In my experience, there are several layers of prototype testing. Of course that depends on the prototype complexity, development cost, industry standards, and generally: resources. In the first stage, it is helpful to have a quick simulation analysis, to check the viability of the concept. If this is not feasible/applicable, call in a “Concept Review Meeting” and let stakeholders analyze and criticize the concept. Assuming that part is completed satisfactorily and you start developing the CAD model, the SW may have analyzing capabilities, that I would use to verify my thinking. When the prototype is completed, have a testing meeting with your peers, where they test the end product. At this phase, the bugs were all worked out.

Creo que haya que dar el paso para saberlo si funcionará ...,....................................................... ..........................................................

Document Everything: Keep detailed records of results to identify trends and make informed decisions for future iterations.

Das Testen eines Prototyps mit einem engen Budget kann eine echte Herausforderung sein, aber es ist auch eine Chance, kreative Lösungen zu finden. In solchen Situationen ist es entscheidend, sich auf die wesentlichen Funktionen zu konzentrieren und Prioritäten zu setzen. • Welche Tests liefern die wichtigsten Erkenntnisse? • Gibt es kostengünstige Alternativen zu teuren Testmethoden? • Können bestehende Ressourcen oder Tools neu genutzt werden? Ein klarer Plan und eine gezielte Herangehensweise helfen nicht nur, Kosten zu sparen, sondern auch die Effizienz des gesamten Prozesses zu steigern. Einschränkungen können eine wertvolle Quelle für Innovation sein! Wie gehst du mit solchen Herausforderungen um?

Prioritize essential features and functions to test, focusing on the most critical aspects of the prototype to minimize costs while ensuring core performance is validated. Ensure redundancy doesn't occur. Use low-cost, in-house resources or existing tools for data collection, leveraging simulations or simple testing methods instead of expensive equipment or services where ever possible. Analyze results using a systematic approach, ensuring that the data collected is consistent and reliable by minimizing variables and focusing on reproducibility.