Archive for April, 2008

The Benefits of Mixing Branding and Usability in a Design

Making a website memorable is not an easy task, competitors are everywhere and everybody wants users to remember their brand. That’s the most logical reason why every website would need a brand with its proper logo. But that’s not the only reason.

Including branding in the whole website design could also improve usability, making a particular website a more comfortable place to surf through. Many companies are taking advantage of this, Apple, for example, is not only successful because of a beautiful design but they also combine easiness and first class interaction design to the whole branding and marketing strategy on the web.

In this bread crumbs example the Apple logo shows the user the safe way back home:

Apple Bread Crumbs Design

 

Tag Line

Adding a tag line to the logo is another way to improve the overall website usability and could also have a direct impact on visits. The message to deliver here is called the “value proposition” and the aim is to tell users what the goal of your site is (e.g. what you are selling!). If the user is not able to figure out fast what the site is about, he or she might leave to never come back.

The tag line is usually placed below the logo or very close to it. It should be a short phrase explaining in a very easy language what the website has to offer. It also has to be precise and should not use estrange words, like site-related ones.

Wikipedia makes very clear what the website is about. The free encyclopedia.

Wikipedia Logo With Tag Line

 

Is Safari a website about trips in Africa or is it one dedicated to a web browser? This tag line does not confuse users, it tells them straight away that this site has online books. 

Safari Logo With Tag Line 

 

Sometimes the tag line is integrated into the website functionality. For example, del.icio.us places the logo, the company name and the most meaningful link of the website together. "Your bookmarks" gives a strong message.

 Del.icio.us Logo With Tag Line

 

Logo position 

Logo position is another example of how branding could improve usability. There is a tendency to place the logo on the upper left corner, but that’s not the most important issue regarding the logo position. The key is to place the logo in the same place website-wide. That will orientate users and remind them that they are still in the same website.

 

At Amazon, the logo stays in the very same place through the entire website.

 

Amazon Logo Position 01
Amazon Logo Position 2
Amazon Logo Position 3 

 

The user experience as brand

More is less, right? This is true for many fields but specially for web design as adding links, buttons, features, information and pictures is always tempting. More than designers, [many] programmers have the opinion that if a feature is available it should be presented to the user. User tests prove that that could be dangerous.

The aim of any product should be to create a positive user experience, something that users will consciously or unconsciously notice and appreciate. Usability has a strong impact on the user and that’s why it could be used as a branding approach. Branding is the packaging for a particular idea, like an easy to use and effective search engine could be. The following pictures show two websites offering basically the same service. But which brand has more value for the user? the one filling the page with features?

Excite Brand

Google Brand



Emails, usability and branding

Emails are part of the website design and they could improve the overall user experience, here the brand could also be an important tool to help users. A key issue is the brand (the company name) included in the sender field of every email sent by a website. It seems to be obvious but many websites send notifications with the sender field "mail robot" (notice that many users would label that as spam.)

In this email client screen shot it is possible to see the sender field in the first column and the subject in the second column.

Germanwings Usability on Email Example

 

Germanwings, an airline, places the company name in the sender field of each email. But they have variations:

Germanwings > This means "advertisement", it could be deleted,

Germanwings Schedule Cha. > This means that the email contains very important information,

Germanwings Booking > Meaning that this email could be saved (and retrieved) for later reference.

The impact of using these techniques could be huge as they could prevent user from deleting important information and save a big amount of money in live customer service.



Trust

Giving users a feel of trust is something that could be done through a good design and attaching the idea of trust to a brand something usually desirable. One approach is to encourage trust through security features shown on a website.

A good label for the login button could improve a website and brand trust. Like at Amazon.com:

Amazon Login Button Label



If a person knows that undoing a buy is easy (and possible) the trust a customer has for a service will be increased. For example at Wal-Mart deleting products from the shopping cart is easy:

Wal-Mart Shopping Cart Design

 

Conclusion

Mixing branding, usability and good design could be a winning combination that could help users understand a website and make a brand memorable. Assisting customers with a simple design makes their life easier, if that is done embedding the company branding strategy, it could give a strong message of trust that will bring more visits and sales. 

