Applying Product Thinking to QA: A Structured Approach to Requirement Analysis and Test Case Design

As QA engineers we wear many hats—technical, operations, UI, and user‑experience—yet we often neglect developing a product‑oriented mindset. The author argues that product awareness is a way of thinking that starts with thoroughly understanding requirements before jumping into test case design.

When encountering raw requirements, the author suggests three focus areas:

Understanding the background of the requirement.

Analyzing its feasibility.

Identifying the requirement’s intrinsic characteristics.

The department’s workflow adds a "coarse‑review" step before formal requirement review, where technical analysis balances the product manager’s perspective.

Requirement background : Explain the need behind the request, e.g., Ford’s desire for a faster vehicle stems from the limitation of horse‑drawn carriages. In a book‑reading check‑in feature, the PM’s request to sort content chronologically leads to questions about scalability and edge cases.

Feasibility : Evaluate technical, resource, and schedule feasibility. The article illustrates a high‑school exam‑related discount scenario where verifying student identity via exam tickets proves impractical due to verification difficulty, template diversity, and cost, leading to the decision to drop the feature.

Requirement characteristics : Recognize business‑specific traits and marketing tactics. For a promotional activity with two purchase options (A and B), the author notes an intentional bug in option B that allows users without referrals to obtain the discount, highlighting the need to design test cases that cover such edge conditions.

To efficiently perform this analysis, the author spends about half an hour reviewing all uploaded requirements, listing questions, and targeting them during the coarse review. After concluding the analysis, the requirement structure becomes stable, paving the way for detailed review, which focuses on finer technical details and implementation choices.

The article emphasizes a "big‑to‑small, coarse‑to‑fine" approach: first outline the overall information architecture, then drill down into module boundaries and user‑flow steps, finally refining test cases accordingly.

Images illustrating the workflow and past article references are included in the original content:

Overall, the piece provides a practical guide for QA teams to incorporate product thinking into requirement analysis and test case creation, ensuring alignment with business objectives while managing limited resources.