Growth-stage SaaS companies scale revenue faster than they scale onboarding headcount, and most can’t tell whether that gap is costing them expansion revenue, because nobody has instrumented the question. The problem isn’t documentation volume. It’s whether onboarding content is structured to work without a person standing beside it.
Content Modeling
Posts tagged “Content Modeling” on Intuitive Stack Insights.
EPPO still matters as an information architecture principle in the age of LLMs. But the meager paragraph has to do more. While the page is still the container, each paragraph, list, or table must be able to stand on its own out of context. It might be just the answer your customer is looking for.
Topic size isn’t just a stylistic choice; it’s a financial and technical one, and it’s really two questions. How big should a topic be where it’s authored, and how big should the page be once it reaches a reader? Here is the strategic case for the 250-word target, and why it can still fall apart at delivery.
A Wikipedia reader and a support agent or service technician are in two different worlds. One is following curiosity; the other is fighting a fire. Here is how to know when a sub-topic needs to stand on its own.
Management information architecture (also called back-end IA) models the structures that govern how content is created, stored, and published, and often depends on coordination with delivery IA and the content strategist.
Delivery information architecture (also called front-end IA) expresses the requirements for a specific channel’s user experience, and often depends on coordination with management IA and the content strategist.
The information architecture principle of Every Page Is Page One is a strategic lever you should use to improve customer satisfaction and increase revenue. Seventy percent of B2B buyers say online content shapes their purchase decision before they ever talk to sales.
When readers press Ctrl+F on your content pages, they are not using typical search. They are hope-searching: scanning for an exact word and hoping it appears. Unlike a typical search engine, there is no synonym matching. That behavior is worth noticing. It usually points to a structure problem, not a writing problem.