When validation is treated as the final phase of delivery, teams can prove that a product matches its documented requirements and still discover too late that the requirements describe the wrong need, the experience is difficult to use, or the organization cannot operate what was built.
Validation starts with the decision
Before development, teams make claims about a problem, intended users, value, behavior, feasibility, risk, and the conditions required for adoption. Each material claim can be treated as something to validate rather than as a fixed premise.
Early validation does not require production software. Research, existing data, service evidence, policy analysis, prototypes, technical experiments, and operational walkthroughs can reduce different kinds of uncertainty before expensive choices harden.
Build an evidence chain
A coherent validation approach connects the original need to the outcome, the product behavior intended to influence it, the requirements and acceptance criteria, and the evidence used at release and in live operation. Each link asks a different question.
- Need evidence: Is the problem meaningful for the intended users?
- Concept evidence: Is the proposed direction understandable and credible?
- Design evidence: Can people complete realistic tasks across relevant contexts?
- Delivery evidence: Does the implementation satisfy functional and quality expectations?
- Readiness evidence: Can users and the organization adopt, support, govern, and operate it?
- Outcome evidence: Does use produce the intended change without unacceptable consequences?
Do not wait for a finished product to ask whether the product should have been built that way.
Consider an Employee Service Hub
Before building a new request workflow, a team can examine why employees abandon the current process, which policies create confusion, what service agents need to resolve a case, and whether a prototype makes the next step clearer. Technical experiments can test integration and data constraints while operational teams test support and escalation.
By the time formal acceptance begins, the team has a chain of evidence rather than one late checkpoint. Testing can focus on whether the implemented product preserves the validated intent and meets the standards required for release.
Keep validation alive after release
Release creates access to stronger evidence about real behavior, scale, reliability, support demand, and outcomes. That evidence may confirm the product direction, reveal an experience gap, or show that an assumption was wrong.
A product team should therefore define not only what must be true to release, but also what it expects to observe afterward, who will review the signal, and which decision may change. Validation becomes a lifecycle discipline rather than a delivery gate.
The Product Delivery and Validation guide shows how intent, evidence, quality, acceptance, readiness, and release decisions form one connected system. Open the Product Delivery and Validation guide.
Identify the claims behind the product, match each claim to appropriate evidence, and keep the chain connected from discovery through live outcomes. Final testing should complete the evidence story, not begin it.
References and further reading
These references provide additional context for the product principles discussed in this article.