Dominik Lardon
Business Engineer for Process Design and Digital Solutions
A solution is only as effective as the understanding of the underlying problem.
Before developing a solution, I clarify assumptions, conflicting objectives, and interdependencies. Robust decisions emerge when relationships are understood and potential consequences are considered early in the process.
Effective concepts are not defined by complexity, but by consistency, clear reasoning, and real impact in everyday operations.
Establishing structure in unclear situations and conflicting objectives
Developing solutions that are consistent, feasible, and effective in everyday operations
Ensuring a clear distinction between assumptions, concepts, and implementation to support robust decision-making
Communicating complex topics clearly and appropriately
Anticipating economic implications early rather than deferring them to implementation
Professional Background and Experience
From Industrial Practice to Systematic Analysis of Operational Interdependencies
My professional path began in industrial practice. Over several years in electronics manufacturing and testing, I gained expertise not only in building and testing technical systems, but also in understanding how production processes operate in day-to-day operations and where formal procedures diverge from operational reality.
In parallel, I completed my Bachelor’s degree in Business Engineering at ZHAW, specialising in Data and Service Engineering. During this time, my focus shifted from technical execution towards the systematic analysis and design of operational contexts.
The following experiences were particularly formative for my current approach:
Consulting project for an industrial partner, from analysis and concept to prototype and business case
Development of a data-driven replenishment concept for the inventory management of a pharmacy chain
Automation of production order and workforce planning in a metal-processing SME
This combination of practical experience and methodological training enables me to analyse operational challenges holistically and develop solutions that can be sustainably implemented in everyday operations.
Working Methodology
My working methodology is designed to quickly familiarise myself with new and ambiguous contexts and to establish clarity independently. It serves as a pragmatic framework that can be adapted to the specific role, environment, and urgency, creating transparency in approach and decision-making.
Focus on Core Operational Processes
Identification of processes that have the greatest impact on performance, quality, and costs.Initial Assessment of Process Performance
Initial assessment of core and supporting processes based on available metrics, interviews, and existing documentation.In-depth Analysis of Relevant Processes
Top-down analysis to define a target state that is professionally accepted and operationally viable.Data-driven Identification of Weaknesses
Targeted collection and analysis of critical process milestones to identify bottlenecks, compliance deviations, and structural weaknesses.
My Values
My values are reflected less in mission statements and more in concrete decisions. In projects, I ensure that solutions are economically viable, supported by the people involved, and sustainable in the long term. The following three principles guide my decisions and prioritisation.
Profit – Economic Viability
Sustainable solutions must be economically viable. I place emphasis on concepts that are not only technically sound but also demonstrate clear economic value. Investments, process changes, or new systems should be transparently justified, measurably effective, and sustainable over the long term.
People – Acceptance and Feasibility
Processes are only effective when they are embraced by people. I consider early on how changes affect employees, roles, and working methods. For me, acceptance is not achieved through directives, but through clarity, involvement, and realistic expectations.
Planet – Responsibility and Long-term Viability
Technical and organisational decisions have long-term implications. Where relevant, I integrate ecological and resource-related considerations and avoid solutions that deliver short-term efficiency gains but create new dependencies or problems in the long run.
Professional Focus Areas and Interests
My professional interests lie where analytical methods generate tangible operational impact. What matters most is not the industry itself, but the quality of the solution and its measurable effect within the organisation. I am particularly interested in challenges where robust concepts, derived from data, processes, and user needs, are developed and prove effective in everyday operations.
Data-driven Decision Support to reduce complexity and derive well-founded measures
Optimisation and Automation of Operational Processes with measurable added value
User-centred Design of Processes and Services, with a focus on impact, acceptance, and practical applicability
Deployment of Data-driven Models and AI as an integral component of robust concepts and systems
If you are working on topics where processes need improvement, decisions require solid justification, and organisational impact should become visible, I welcome an exchange.