Crawling, Indexing & Canonicals: Experiment design
Treat uncertain changes as experiments with a hypothesis, a control, and a decision rule. Part of the Crawling, Indexing & Canonicals module in a complete path from SEO fundamentals to professional delivery.
Why this lesson — Experiment design
Treat uncertain changes as experiments with a hypothesis, a control, and a decision rule. Inside the "Crawling, Indexing & Canonicals" module: Diagnose robots, sitemap, canonical, and duplicate-content issues that keep the right pages out of the index.
- Level: Intermediate
- Lesson 18 of 25 inside this module
- Start from the problem before choosing a tactic
How to do it, step by step
Run these steps in order on a real project, and do not jump ahead before the previous step is done.
- Write: if we change X, then Y will move because Z
- Choose control pages that match in traffic and intent
- Set the runtime and the decision rule up front
Quality bar before you call this done
If one of these is missing, the work is not ready to ship or to hand over.
- No mid-test changes
- Result is documented even when negative
- Learning is reusable
Practical assignment
Map crawl paths for a sample site and identify pages that need guidance or exclusion. Apply it specifically through this lesson's lens: Experiment design.
- Keep the output to one page
- State what you will measure and when
- Define the next step and its owner
Turn the idea into a clear output.
Map crawl paths for a sample site and identify pages that need guidance or exclusion.
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