Product Specification
Setting the right specifications for your product is anything but trivial. Translating customer needs into clearly defined, testable quality requirements is one of the hardest and at the same time most important tasks at the start of product development.
Book your R&D call or send us a messageWhat we do
Vague, unreliable requirements cause problems throughout the whole development. We make sure your specifications are right from the start: soundly derived and consistent with each other.
- Turn customer needs and intended use into concrete requirements.
- Set measurable, verifiable quality targets.
- Keep every requirement traceable, from need to test.
- Account for regulatory requirements where they apply.
How we work
We derive your specifications from data, drawing on a range of analysis and AI methods, among them:
- AI-supported market, competitor and product analyses.
- Consolidated overviews of the applicable regulatory requirements.
- Digital twins of your product, to test how different specification scenarios affect overall quality.
What you get
- Clear, soundly derived and verifiable specifications.
- End-to-end traceability from customer need to requirement.
- A solid basis for development and validation.
Frequently asked questions about product specification
What is a product specification, and why does it matter so much?
A product specification translates customer needs and intended use into clearly defined, testable quality requirements. It is one of the hardest and most decisive tasks at the start of development: mistakes or gaps here run through the whole project and get expensive later. A good specification is what makes later development, validation and approval plannable.
How does AI help derive specifications?
We derive specifications from data. Large language models help capture, structure and check requirements from market, competitor and product analyses and from existing documents, and surface gaps or contradictions early. That turns scattered wishes into clearly worded, testable requirements rather than vague goals.
What role do digital twins play in specification?
A digital twin represents your product virtually and lets us play through specification scenarios before anything is built. That way we test how individual requirements affect overall quality and find conflicting goals early. It lowers the risk of expensive changes in late phases.
Is the traceability of requirements preserved?
Yes, that is central. Every requirement stays traceable end to end, from the original need to the later test. So it is always provable why a requirement exists and where it is checked, which is essential in regulated areas in particular.
How do you make sure regulatory requirements flow in from the start?
We consolidate the applicable regulatory requirements and build them into the specification from the beginning, rather than retrofitting them later. AI helps review extensive standards and rules and map the relevant points. The expert assessment and sign-off stays with your specialists.
Good specifications set up efficient experimentation and development.
Book your R&D call now or send us a message