Operating Notes
Evidence-led software validation
Validation is not a slide exercise. It is the discipline of testing customer pain, workflow fit, support burden, and operating reality before expanding a product.
Start with the workflow
A focused software product should begin with a blocked workflow, not a broad category. The first question is simple: what does the user need to finish, and where does the current process break?
Good validation makes the workflow visible. It identifies the user, the trigger, the input, the expected result, the handoff, the support need, and the point where the product should stop.
Evidence to collect
AssetGrid looks for practical evidence before a product path expands:
- Demand: people can describe the problem in their own language.
- Workflow fit: the product fits the real sequence of work.
- Onboarding clarity: a new user can understand the first action.
- Support load: repeated questions are visible and manageable.
- Delivery path: the product can produce a clear result or next step.
- Boundary clarity: users know what the product does and does not do.
None of these require invented scale claims. They require observed use, careful notes, and a decision record that can be reviewed later.
Stop criteria matter
Evidence-led validation should include stop criteria. If the user problem stays vague, support needs become too heavy, data boundaries are unclear, or the workflow cannot be delivered with the available operating model, the correct decision may be to pause or narrow scope.
This keeps the product honest. It also protects customers from promises that the current system cannot support.
What to bring
For a validation discussion, bring the target user, current workflow, current product state, known objections, support issues, data constraints, and the decision you want to make next.