How to Find a Test Strategy That Works in Real QA Teams

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Most test strategies I know have one thing in common: they live in a document nobody opens. 40 pages, perfectly structured, completely irrelevant to how the team actually makes testing decisions on a Tuesday afternoon.
And now we have AI. Tools that generate hundreds of test cases in seconds. Agents that scan your codebase and propose coverage gaps. Dashboards that claim to do risk analysis for you. Impressive. But here is the thing: AI can generate tests faster than any human. It cannot tell you why those tests matter.
That is still a thinking job. Your thinking job.
Key takeaways:
- AI amplifies your testing approach. It does not define it. Strategic clarity matters more in the AI age, not less.
- A test strategy is a decision framework, not a documentation exercise.
- Holistic means: purpose, risk, people and technology in one picture. Not in separate silos.
- The one-page strategy that gets used daily beats the 40-page PDF every time.
- You cannot outsource the "why are we testing this?" question to any tool.
Speaker: Richard Seidl
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