapid prototyping? And what roles does BHoM play in that process?
Hoehn: We use Epic Games鈥� Unreal Engine to explore the outputs of rapid prototyping, which are often data-heavy – charts, models, metrics. The game engine helps us present that data in a curated, immersive experience.
With Unreal Engine, clients can view their model in context, explore different design variations, and see performance metrics overlaid in a heads-up display (HUD). This allows them to interact with and understand the design in a more intuitive and engaging way. We see this as the next frontier: using game engines to understand spatial quality in the digital world.
BHoM is absolutely critical to this process. It鈥檚 the foundation of rapid prototyping. Without it, we couldn鈥檛 scale or maintain the framework across our practice. BHoM allows us to define workflows, automate processes, and integrate discipline contributions from across the organization – making our approach truly multidisciplinary.
Q: Stakeholder experience is often overlooked. How does our approach to rapid prototyping ensure their voices are heard and integrated?
Hoehn: Stakeholder engagement is the first step in our process – and it鈥檚 essential. We facilitate workshops where everyone has a seat at the table and that their input is heard and accounted for. The environment is intentionally low-tech to make it comfortable and accessible.
These sessions are typically led by someone the client knows and trusts, which fosters openness. We ask thought-provoking questions to draw out key ideas, and stakeholders can include anyone with a vested interest鈥攏ot just developers or building teams.
This process sets the tone for collaboration and ensures the project is shaped by diverse perspectives from the very beginning.
Q: How do you see rapid prototyping evolving in the next few years, especially as we move toward more immersive and data-rich design environments?
Hoehn: Rapid prototyping is evolving in exciting ways. As our library of multidisciplinary code grows, so does our sophistication – making it easier to apply across a wider range of projects.
We鈥檙e also pushing the boundaries of game engine technology to streamline immersive environments. These tools help present complex data in intuitive ways, enhancing stakeholder understanding.
With AI becoming more integrated, we鈥檙e exploring its use in generating scripts and synthesizing study outputs. Each project generates vast data, and AI helps us extract insights and present results more clearly.
Looking ahead, we want to improve engagement across the entire practice – making rapid prototyping more seamless, inclusive, and scalable.
Q: What advice would you give to teams looking to adopt rapid prototyping as a standard part of their workflow?
Hoehn: Be ready to collaborate – that鈥檚 the bottom line. Share knowledge, work within shared environments, and contribute openly. It鈥檚 the same philosophy we apply with BHoM.
Also, be open to working in new ways. Computational tools may require learning new skills, but we鈥檙e actively lowering technical barriers so everyone can engage meaningfully.
Ultimately, each discipline must be willing to collaborate and communicate. That鈥檚 what makes rapid prototyping a truly holistic and impactful experience.
