How do I figure out what people are searching for but not finding in our internal docs?

A practical way to find “what people are searching for but not finding” is to combine search logs + zero-result queries + follow-up behavior.

1) Start with search analytics

If your internal docs/search tool logs queries, look for:

• Zero-result searches: queries that return nothing
• Low-click searches: queries that return results, but nobody clicks them
• Refinement chains: people search, then immediately search again with a different phrase
• Repeat searches: same term searched often across many users
• Long-tail queries: highly specific terms that may indicate missing docs

These are usually the strongest signals of content gaps.

2) Compare query volume to content coverage

Group searches by:

• topic
• intent
• synonym variants
• acronyms / internal jargon

Then map them to existing docs:

• Is there a doc on the topic?
• Is the doc titled using different wording?
• Is the answer buried too deep?
• Is the content outdated or incomplete?

Often the problem is not “missing content” but mismatched vocabulary.

3) Look for “search success” proxies

If you don’t have explicit zero-result analytics, infer misses from behavior:

• search followed by broadening terms (“password reset” → “login issue”)
• search followed by no further engagement
• users opening multiple docs quickly and leaving
• repeated searches from support or onboarding teams

4) Mine support tickets and Slack/Teams questions

People often ask the same thing in different channels before they search or after they fail to find it. Look for:

• questions that recur
• phrases people use, especially informal wording
• repeated requests for links/documents

This helps you discover the language users actually use.

5) Create a “missing search” dashboard

Track:

• top zero-result queries
• top queries with no clicks
• queries with the most refinements
• queries that lead to support escalation
• queries with high frequency but poor satisfaction

Review it weekly or monthly.

6) Validate with users

For the top problem searches, ask:

• What were you trying to do?
• What term would you expect to find this under?
• Did you find the answer elsewhere?
• What wording would make the doc easier to find?

This often reveals that the content exists, but the title/summary/keywords don’t match user language.

7) Fix both content and findability

Once you identify gaps:

• add missing docs/FAQs
• improve titles and headings
• add aliases/synonyms
• add tags and keywords
• include “people also search for” terms
• write short answer summaries at the top

Simple workflow

1. Export search queries from your docs platform
2. Filter for zero-result, no-click, and repeated queries
3. Cluster by topic and intent
4. Compare against existing docs
5. Patch missing content and metadata
6. Recheck whether those queries improve

If you want, I can also help you build:

• a spreadsheet template for analyzing search logs, or
• a SQL/query approach if your internal docs search data is in a database.