Post-Update Impact Analysis
A structured review, conducted after each major update settles, comparing your winners and losers with the sites that gained and lost around you.
Analogy Mental model
A teaching department laying the top ten exam papers beside the ten failures and working out question by question what the examiner rewarded this year.
In practice What you actually do
Four steps. Export page-level data for the two weeks either side and rank the biggest gains and losses. Identify who took the positions you lost. Compare the pages on substance: original media, data, a direct answer at the top, off-site reputation. Then convert the finding into two or three sitewide standards and apply them.
Where people get burned Pitfalls
Losses often cluster in one legacy directory that has been accumulating for a decade. Finding and removing that section can restore the main site faster than rewriting individual pages.
This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →