How to Turn a Need into Product Requirements
Technical decisions become useful when they are connected to requirements, evidence and the intended manufacturing context.
The problem
Statements such as “easy to use”, “robust” or “affordable” are useful intentions but cannot directly guide design decisions or testing. They need to become observable requirements.
Context and analysis
Requirements connect users and context with function, ergonomics, dimensions, interfaces, materials, environment, maintenance, regulation, quantity and manufacturing constraints. They should distinguish mandatory conditions from preferences.
Questions to resolve
- What requirement or risk drives the decision?
- Which variables must be represented?
- What evidence is sufficient for the next stage?
- Which assumptions remain open?
Alternatives
Compare more than one route whenever the decision affects architecture, process or investment. A lower-detail test, standard component or staged launch may provide better evidence before committing to a final configuration.
How Órbita approaches it
Research the situation, describe use scenarios, identify stakeholders, translate needs into measurable criteria, expose conflicts, prioritise them and define how each critical point will be verified.
Educational example
Educational example, not a client case. A request for a “compact mobile workstation” becomes limits for folded size, working height, load, setup time, transport route and maintenance access. These criteria allow alternatives to be compared before detailed modelling.
Result of the analysis
The result is a documented decision and a clearer next step. Depending on the evidence, that step may be to advance, modify, simplify, divide the project into stages, change process or discard an alternative.
FAQ
Does this analysis guarantee manufacturing success?
No. It reduces uncertainty for a defined decision; later stages still require appropriate tests, supplier validation and documentation.
When should suppliers participate?
When process capability, quantities, tooling, lead time or components materially affect the decision.
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