Stefan Priebsch
Software Success Consultant
Software Success Consultant
Munich, Germany
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Stefan Priebsch is a Software Success Consultant, university lecturer, and keynote speaker who helps leaders turn software complexity into strategic clarity.
For more than 30 years, he has worked with companies of all sizes to show how software can become a predictable source of business value, and why that so often does not happen by accident. In his work, he repeatedly sees the same pattern: software initiatives rarely fail because of technology alone, but because strategic clarity is missing and architecture decisions are left implicit.
Stefan brings together deep technical experience, entrepreneurial thinking, and a clear, human way of communicating. His talks help business and technology leaders understand how architecture shapes business outcomes, why complexity becomes expensive when decisions are unclear, and what it takes to turn software into a strategic asset rather than a growing cost risk.
Audiences appreciate his clarity, his relevance, and his ability to make complex topics accessible without oversimplifying them.
Stefan Priebsch ist Software Success Consultant und Experte für strategische Softwarearchitektur. Seit über 30 Jahren berät er Unternehmen dabei, Technologieinvestitionen wirtschaftlich wirksam zu machen.
In seinen Vorträgen zeigt er, warum Softwareprojekte selten an Technologie scheitern, sondern an strategischer Unklarheit und impliziten Architekturentscheidungen. Mit klarer Sprache, fundierter Erfahrung und unternehmerischem Blick macht er sichtbar, wie Architektur zur strategischen Weichenstellung wird und wie Unternehmen Software vom Kostenfaktor zum planbaren Werttreiber entwickeln.
Seine Vorträge übersetzen technologische Komplexität in wirtschaftliche Konsequenzen und sind dabei verständlich, präzise und entscheidungsrelevant.
Area of Expertise
Topics
Democratic Architecture
In an increasingly diverse and fast-moving technological landscape, software architecture must evolve beyond rigid prescriptions to truly empower development teams. Democratic Architecture reframes architecture as a set of high-level quality goals and guiding principles, intentionally minimizing prescriptive implementation details. By doing so, it establishes a flexible architectural framework that respects team autonomy, domain expertise, and the realities of varied technical environments.
This approach fosters adaptable and resilient systems while cultivating collaborative development cultures in which architecture guides decision-making rather than enforcing it. By decoupling architectural intent from specific implementations, Democratic Architecture enables organizations to respond more effectively to changing requirements, emerging technologies, and shifting business priorities, ultimately improving long-term system sustainability and strategic alignment.
Domain-Driven Architecture
Architecture often emerges very early on as a result of technological decisions, such as the choice of frameworks, architectural styles, or deployment models. But what if we were to reverse this process? What if architecture were to emerge solely from the quality characteristics of a system and develop evolutionarily?
This presentation introduces Domain-Driven Architecture, a new, lightweight process model. It is inspired by Domain-Driven Design, and its principles are specifically applied to architectural decision-making processes. The focus is not only on modeling, but also on the conscious design of a long-lasting architecture with short-lived implementations that evolve based on specific thresholds. We learn how this works in practice using real project examples. This results in an architecture that enables targeted and controlled changes without being restricted at an early stage by technological specifications.
The lecture is aimed at anyone who wants to understand architecture as an evolutionary discipline - something that is consciously designed, continuously evaluated, and further developed as the domain and requirements constantly change.
Harvesting Ideas – A Collaborative Journey into Domain Design
How can we design a system that delivers ultra-fresh produce from local farms to customers without the need for central warehouses, unnecessary delays or wasteful detours?
In this interactive, hands-on workshop, we will collaboratively explore and model the innovative operations of Produce Paradise, a fictitious start-up that is reimagining the farm-to-table delivery experience.
Rather than following a single 'big name' method, we'll mix and match techniques such as Event Storming, Architectural Roleplay, Domain Storytelling, Example Mapping, and User Story Mapping, along with any approaches you bring from your own toolkit. Starting with real-world artefacts such as emails and business plans, we will uncover the story behind the business, understand its context and visualise how it operates. Together, we will map the logistics journey, identify key challenges and shape potential solutions using a blend of collaborative modelling practices.
This workshop is intended for software developers, product managers, domain experts and anyone tackling complex business problems. No prior experience with modelling techniques is necessary, just curiosity, creativity and a willingness to co-create.
Come harvest fresh ideas and grow sustainable solutions - together.
The Developing Salesman
Software developers are not just builders of features. We are creators whose work deserves to be understood, valued, and championed. Yet because software is largely invisible, communicating its impact is often harder than creating it. How, then, do we make the value of our work unmistakable?
In this session, Stefan Priebsch examines the often-neglected skill of conveying value in a world where technical excellence alone no longer guarantees recognition. Through candid insights, real-world stories, and practical communication techniques, this talk reframes selling not as manipulation but as translation: the art of turning technical achievements into outcomes that matter to customers, colleagues, and decision-makers.