Popularity: 24% [?]

Should A Website Design Show Its Precious Algorithm?

One of the great things about web2.0 is the use of social power to create product recommendations. For example, Amazon.com recommends books from similar authors and Last.fm recommends similar artists.

It’s more than magic

Behind those recommendations there are [usually] complicated algorithms looking for recommendations patterns and similarities among users.

In my opinion there are 3 important issues regarding recommendation algorithms:

1. The more users a website has, the better the recommendations.

2. The more users a website has, the higher the calculation price,

3. Should a website show users how the algorithm works?

There are different approaches  regarding the last point. Should the algorithm be kept as something precious that other websites should not access? An algorithm could improve its performance if the user gets at least some information about the way it works (see Amazon example). On the other side, letting users know about the algorithm could make the recommendation system hackable and someone could take advantage of that to promote his products.

This issues should be kept in mind at the moment to decide to show information or questions to improve the algorithm:

1. Making questions to users could make the system hackable (negative).

2. Hiding those questions would make a website look smarter and additional usability problems could be avoided (positive).

3. Not making those questions could decrease recommendation quality (negative).

Below there are some examples of recommendation algorithms embedded in websites design. 

The Amazon.com approach

Amazon show recommendations everywhere, they do that also as a marketing tool because they know that users love recommendations.  Amazon is so good recommending because they have a huge base of customers buying all those products to recommend. They also have a good algorithm but they don’t hide it as a precious secret, note "These recommendations are based on items you own".

Amazon Algorithm A

 

This is very important: Amazon is recommending a book because the user bought a "similar" one before. Amazon knows that recommending this way is dangerous and it offers a way to fix it.

Amazon Algorithm B

 

Here there is a pop-up window to solve the potential problem. Amazon might be recommending a book because the user bought a similar one, but that one could have been a gift for another person.

Amazon Algorithm C

 

Amazon is not only showing a part of how its algorithm works but it also asks users for input to improve results. Here there is another important thing to check: is it OK to ask users questions to improve website recommendation algorithms or should these algorithms be intelligent enough to avoid bothering users?

Amazon Algorithm D

 

The Amazon recommendation algorithm in action:

Amazon Algorithm E

 

The Last.fm approach

Last.fm, the music recommendation website, adopted a different design solution. At it, users don’t know where the recommendations come from. One might guess but nobody really knows if those artists are there because the user likes other similar artists or because someone is paying to push artists into that list. There is no message like "we recommend Shakira because you like Beyonce".

A valid approach? Last.fm makes a good job recommending music without disturbing users. On the other side this kind of state of user ignorance could be translated into a drop in trust.

Last.fm Recommendations A

 

Last.fm also has a radio set for each user with special recommendations. Here the recommendation algorithm behavior could be easier guessed, the player has controls to "love" or to ban a song. There is a serious problem here, once you ban a son there is no way back.

Last.fm Recommendations B  

 

StumbleUpon

StumbleUpon is a web browser plugin that let users discover new websites based on recommendations and ratings done by other users and the user himself. StumbleUpon works fine and improves the recommendation quality as the user rates more websites.

Like Last.fm, StumbleUpon also decided not to show the user why a particular website was recommended to him.  In this case the algorithm might be too complicated and [I guess] they decided to improve usability taking out additional information. But keep in mind that a lack of information also negatively impacts on usability and trust.

StumbleUpon Bar Recommendation Algorithm

 

External Resources About Recommendation Systems

- Amazon.com Recommendations: Item-to-Item Collaborative Filtering (PDF file)

- How Netflix Recommendations Works

- Recommender Systems on Wikipedia

Popularity: 62% [?]

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