When internal search does not help someone complete a task, investigate more than one explanation. Content may be missing, unindexed, poorly ranked, or described with unexpected words. An intention-focused test compares the stated need, the query a participant writes, and what they can do with the results. Keep these possibilities open before choosing a search fix.
Beyond keywords
People often think in concepts and needs, not always in exact terms. For instance, a user seeking a 'new phone' might type 'smartphone,' 'mobile device,' or 'handset.' If the search system doesn't recognize these variations, relevant content remains hidden. Prioritize understanding the user's underlying goal or information need, rather than just the specific words they type. This requires a flexible testing approach centered on the audience's natural language and real-world context to uncover these deeper intentions, allowing the team to inspect terminology gaps.
Simulate real scenarios
To investigate user intentions, ask participants to complete specific tasks requiring search, without providing exact terms. For example, a hypothetical task: 'Imagine you need to register a new product. Use the search bar to find out how.' Observe the terms they use, noting misspellings or regional variations. If a participant searches for 'product enrollment' and finds no results, but the site uses 'product registration,' this gap is noted. This approach helps a team inspect the alignment between user and system terminology and identify potential synonym gaps, informing content strategy.
Evaluate relevance and gaps
After each test query, record the exact keyword, task context, and the participant's evaluation of result usefulness. It is critical to observe what happens when the search returns 'no results.' This might indicate that relevant content exists but was not found, or that an unmet user need exists. Analyzing this data allows the team to inspect and refine search algorithms and indexing for better matching. This process prioritizes the user's experience by addressing actual search behaviors and improving content discoverability.
Internal search optimization checklist
- Test common synonyms, misspellings, and regional variations of search terms used by users.
- Record each query, its task context, and the participant's satisfaction with results.
- Analyze user behavior and feedback specifically when the search returns no results.
Identify your top 10 internal search queries that often lead to quick exits or 'no results.' Use these as a starting point for intention testing with a small user group. Record their alternative search terms and the context of their needs. Compile observations into a table mapping problematic queries to user-preferred terms, informing search engine adjustments and content improvements.
Your next discovery begins with a question.
Test an idea, observe the experience and bring evidence to your team.
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