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Run: Intranet Search Quality Audit

Audit intranet search quality by reviewing query analytics, zero-result searches, ranking relevance, and content metadata. Use it to find why employees canno...

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Audit Scope and Search Environment

The audit identifies the intranet search scope, business unit or site scope, and the date range used for analytics review.
The search engine, index source(s), and any connected repositories or content sources are documented.
Any recent changes to ranking, synonyms, filters, metadata, or content sources are identified and considered in the audit.
Known limitations such as delayed indexing, excluded repositories, or permission-based result suppression are recorded.
The audit owner and key stakeholders for search, content, and intranet governance are identified.

Search Analytics and Query Performance

The most common search queries are reviewed for relevance, intent alignment, and content coverage.
Queries returning no results are reviewed and grouped by theme to identify missing content or indexing issues.
Searches that are repeatedly refined, abandoned, or followed by rapid query reformulation are analyzed for relevance issues.
Click-through rates, dwell behavior, and result selection patterns are reviewed to assess whether users find useful results.
Search volume and failure trends are compared against the previous audit period to identify improvement or regression.

Result Relevance and Ranking Quality

For sampled high-volume queries, the first page of results matches the likely user intent and task goal.
The result set does not contain excessive duplicates, near-duplicates, or redundant versions of the same content.
Older, archived, or superseded documents are not appearing above current authoritative content for common queries.
Search results are reviewed to confirm that permission trimming is not hiding expected authoritative content from intended audiences.
Common acronyms, abbreviations, and alternate terms return relevant results without requiring exact wording.

Metadata, Taxonomy, and Content Findability

Sampled pages and documents contain required metadata such as title, owner, department, content type, and review date where applicable.
Tags, categories, and taxonomy terms are applied consistently across similar content so search filters and relevance signals remain reliable.
Page titles, headings, and summaries clearly describe the content in terms users are likely to search for.
Sampled content includes current review dates or clear lifecycle status so stale content can be identified and deprioritized.
Available filters and facets align with the actual content structure and help users narrow results effectively.

Governance, Corrective Actions, and Follow-Up

All material search quality deficiencies are documented with evidence, impact, and affected query examples.
Each identified issue has an assigned owner, target completion date, and corrective action plan.
Issues are prioritized based on user impact, query volume, and severity of findability gap.
A follow-up review date is scheduled to verify that corrective actions improved search quality.
Supporting notes, screenshots, query examples, and result samples are attached to the audit record.

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