Loading...

Intranet Search Quality Audit

Intranet Search Quality Audit

Inspection template for reviewing intranet search analytics, failed searches, and result relevance to improve content findability and search performance.

Audit Scope and Search Environment

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

Search Analytics and Query Performance

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

Result Relevance and Ranking Quality

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  • Outdated or superseded content not ranked prominently
    Older, archived, or superseded documents are not appearing above current authoritative content for common queries.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

Metadata, Taxonomy, and Content Findability

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

Governance, Corrective Actions, and Follow-Up

  • Deficiencies and non-conformances documented
    All material search quality deficiencies are documented with evidence, impact, and affected query examples.
  • Corrective actions assigned with owners and due dates
    Each identified issue has an assigned owner, target completion date, and corrective action plan.
  • Priority ranking established for remediation
    Issues are prioritized based on user impact, query volume, and severity of findability gap.
  • Follow-up audit date scheduled
    A follow-up review date is scheduled to verify that corrective actions improved search quality.
  • Inspector notes and evidence attached
    Supporting notes, screenshots, query examples, and result samples are attached to the audit record.
Ask AI Template Studio

Let's customize Intranet Search Quality Audit.

Tell me how you'd like to adapt it. For example:

  • Add a question about delivery time.
  • Make it shorter — 5 questions max.
  • Tailor it for the hospitality industry.
  • Translate the labels into Spanish.