How should a topic cluster be designed so supporting pages strengthen each other instead of becoming a pile of overlapping articles?

Build the cluster around distinct user problems and content roles.

Start with a topic map. Define the broad entity or problem space, then list the major intents inside it: definition, diagnosis, implementation, comparison, troubleshooting, cost, examples, tools, and advanced subtopics. Merge items that would produce substantially the same answer.

Choose a hub only when a broad overview is genuinely useful. The hub should orient users, explain the model, and link to specialized pages. Supporting pages should go deep on one problem and link back to the hub plus adjacent pages when the relationship is useful.

Create explicit internal-link rules. For example: every supporting page links to the hub; diagnostic pages link to implementation pages; related subtopics link laterally when a user would reasonably need the next concept. Do not add every possible cross-link.

Assign one primary intent per URL and maintain a keyword/content map. If two pages repeatedly rank for the same query and answer the same question, consolidate or differentiate them instead of tweaking titles indefinitely.

Use shared topic tags in the CMS to power related content, but curate high-value links rather than trusting tags alone.

Measure cluster health by more than total traffic. Look at indexed coverage, internal-link depth, assisted navigation, conversions, and whether the right page ranks for each intent.

A strong cluster is a navigable knowledge model. Each page has a reason to exist, a clear place in the hierarchy, and predictable relationships to the rest of the topic.