Categories
Content Effectiveness Content Experience

Seven examples of content behavior design

Content behavior design promotes the discovery of content.  It is different from information architecture, which is focused on global information organization and navigation, and on offering users tools to specify what they are seeking.  Content behavior design anticipates what content might be interesting for users, and decides what to display based on that.  Rather than assume the user is necessarily looking to find a piece of information, content design assumes that the user may not be consciously looking for a piece of information, but would be happy to have it available if it were relevant to core content she is viewing.

In some cases, content behavior design can help people discover things they were not seeking.  In other cases, additional content provides more clarity.  Effective designs give audiences more context, making the content richer.  Here are six examples to illustrate how content behavior can work for audiences.

Real time content aggregation (Kayak)

kayak flight

Many bits of information are associated with a single label (a flight number) representing a single object (a plane).  This example brings together real time information about the flight, showing information about three locations (departure, current, and arrival) and timing information about events associated with these locations.  The aggregation of many pieces of real time information makes this powerful.  Real time information is compelling because it changes and gives audiences a reason to check for updates.  One could imagine this example being even more useful if it included weather related information affecting the flight, especially any weather conditions at the arrival destination that could impact the projected arrival time.

Content about related actions (ESPN)

espn tickets

In interaction design, it is helpful to highlight a next action, instead of making the user look elsewhere for it.  In this example from ESPN, the column on the far right allows the user to order tickets for a basketball game.  But instead of simply saying “order tickets,” it provides information about how many seats are available and the costs.  Incorporating this content is successful for two reasons: 1. It gives people interested in ordering tickets an idea of their availability; and 2. It gives people not interested in attending the game in person a sense of how anticipated the game is in terms of attendance.  Based on the number of tickets sold, and the prices of tickets, do fans expect an exciting game?

Tracking components of collections (Paprika)

paprika shopping

Digital content curation is an important development.  People collect content items that have associated metadata.  As they assemble items into collections, the metadata can be combined as well.  In this example from the recipe manager app Paprika, the ingredients from two recipes are combined into one shopping list, so that the user knows how many eggs in total he needs to make both dishes.  The content is smart enough to anticipate a need of the user, and perform that task without prompting.   Another example is the app Delicious Library, which can track the replacement costs of books one owns.  Designers use content behavior for applications focused on the “quantified self”— the collection of information about yourself.  For example, a design could tell the user what night of the week she typically sleeps best.

Audience activity insights (Economist)

economist readers

What audiences are interested in is itself interesting.  The Economist has adapted the concept of a tag cloud to listen to reader comments on their articles.  The program listens for keywords, newsworthy proper nouns or significant phrases, and shows relative frequency and extent they coincide.   It’s a variation of the “most commented” article list, but shifts the focus to the discussion itself.  Audiences can see what topics specifically are being discussed, and can note any relationships between topics.  For example, Apple is being discussed in the context of China, rather than in the context of Samsung.  Users can hover over to see the actual comments.  It provides a discovery mechanism for seeing the topicality of the week’s news, and provides enough ambiguity to tempt the reader to explore more to understand why something unfamiliar is being discussed.

Data on content facets (Bloomberg)

bloomberg

Content can have many facets. Faceted navigation, which takes the user to other content related to that facet, is a well established navigation technique.  This example from Bloomberg, in contrast, brings the content to the user.  As the interview is happening, users can get more information about things mentioned in the interview.  Without leaving the interview, the user can get more context, viewing real time information about stock prices discussed, or browsing headlines about companies or industries mentioned.  The viewer can even see how often the person speaking has appeared on the show previously to get a sense of their credibility or expertise.  Even though some of this information is hidden by collapsible menus, the user does not need to request the system to pull this information – it is provided by default.

Data-driven leaderboards (IMDb)

imdb leaderboard

Lists are a helpful navigation tool, but they are more valuable when they have interesting data behind them.  Unlike tables of data, which require users to sort, leaderboards provide automatic ranking by key criteria.  In this example from IMDb, animation series and titles are ranked by user rating and gross revenues.  The ranking provides the casual viewer a chance to gauge relative popularity before clicking on one for more information, while the core fan might check the list to see if their favorite film has moved up in the rankings.

