A Content Model Is Not a Design System

Do you recall the days when having a fantastic site was sufficient? Today, people are getting answers from Siri, Google search fragments, and mobile applications, not only our websites. Organizations with forward-thinking goals have adopted an holistic content strategy that aims to reach people across a range of digital programs and platforms.

But how can a content management system ( CMS ) be set up to reach your current and future audience? I learned the hard way that creating a content model—a concept of information types, attributes, and relationships that let people and systems understand content—with my more comfortable design-system wondering would collapse my patient’s holistic information strategy. By developing content versions that are conceptual and even join related content, you can avoid that result.

I just had the opportunity to lead a Fortune 500 company’s CMS application. The customer was excited by the benefits of an holistic information plan, including material modify, multichannel marketing, and robot delivery—designing content to be comprehensible to bots, Google knowledge panels, snippets, and voice user interfaces.

For our information to be understood by many systems, the unit needed conceptual types, which are names given based on their meaning rather than their presentation. This is crucial for an multichannel content strategy. Our goal was to allow artists to create original content that could be used wherever they felt was most useful. However, as the project progressed, I realized that the entire group had to be aware of a new design in order to support material reuse on the level that my customer needed.

Despite our best motives, we kept drawing from what we were more common with: design techniques. Unlike web-focused material strategies, an holistic information strategy doesn’t rely on WYSIWYG equipment for design and structure. Our inclination to approach the material model using our well-known design-system thinking consistently stifled our attention from one of the main objectives of a willing model: delivering content to audiences across multiple marketing channels.

Two fundamental tenets are necessary for a successful information type

We needed to explain to our designers, developers, and stakeholders that we were doing something completely different from their previous internet projects, where everyone assumed that content would fit into layouts as physical building blocks. Because it made the layouts feel more recognizable, the previous approach was more intuitive, at first, at least initially. We discovered two guiding principles that helped the group grasp how a willing model and the design processes we were familiar with were:

Instead of design, semantics must be used by content versions.
And glad models may connect elements that belong together.

Conceptual articles models

A conceptual content type uses form and attribute names that reflect the content’s intended purpose and not how it will be displayed. For instance, in a nonsemantic design, groups may produce varieties like teasers, press blocks, and cards. These types may make it simple to present information, but they do not aid in understanding the meaning of the information, which would have opened the door to the content presented in each marketing channel. To allow each distribution channel to comprehend the information and use it as it sees fit, a conceptual content type uses kind names like product, service, and testimonial.

A great place to start when creating a semantic content model is by reviewing the types and properties that Schema has defined. org, a community-driven resource for type definitions that are intelligible to platforms like Google search.

A semantic content model has several benefits:

A semantic content model also gives you an advantage in the market. by including structured, schema-based data. org’s types and properties, a website can provide hints to help Google understand the content, display it in search snippets or knowledge panels, and use it to answer voice-interface user questions. Without ever visiting your website, potential visitors could easily find your content.
Beyond those practical advantages, you’ll also require an omnichannel content delivery model. Delivery channels must be able to understand the same content in order to use it across multiple marketing channels. For instance, if your content model provided a list of questions and answers, it could be used as a voice interface or by a bot to answer frequently asked questions ( FAQ ) pages.

For example, using a semantic content model for articles, events, people, and locations lets A List Apart provide cleanly structured data for search engines so that users can read the content on the website, in Google knowledge panels, and even with hypothetical voice interfaces in the future.

Content models that connect

Instead of slicing up related content across disparate content components, I’ve come to the realization that the best models are those that are semantic and also connect related content components ( such as a FAQ item’s question and answer pair ). Content that needs to be reused by multiple delivery channels can be connected to each other without having to assemble those pieces again in a good content model.

Consider creating an essay or article. An article’s meaning and usefulness depends upon its parts being kept together. Without the context of the entire article, would one of the headings or paragraphs have any meaning on their own? Our well-known design-system thinking on our project frequently led us to want to develop content models that would divide content into distinct chunks to fit the web-centric layout. Similar effects could have been felt to an article that had its headline removed. Content that belonged together became challenging to manage and nearly impossible for multiple delivery channels to understand because we were cutting content into separate pieces based on layout.

To illustrate, let’s look at how connecting related content applies in a real-world scenario. The client’s design team created a challenging layout for a software product page that included numerous tabs and sections. Our instincts were to follow the content model’s. Shouldn’t we make adding any number of tabs in the future as simple and flexible as possible?

Because our design-system instincts were so well-known, it appeared that we needed a “tab section” content type so that multiple tab sections could be added to a page. Each tab section would display various kinds of information. One tab might provide the software’s overview or its specifications. Another tab might provide a list of resources.

Our tendency to divide the content model into “tab section” pieces would have resulted in an unnecessary complex model and laborious editing procedures, as well as creating content that couldn’t possibly be understood by additional delivery channels. How would another system have resorted to counting tab sections and content blocks, for instance, if it had been able to identify a product’s “tab section” when referring to its specifications or resource list? This would have prevented the tabs from ever being rearranged, and it would have required adding logic to each other delivery channel to interpret the layout of the design system. Additionally, it would have been difficult to migrate to a new content model in response to the new page redesign if the customer had decided against displaying this content in a tab layout.

We had a breakthrough when we discovered that our customer had a specific purpose in mind for each tab: it would reveal specific information such as the software product’s overview, specifications, related resources, and pricing. When the design process began, our desire to concentrate on what was visually and historically significant had obscured the purpose of the designs. With a little digging, it didn’t take long to realize that the concept of tabs wasn’t relevant to the content model. What was important was the meaning of the content they were planning to display in the tabs.

In fact, the customer could have chosen to switch to another format, using tabs, elsewhere. In response to this realization, we decided to create content types for the software product based on the meaningful qualities the client wanted to display on the web. There were obvious semantic attributes like name and description as well as rich attributes like screenshots, software requirements, and feature lists. The software’s product information stayed together because it wasn’t sliced across separate components like “tab sections” that were derived from the content’s presentation. Any delivery channel—including future ones—could understand and present this content.

Conclusion

In this omnichannel marketing project, we discovered that the best way to maintain the content model’s semantic consistency was by ensuring that it was semantic ( with type and attribute names that reflected the content’s meaning ) and that it maintained content that belonged together ( as opposed to fragmenting it ). These two ideas made it easier for us to shape the content model based on the design. Remember: If you’re developing a content model to support an omnichannel content strategy, or even if you just want to make sure Google and other interfaces understand your content, remember:

A design system isn’t a content model. You should maintain the semantic value and contextual structure of the content strategy throughout the entire implementation process because team members might be tempted to combine them and to make your content model resemble your design system. Without the use of a magic decoder ring, every delivery channel will be able to consume the content.
You can still use Schema if your team is having trouble making this transition. org–based structured data in your website. The advantage of search engine optimization is a compelling argument on its own, even if additional delivery channels are not in the works.
Remind the team that separating the content model from the design will allow them to update the designs more quickly because they won’t be hindered by the cost of content migrations. They’ll be able to create new designs without compromising the compatibility between the content and the design, and they’ll be prepared for the upcoming big thing.

You’ll help your team understand these principles by firmly defending them in their efforts to give content the attention it deserves as both your most valuable resource and your most effective way to engage with your audience.