As posts and files accumulate, adding more menu items can feel like the obvious response. Displaying many titles does not by itself make the right material easy to find. Reviewing the article archive and resource-library source, I distinguish topic, audience and required format as different kinds of selection criteria.
Work notes and implementation modules will keep growing on this website too. Readers should be able to enter through a problem they want to solve, rather than through a menu of every project name. I inspect the fields that the actual source classifies and searches, then explain the discovery behavior within that scope.
Topic and conditions of use are different dimensions
The inspected article archive uses work topics such as income, maintenance, qualifications and tax. The resource library combines audience, age range and type. One asks which problem an article addresses; the other narrows who needs which material. The structures cannot be exchanged merely to achieve matching item counts.
I distinguish a principal topic from conditions that can coexist. A file useful to several audiences should not be hidden beneath only one audience menu. In the actual resource schema, audience and age range are arrays while type uses a defined value. Establish the allowed data values before designing the filter controls.
Establish which fields the search really reads
The article search checks a normalized string built from titles, descriptions and keywords. It normalizes Unicode, splits the query into words and requires each word to occur. That code does not establish full-body or attachment-document search. A feature called search still needs a clear statement of what it searches.
The resource card’s search data comes from its title and description. Wording found only inside a file may therefore produce no match. The next decision is whether to improve the description and keywords or design a separate full-text search. The relationship between material and search data matters more than the search box’s appearance.
Explain how combined conditions narrow the result
The resource code shows cards satisfying all selected audience, age and type conditions. A condition set to all imposes no restriction. The title-and-description query applies alongside them. Several conditions can legitimately produce zero results, so selection state, result counts and an empty-state explanation help distinguish narrowing from disappearing content.
The source marks selected buttons, updates the count and suggests relaxing filters when no resource matches. This verifies that those mechanisms are implemented, not that every reader understands them. Applying the structure requires checking the selected conditions and how to broaden results on the rendered screen.
Carry discovery context into the archive
The homepage information section leads into a full archive rather than showing every article at once. Where only some filtered results are displayed, the inspected code carries the selected category and query into the archive address. The archive reads those conditions and validates a requested category against its allowed set.
Address-based conditions can provide a way to reopen a discovery state. That does not mean every filter in every inspected site is persisted in an address. The resource library manages its filters as local screen state. I distinguish those implementations and decide whether sharing or return navigation warrants additional state design.
Availability and format are part of selection
Resource cards show format and usage category. A missing file produces an unavailable state instead of a download link. That makes availability visible during selection. Finding a title and having a usable file are different events.
Modules on this website face related questions: is there source code, an executable example, or a need for additional connections and review? Giving every card the same finished appearance would obscure those differences. I connect content status to the actual material and implementation conditions so the classification can support a decision.
Try real material before adding more categories
Plausible category names may still leave actual material hard to place. A practical review places representative items and checks whether they drift between menus, accumulate under miscellaneous or fall beneath labels too similar to distinguish. This is an applicable review method, not a claim that search logs were analyzed for this article.
A growing library also benefits from distinguishing internal identifiers from display labels. Labels can then be refined while checking existing items against allowed values and preserving connections. Adding a category changes the material and discovery conditions together, not just one navigation label.
Maintain the taxonomy through the reader’s questions
This article inspected the current search and filter code, resource schema and card presentation. It does not transfer original business identities, addresses or the resources themselves. It also does not report a new browser search, keyboard review or satisfaction measurement. Code-level conditions remain distinct from the actual-use review still needed.
The classification I want to preserve follows the reader’s question more closely than the maker’s folder list. As implementation grows, I maintain what people seek and the conditions they use to select it. Adding titles and keeping useful material discoverable are related but separate tasks.