So as you might have guessed, this is our April fools contribution to the Jive community. Hopefully you all agree that the result of a usability study on Jive shouldn't be the reintroduction of Clippy, the Microsoft Office Assistant. That being said, if you need support around community adoption my colleagues at Pokeshot and our friends at JCS Consulting and Social Edge Consulting might be able to help.

In case you are interested, the reports come from our Splunk integration for Jive, details here Insanely great Reporting and Analytics for Jive

And yes, if you really want to embed Clippy, Merlin, Rover and Links into your Jive environment, we'll happily share the code with you for a donation to a charity of your choice. We do suggest, however, that you run this by your management and maybe also your therapist.

I'm using Comic Sans!

 

 

 

We all know and love that Jive is an extremely powerful and well thought out Social Business platform. However with great power comes a great … amount of end user training.

In our roles as community managers we constantly trying to find the right balance between traditional end user training (classroom, eLearning, training videos) and community driven training. Classroom training feels anachronistic, given the fact that Jive borrows a lot of UI paradigms from widely used social media sites. However, a purely community driven approach to end user training also has problematic areas, when users simply don’t “get” Jive and often stop using it very rapidly.

 

To solve this issue once and for all, we have conducted the biggest independent user experience analysis in the history of the Jive platform. Touching over 2 million end users (10% of Jive’s overall user base) at some of the largest and most respected companies that use the Jive platform, the project team consisted of 15 user experience designers, human-machine interface scientists and Jive consultants. Working full time over a period of nine months we interacted with close to 150 Jive community managers.

Besides conducting over 3500 ISO 9241 controlled usability tests with new and experienced Jive users in 23 countries, we analyzed a whopping 52 Terabytes of Jive Analytics and activity data using a custom developed big data analysis solution running on a 256-node Hadoop/Mahout cluster.

The results of the study are, to be honest, absolutely amazing. We’ll release the full 744 page report later this week. It is a truly fascinating read.

Chart1.png

Chart showing distribution of user questions to different activities in Jive

 

chart2.png

Average weighted activities of approximately 2500 new users in their first week of Jive usage

 

However, we didn’t stop there. Using the results we were able to develop a solution that dramatically improves the learning and onboarding experience of new Jive users, and allows experienced Jive users to leverage the platform in ways we hadn’t thought possible. To make this available to the widest audience possible, we developed it for all Jive versions starting with Clearspace 2.5 up to the latest Jive Cloud versions.

 

Introducing:

 

The Jive Assistants

 

Please let me introduce:

clippy.pngmerlin_teaser.pngrover_teaser.pnglinks.png
ClippyMerlinRoverLinks

 

Jive Assistants are powered by a next generation artificial intelligence system that accurately predicts what the user plans to do within the Jive platform. Through this technology we are able to make meaningful suggestions for action and provide context sensitive help anywhere in Jive.

A few examples:

screen1clippy.png

Clippy, making himself comfortable on your Jive homepage


screen2_clippy.png

Example of a contextual action. Clippy knows you are searching for something

 

screen3_link.png

Never write a message alone again. Links happily types along with you.

 

screen4_writedoc.png

Clippy is here to help, in case need support for that important TPS report. I can’t imagine what I would do without him anymore.

screen5_save_link.png

When Links saves a document with you, you know it is saved! Just look at how organized that cat is.

screen6_tags_merlin.png

Tag suggestions are so much more relevant with Merlin helping out

 

Admit it: You missed this:

 

screen7_acclaim_rover.png

Community acclaim is much more rewarding when Rover chips in.

 

Conclusion

So there you have it. Social Business, big data analytics, cloud computing and artificial intelligence hard at work to make training in Jive so much more relevant.

 

Jive Assistants are actually a real thing, made possible by the awesome work from the people at http://www.smore.com with their clippy.js library.

 

Jive Assistants can easily be included in your Jive instance via a theme. For a small contribution to a charity of your choice, we’ll happily share them with you.

In our next blog post, we’ll talk about using http://www.cornify.com to improve community engagement.