Content recommendations (Netflix)

netflix recommendation

There are growing numbers of content recommendation engines, covering articles, books, music, videos and even data.  They rely on different inputs, such as user ratings, user consumption, peer ratings, peer consumption, and imputed content similarity.  In many respects, content recommendation engines represent the holy grail of content behavior design.  The chief problem for users is understanding and trusting the algorithm.  Why am I being told I would like this?  Netflix provides a rationale, based on prior activity by the user.  It’s probably a simplification of the actual algorithm, but it provides some basis for the user to accept or reject the recommendation.  I expect recommendation engines will evolve further to provide better signals that suggestions are a good fit (no risk), and that they aren’t too narrow (the filter bubble problem).

Ideas for thinking about behavior

In choosing what content to present, it helps to ask:

  • what else might someone find helpful that is related to what is being presented?
  • what aspects of content are notable, changing, and newsworthy, and how can you highlight these aspects?
  • how can you present content elements so they are interesting, rather than simply informative?
  • if you are trying to encourage audiences to act, how can real time content to used to support that?
  • how do different audiences relate to the content, and can you provide something that appeals to different segments?
  • what content could the system automatically provide that is laborious for someone to do themselves?

Designing content behavior is central to content engagement.  Try out ideas, and test them to see what works for your audiences.

— Michael Andrews

Categories
Big Content

Content as a dynamic resource

Few content contributors understand how technology transforms content.  They focus on getting content to fill an existing product such as a newsletter or mobile app, but don’t see the other potential ways the content could be used.  As raw material content has many possibilities.  Publishers don’t always appreciate these possibilities.

Historically, content professionals have focused on the desirability of separating content from its presentation so that content can be managed more effectively, and visual design can be managed more consistently.  Content is stuff marked up in XML, while presentation determines how the audiences actually see the stuff.  Recently, content professionals have been writing more about content behavior.  Mark Baker for example champions a concept he calls “content engineering” and has written a terrific article on the need to separate content from behavior.

Authors have trouble thinking about content as raw material because they tend to view publishing as an event, rather than as an ongoing process.  I want to propose three pillars to help to clarify the many possibilities for content.  These pillars are

  1. content stock
  2. content presentation
  3. content behavior

Content stock is what many people just call content.  The distinction I am making is that the stock of content is always available and ready to morph into something else, even when it appears finished and ready to be consumed.  Content stock is not an end product, but a resource, much like stock photography.  It may be created for immediate or later use, or acquired from third parties.  Content stock is mediated by APIs sourcing content from elsewhere, and CMS and DAM platforms managing content assets owned by the organization.  Metadata gives content stock meaning that is intelligible to computers, which determine which parts are most relevant to an audience.   Examples of content stock include

  • articles
  • text streams such as comments in social media
  • text descriptions from catalogs
  • tabular data
  • audio such as interviews and music
  • video
  • imagery such as photos and graphic illustrations
  • user profile information
  • display ads
  • re-usable slogans and messaging

Content presentation determines how the selected content is presented to end users.  There are a number of ways that code can change how content is presented.  Even though code separates content elements from their presentation, the relationship between content and presentation is often a source of grief because digital content behaviors differently from analogue content.  Code can, for example, provide some amazing transition effects, at the same time it struggles to offer some of the layout precision found in print media.  Content presentation can influence the meaning audiences derive from content.  Subtle clues about the importance and relationship between items can be conveyed through hierarchy and the separation or association of different content elements.   Publishers can use presentation frameworks to change how different audience segments view or experience content.  Some content presentation frameworks include

  • visual styling frameworks, codified in CSS
  • media format frameworks, such as text to speech capabilities or image animation
  • language and wording customization, such as applying audience specific terminology
  • data visualization frameworks, such as widgets that can display variable data
  • templates for content presentation for different devices
  • emerging frameworks such as CSS filters and WebGL

Content behavior design is about what content is presented, rather than how it is presented.  It treats the content to deliver has a variable that will change according to the circumstances or audience needs.  Content systems can adapt content to address changing needs of audiences, and in so doing, become much more anticipatory.  Recommendation engines are an example of content behavior design.   Some other examples of content behavior design include

  • varying the length of content through automated summarization or content augmentation
  • location-aware content that changes depending on the user’s location
  • time-adaptive content, showing content based on time of day, date, or season
  • content offering real time data, such as data driven journalism
  • content about user activity such as trending content or sentiment
  • query-driven, criteria-based content, such as IF content has certain characteristics, THEN find notable related content with similar dimensions
  • calculated content, such as displaying inflation adjusted values

Moving beyond COPE

Focusing on content behavior moves us a step beyond COPE, the “create once, publish everywhere” paradigm first developed at NPR.  The original idea for COPE was to get “the same NPR story displayed in a wide range of platforms.”  COPE is a revolutionary concept that most organizations are still struggling to deliver.  It is a good fit for a news organization like NPR, which creates content serially and generally does not revise content once it’s published.  But for other publishers, especially those creating evergreen content or looking to re-use themes and assets, it can be more useful to focus on the process of content assembly than a discrete event of content publishing.  Their stock of content may contain many stories, not just one.  Content behavior design allows elements in one’s stock of content to be utilized repeatedly and be available on demand as needed.  It can also provide a richer content experience for audiences.  The more dynamic the content, the more dynamic its presentation can be as well.

