When a product comparison is more useful than a suitability wizard
A guided selector can appear to reduce staff questions by recommending a product automatically. That is worthwhile only when the approved information and decision rules support the recommendation. Sometimes the customer's immediate task is a simpler comparison, while the proposed wizard would imply a conclusion the business is not ready to automate.
This fictional supplier sells equipment housings. The team proposes a suitability wizard after receiving repeated questions about width. A review of the questions and approved product information leads to a narrower first change.
Inspect what the questions actually ask
Three current product records have approved external widths: H-21 is 24 mm, H-22 is 32 mm and H-23 is 48 mm. The catalogue already contains those values, but the customer must open separate pages to compare them. The recent enquiry examples ask which listed housing has a 24 mm external width.
Those questions do not ask the website to approve a complete installation. A separate customer question describes a proposed application with a load condition that the published records do not address. The technical reviewer has not supplied a rule establishing which housing is suitable for that use.
The initial brief combines both situations under “help customers choose the right product”. The evidence shows that one is an approved attribute comparison and the other requires information and judgment beyond the catalogue.
Compare three possible responses
An automatic suitability wizard would need more than the three widths. It would require approved inputs, decision rules, exceptions and a review process for changing those rules. Inventing a recommendation from width alone would overstate what the source establishes.
Leaving every comparison to email is safe in one respect, but it keeps asking staff to repeat an answer already available in approved public data. It also fails to improve the reader's immediate task.
The selected first change is a clear comparison of the published attributes, linked to the relevant product pages and a separate route for application questions. The heading explains that the table compares stated dimensions; it does not approve suitability for a particular installation.
Show what the smaller change resolves
The comparison allows the fictional customer to identify H-21 as the listed 24 mm external-width item. Opening its page preserves the reference and the same approved dimension. H-22 and H-23 remain visible alternatives with their own values; the interface does not hide them as “unsuitable” because the customer has not supplied a complete suitability requirement.
For the load-condition question, the page directs the customer to describe the application for technical review. It does not return H-21 merely because one dimension matches. The receiving staff record retains the application question separately from any selected reference.
The worked checks therefore have two different outcomes: the ordinary dimension comparison is completed from approved facts, and the unmodelled application question is still referred to the responsible person. That remaining boundary is part of the design, not an unexplained failure.
Record what would justify a later selector
A future wizard could be reconsidered if the business supplies approved decision rules, sufficient product information and a defined treatment of uncertain inputs. The project would also need to consider maintenance: who revises the rules when the range changes, and how earlier recommendations remain interpretable where relevant.
The number of repeated questions alone is not enough. Inspect whether the questions are answered by existing facts, whether the comparison is awkward or whether a genuine expert decision is required. Those findings can lead to a content change, a better filter or a separate technical process.
For this example, the table is chosen because it completes the demonstrated public task with information the supplier already approves. It does not preclude future development. It creates a useful boundary from which to evaluate a later proposal without suggesting that the website knows more than its sources.
The supplier-catalogue service can improve those comparisons. Use project preparation to separate a reader's information need from an automated decision you may not yet be ready to authorise.