How to test product requirements before development
The cheapest bug to fix is the one you find while the requirement is still being discussed. Use QA questions and scenarios to test the requirement before the implementation.
Start with the intended user behavior
Rewrite the requirement as observable behavior: who is acting, what they do, what they should see, and what happens when the action cannot succeed. This exposes vague verbs such as “support”, “handle”, or “improve” that need a concrete definition.
Ask the questions a happy path hides
A requirement is not ready when it only explains the success case. Ask what happens with empty data, invalid input, retries, permissions, conflicting state, network failure, partial completion, and existing users.
- What is the first-time and returning-user behavior?
- What happens when the request fails or times out?
- Which roles can see, edit, or approve the behavior?
- What happens when two states conflict?
- What must remain unchanged for existing flows?
Turn answers into a focused recipe
Capture the expected result and the minimum scenario that proves it. The recipe should be small enough to run, specific enough to reproduce, and linked back to the requirement it verifies.
Use AI for the first pass, humans for the decision
AI ticket analysis is useful for generating questions and edge cases quickly. Product, engineering, and QA still need to resolve ambiguous decisions and agree on what is actually in scope.
See FirstQA in action
Frequently asked questions
What makes a requirement testable?
A testable requirement describes observable behavior, expected outcomes, relevant states, boundaries, and enough context to decide whether the result is correct.
When should QA review a ticket?
As early as possible, ideally before implementation starts. Early questions are cheaper to answer than bugs discovered after release.
Put the idea into practice
Read the workflow docs, see a real analysis, or apply for early access to FirstQA.
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