— Michael Andrews

 

Categories
Content Sharing

How to create impact with shared content

The benefits of having your content shared are obvious.  You get “earned media.”  You increase your reach, and gain credibility by having trusted people distribute your message.  “Your customers become the channel,” to use the words of Forrester. But content that is shared is not necessarily content that is heard – at least by the people who you want to hear it.  If you focus too hard on increasing the number of times your content is shared, you loose focus on whether your content is having a real impact. Many publishers unfortunately focus on measuring sharing activity rather than sharing value.

The vanity of engineering followership

Publishers want to know how to get more people to use their content to further their business goals.  It’s an understandable target, but can produce a distorted approach.  The publisher starts to worry about behavior of audiences they don’t control, instead of worrying about what they do control: the qualities of their content.  The preoccupation with how audiences are conforming to the publisher’s plans can end up being counterproductive.

The publisher centric perspective will begin looking for “influencers” who can spread their message through their content. Publishers hope that if the content can get to the right influencers, those influencers can spread the content and it will be viewed by many others, and consequently have a huge impact. Grand expectations about the power of sharing are colored by concepts such as social contagion, the mechanism behind viral marketing.  Fans of viral marketing also point to research from behavioral economists and cognitive scientists suggesting that people respond unconsciously to various priming, and as a result can be “nudged” into certain actions.

As a practical matter, the mechanics of influence are messy. One forthcoming book on propagation in social networks concludes: “the existence of influence and its effectiveness for applications such as viral marketing depend on the datasets.” Duncan Watts of Microsoft Research notes in his book Everything is Obvious that influence is difficult to orchestrate, especially when confronted with a multitude of factors, each can intervene to shape people’s choices in differing ways. This is not to say people can’t be nudged; rather, the dynamics of influence are involved, and need to be approached with care.  Don’t expect nudging will necessarily provide magical results.

Not only is nudging complex, it can be a distraction. People are often most readily influenceable about things that matter little to them personally. Trying to sway the behavior of your audience fosters worries about follower numbers and fan loyalty – rather than whether audiences are getting value from what you provide them.

Never confuse your agenda with the audience’s

While the publisher may be worried about how to get audiences to do things with their content, the audience could care less about the goals of the brand. The audience thinks: how can I use this content for my personal needs? People have their own purposes for engaging with content that may differ from the publisher’s. Publisher goals can even infringe on audience needs when the brand has become too pushy in its messaging.

Brands often have vague goals for their content, and a vague sense of whom they are reaching and what impact that achieves. They often measure the wrong things as a result. The most obvious mistake is measuring loyalty and sharing rates, without respect to audience segment. A brand that has a core group of loyal fans that regularly shares their content sounds impressive. But who those fans are, and what business value results from the content shared is what matters. Brands need to dig deeper into what’s happening with their content to see what impact they are realizing from content that is shared.

One of the largest groups to share content routinely are middle age women on Facebook.  One could optimize content so that it gets shared on Facebook by this group, and increase the volume of shares. But one should first ask if this segment, defined in such broad terms, is the right segment you want to reach.  Does your audience you want to reach spend much time on Facebook?  Do they share on Facebook the kind of content you create?  What groups would you like to reach that aren’t active on Facebook?

The figments of trivial content

Light entertainment is some of the most shared content, things like cat videos and brand-themed games.  The mundane cat video shows several facets of the sharing process.  Some people will refuse to view a cat video.  Of those who do, some will view it, but wouldn’t think about sharing it, concerned they might look silly.  Others are happy to share the video with their friends, some of whom are annoyed and ignore it, others of whom are known to like the genre.  It is possible that the loyal fans watching the video can’t remember which brand was behind the video, while the annoyed recipients of shared video are very aware who’s behind it.  Attention can be surprisingly acute when annoyed.  A brand that simply measures the volume of shares, and their click through rates is in trouble because it doesn’t understand who is using its content or why they are doing so.