Attendees will learn how to present their work in language that resonates with stakeholders, advocate effectively for their teams, and position themselves as trusted experts rather than invisible implementers. Whether you’re negotiating priorities, arguing for architectural investment, or promoting your next big idea, you’ll leave equipped with the confidence and tools to make your work seen, understood, and appreciated.
Architectural Roleplay: When Domain Modeling Gets Up and Walks Around
Architectural discussions often produce diagrams, documents, and long meetings, yet teams still struggle to develop a shared understanding of domain behavior, responsibilities, boundaries, and critical constraints. Critical assumptions remain implicit until they surface later as design conflicts, coordination problems, or costly rework.
This workshop introduces Architectural Roleplay, a collaborative modeling approach in which participants explore a domain by taking on roles within a concrete scenario.
Rather than describing a system only from the outside, they step into the interactions that shape it: who acts, who decides, what information is needed, where handovers occur, and which constraints influence the flow. By making these dynamics tangible, the workshop helps teams uncover hidden assumptions, conflicting responsibilities, missing decisions, and unclear boundaries early.
Participants will experience the technique hands-on in a guided exercise, then reflect on what became visible through enactment that would have remained abstract in a conventional modeling session. They will learn where Architectural Roleplay complements established domain-design and architecture practices, supports rapid domain exploration, knowledge transfer across disciplines, and the discovery of architectural constraints before design decisions harden.
You will leave with a practical facilitation approach, criteria for selecting suitable scenarios, and a clearer understanding of how experiential modeling can complement established architecture and Domain-Driven Design practices.
Collaborative Modeling for Better Architecture Decisions
Software architecture does not start with diagrams, technologies, or frameworks. It starts with understanding: What business problem are we solving? Which decisions have already been made implicitly? Where do responsibilities, handovers, constraints, and uncertainties shape the system long before a line of code is written?
This session shows how Collaborative Modeling helps teams turn scattered knowledge into shared architectural insight. Using complementary approaches such as Event Storming, Domain Storytelling, Example Mapping, User Story Mapping, and Architectural Roleplay, we explore how architects, developers, product stakeholders, and domain experts can jointly uncover business processes, surface assumptions, clarify requirements, reveal system boundaries, and create stronger foundations for modular, evolvable software.
The focus is not on producing the perfect model, but on improving decision-making. Models become temporary thinking tools that help people see the same problem, challenge hidden assumptions, and translate business intent into architectural structure.
Attendees will leave with practical ways to use Collaborative Modeling to turn complexity and ambiguity into clearer boundaries, stronger alignment, better decisions, and software architecture that creates measurable business value.
It Hurts Later: 5 Truths About Software Architecture
No one becomes a software architect because they enjoy drawing boxes. Yet many eventually find themselves between system diagrams, technology choices, stakeholder expectations and the hope that the consequences remain manageable.
In this talk, Stefan Priebsch shares five things someone should have told him before he entered software architecture. Not patterns, frameworks or perfect target architectures, but some of the uncomfortable truths behind architectural work: that architecture is always an economic decision, that some decisions are better delayed, that good architects distinguish between reversible and irreversible choices, and that the most important architectural questions are often not answered in the code.
Aimed at everyone who sees architecture as a means to better software, better decisions and better business outcomes, this talk draws on over 30 years of practical experience. Stefan shows why software architecture does not begin with complexity, but with decisions that have long-term impact.
AI Makes Code Cheaper. Architecture Makes It Valuable.
Generative AI changes the economics of software development. Code, tests, documentation, and refactorings can now be produced faster and at lower cost. But cheaper code does not automatically create better business outcomes. Without architectural discipline, AI-assisted development can increase delivery speed while also increasing inconsistency, maintainability risk, and long-term cost.
Architecture becomes the critical management tool in this new environment. It defines the boundaries, constraints, feedback mechanisms, and decision structures that allow teams to use AI productively without losing control.
This talk presents a practical model for combining AI coding assistants with architectural guardrails. Attendees will learn how to turn AI from a tool for producing more code into a lever for improving software delivery outcomes: clearer technical decisions, faster delivery of valuable change, lower maintenance risk, and stronger alignment between software investment and business value.
From Legacy to AI-Enhanced Delivery: A Modernization Playbook
Many applications that run businesses today are valuable, long-lived systems full of domain knowledge, customer workflows, and hard-won architectural decisions. Modernising them is not about replacing everything. It is about making them easier to understand, safer to change, and ready for future requirements while they remain in operation.
AI can support this work by helping teams explore unfamiliar code, identify dependencies, draft characterization tests, document behaviour, and prepare refactorings or migrations. But successful modernisation still depends on clear architectural intent, reliable feedback, and disciplined engineering practice.
This talk presents a practical modernisation playbook for teams. We will look at how to analyse existing systems, protect business-critical behaviour with tests, use static and dependency analysis, introduce changes in small reversible steps, and enforce architectural boundaries through CI.
Attendees will leave with a concrete model for using AI as an accelerator in legacy modernisation, improving delivery capability, reducing risk, and creating systems that are more adaptable, maintainable, and future-ready.
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