If you can find a product by name but customers cannot reach it with their usual term, you first need to connect the query with the expected result. A collection pairing each entered term with the intended product makes these cases comparable. You can then narrow down whether catalogue data, the search index or search rules need to change.
Collect search tasks, not arbitrary words
Choose product-related cases from advice, support or lawfully collected search reporting. Avoid exporting unrestricted free-text searches: they may contain names, email addresses or other personal information. A working list needs cleaned product terms and described tasks.
Record the query, intended product or outcome and actual results. A known model, a broad product type and a requirement such as a connector type are different tasks.
Baymard’s search research distinguishes different types of product queries. Use that distinction to diversify your own collection. Ten nearly identical model names do not test a broad product-search journey.
Check the data chain first
First open the expected product through its category. If the required information is missing there, correct the catalogue. If the catalogue has it but the search index does not, check the data update. Only once search is using current data can you meaningfully assess whether its rules mishandle the query.
An identifier may need different handling from an ordinary phrase. A hyphen or manufacturer spelling should not accidentally prevent identification. Test the forms that actually occur in your catalogue and supporting documents.
Synonyms particularly need a product-informed check: two names for the same item may usefully be linked, whereas a similar but incompatible product type should not be treated as equivalent. Otherwise, search returns more results but customers have to work through unsuitable suggestions.
No results is a state of its own
When no suitable product is found, preserve the query and offer a useful next action. That may be a spelling correction, a relevant category or a way to ask about the range.
Do not present unsuitable products as a successful answer. If you offer alternatives, identify them as alternatives. Replacement parts and accessories also need a clear indication when compatibility has not been established.
Large result sets need orientation as well. The query, count and active filters should explain which set is currently shown. On mobile, retyping should not be the only way to adjust a search.
Recheck changes against the same collection
After a change, you can repeat the cleaned search tasks, including cases that already worked. This shows both whether the new term now succeeds and whether an added synonym has displaced an exact search for another identifier.
Evaluate suitable results and the subsequent selection task. More result clicks can mean people have to open more incorrect products. A later quantitative evaluation needs appropriate measurement and a lawful data basis.
Replacing the search system becomes a reasoned decision once its missing capabilities are clear. Use the cleaned task list for a shop diagnosis or pass it on as an acceptance checklist for CRO implementation.