Social chit chat is the most common driver for sharing content.  Social media discussion is rarely momentous, and most content shared through social media is not momentous either. This characterization is not a judgement of people’s qualities, but a reflection of how humans communicate.  Linguists have long recognized that conversation performs a social function that is more important than its information function.  Social media is akin to spoken conversation.  Much content that is shared is a pretext for social interaction unrelated to the content itself.

Content acts a social lubricant.  It gives us something to talk about, when we feel like talking.  We comment on what we like or dislike, or agree with or disagree with.  These reactions are often superficial and predictable.  They involve little investment of effort, and result in little influence.  Much of the activity relating to sharing content creates no lasting impact at all.   Social chit chat doesn’t help brands much, because it neither changes people’s perception of the brand, nor spurs them to take action.

A lot of content that is shared is about vicarious experiences, imagining what you might do if you were the famous person in the news, or dreaming about places you might buy or visit.  Many people are happy to offer quick opinions to each other on topics with which they have no direct experience, relying on impressions and beliefs they acquired somewhere in the past. People never rethink their knowledge and perceptions when they engage with content superficially. They merely re-live old attitudes.

Trivial content doesn’t create an impact for a brand. Content needs to be meaningful for audiences for them to gain value from it.

Attracting brand awareness through sharing

Businesses should encourage the sharing of content to build favorable brand awareness with audiences they want to reach. Brands are successful when they know that people care about the content itself, and are not simply using the content as a way to size up their friend’s personality.  When the essence of the content has value for the audience, it reflects back positively on the brand.

Your content might be shared by people who are existing customers, have a strong interest in becoming a customer, or only have a casual interest in the brand.  Those who find your content may share the content with others who are not customers, who may or may not be looking to buy the services you offer, or even be familiar with your brand.  Whether or not either of the parties are actively in the market, if they match the general characteristics of the audience segments the brand is trying to reach, they can be valuable to engage with, since they may eventually want something from the brand, or be in a position to influence a peer who will want something.  We cannot predict what the buying status will be, so it is important to keep the focus of the content on being helpful for the viewer and to limit any hard sell.

Some marketers might prefer to have the content encourage people to take a specific action, instead of offering a brand focus.  Including a call-to-action can be appropriate for content when customers are in a buying mode, but is less appropriate for audiences who are getting information through the unsolicited referrals from peers.  In general, people will balk at spontaneously sharing content that seems sales-oriented unless the friend has already expressed interest in the product.  It feels pushy for one friend to recommend another buy something out of the blue.

Most content that gets shared will not have a call to action, or at most, a very weak one, such as signing up for more information.  Content that appears to be direct marketing will be shared little. People are less inclined to recommend things that have strings attached, that mixes friendship with commerce and feels like multilevel marketing. People don’t like feeling they are being nudged to do something, or feeling they are being taken advantage of. The sharing party has a reputation to maintain, of caring about the friend’s needs, not just their own pet interests.  While there is some variation in these social norms, people have a strong need to feel they are in control, rather than answering some else’s agenda.

Audiences need to care about your content

Even interesting, useful content that gets shared may not have an impact if the receiving party doesn’t look at it closely.  For the content to have impact, the receiving party needs to care about the content.

People face many choices when encountering content.  These choices indicate how much they care about the content.  Sharing content involves two basic steps, each with a series of associated decisions:

  1. The choice by the sharing party to share the content
  2. The choice by the receiving party to view the shared content

Someone encountering content will decide whether to ignore it, glance at it, or read it thoroughly.  From the brand’s perspective, it is vital that the content is read throughly, since it indicates stronger engagement that can shift perceptions.  After reading the content, the reader decides if she is done with the content or not.  She can save the content to use again later, or she may choose to share the content with friends or family.  It doesn’t matter if the content is shared through social media like Facebook, or simply email, as long as the intended recipients can access it easily.  The sharing party may also choose to add a note explaining their interest in the content.

The receiving party can ignore the content, glance at it, or read it thoroughly.  He may choose to respond to the sender with comments, developing a discussion around the content.  He may even refer the content to someone else.

Content creates an impact the deeper people engage with it, when they absorb the content and not just skim it.  As Nielsen notes, most pages are viewed for only 10 or 20 seconds. People get little value from most content they encounter. Audiences can be tough to please, but brands have a huge opportunity to distinguish themselves from the prevalence of ignorable content.

Content creates an impact when the receiving party has their perceptions in some way touched by the content they receive from friends.  If they discuss it, they likely thinking about how to apply it to their lives.

