1. Sort and Filter

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The first thing we needed to do was sort articles into content that should be removed, and content that should be updated. To do so, we created a tracker that showed the following metrics for each article:

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• Date published

• Date of review

• Duplicate?

• Number of incoming links

• Product version

• Google Analytics page views

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Articles that were marked for archiving fulfilled one or more of the following criteria:

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• Over 5 years old

• Less than 50 page views

• Included duplicate content

• Included content for a version that was at end of life

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If any articles were marked for archiving that also included incoming links, we backtracked the links and removed them to prevent creating 404 errors.

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2. Editing remaining articles

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Any articles that were not marked for archiving were tracked as either quick edits or projects. 

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• Quick edits: Editing would take less than an hour, with no need for SME input.

• Projects: Editing would take longer than an hour, or would require clarification from an SME.

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3. Staying organized and measuring efforts

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We created an epic on Jira to track our cleanup efforts. Posts were sectioned out in stories by date published.