Content sharing also carries more impact when it seems like a personal recommendation, rather than an FYI.  The more the sharing seems like a recommendation, the more trustworthy it appears, and the more value it carries.  Some signals that the content shared is a recommendation is that it is unusual in some way (the sharing party doesn’t routinely share this type of content) or the sharing party offers personal comments, or engages in post-sharing discussion.

Design content that’s inter-personal

Some content invites discussion. To get a discussion started, create content that is intrinsically discussable: content that’s inter-personal. Consider creating content that provides for different perspectives, or include a discussion guide with questions.

Think about what people want to discuss with their peers.  People tend to have ties with others who are like them (a phenomenon known as homophily) and therefore are likely to share content with people who have similar interests, and similar ways of looking at things.  These people may not feel they belong to a formal “community” centered on a topical interest, but they will generally have common friends within their social circle who provide a ready forum for discussion.

People most often share news stories that are emotional, especially when stories are happy (creating attraction) and interesting (creating surprise), according to research by Sonya Song.  Brands can leverage these insights by developing aspirational content that defies expectations – content with hope.  Sharing is more common for stories that present problems and their resolution, compared with strictly factual stories.

The most important goal is to inspire trust in your content.  The more trustful that people perceive your content, the more they will share it with friends.  With cynicism pervasive, trust is precious.  When people discover something they didn’t know previously and are willing to share that with people who are like themselves, they show they trust the information.

How to improve content impact

There is no simple formula to create meaningful content that is valued and recommended.  Be wary of trying reliable gimmicks to drive up click through rates.  There are many techniques to create teasing headlines promising exclusive information (“6 free benefits you can’t afford to miss.”)  Such headlines tease without informing.  These tactics can get content noticed, by sensationalizing and over promising, but they undermine the content experience, and damage the brand as well.  As audiences get saturated with such subtly manipulative headlines, credibility is even more essential.

The best way to improve the impact of your content is to look closely at the patterns of usage in your content.  The best indicator that content is valued is when readers have spent an above average time on pages for a certain type of content, a longer than average dwell time.

Examine available analytic data to determine what kinds of content are being shared routinely, and what kinds of content are not being shared often.  This data can come from your web analytics, social media analytics, and data from referring sources and link sharing services.

For types of content not being shared, look for content with large numbers of page views.  Determine that these pages are being actually read rather than merely “viewed”: that they have a dwell time appropriate for the size and complexity of the content.  For content that is being used but not being shared, try to determine everything you can about the audiences using the content, and their social media usage, to see if there are opportunities to position the content in a way to encourage easier sharing.  Also do a content audit to see if the content is lacks the qualities of meaning that people expect when they share and talk about content.  Perhaps the content is too dry and factual, is unremarkable, and does not generate discussion.

For content that you believe is valuable but is not being shared, try to uncover why people don’t share it.  Confirm that people feel the content is as valuable as you do, and probe into why they share content in general, and how they feel about sharing your content.

For the kinds of content you offer that does routinely get shared, explore any difference in audience segments as to how frequently they share content, or the specific types of content they choose to share.  Compare these patterns with your goals for the audiences you seek to reach.  Notice if you are missing any key audiences, or if a lower priority audience segment accounts for a large portion of the sharing.  Examine any significant variations in the types of content different audience segments choose to share.  If a certain type of content is not popular with a segment that shares other types of content, make sure that difference is warranted.  Social network analysis can sometimes reveal other interests of audience segments.   Sometimes you can address those interests in your content where you find they relate to your brand.

The more you understand why segments choose to share content, the more you will be able to optimize your content.  By comparing what is happening with your goals for each audience segment, you can work on improving the performance of your content.

Audience satisfaction can be inferred through analytics, but it is useful to get other kinds of feedback.  Try small experiments to test hypotheses.  Talk directly with customers about your content, their needs, and how they relate to content.  Also, try to test how well your content creates unaided recall.  Try to work to improve the memorability of your content, just as TV advertisers do.

By knowing more about why content performs as it does, you can act more strategically, focusing on high value priorities.  Over time, you will improve and get a better sense of how likely it will be that a certain kind of content will be shared by a certain audience segment.

Content sharing plays a crucial role in content strategy.  It helps brands build relationships with customers and prospective customers.  At the heart of content sharing is how content is valued, and discussed.  Improving content sharing requires a sustained effort.   Customers will notice that they find your content is valuable and want to share it, and the perception of your brand will benefit as that happens.

— Michael Andrews