Presentation is loading. Please wait.

Presentation is loading. Please wait.

Defining Success and Measuring Engagement Tom Jelen & Andy Steggles.

Similar presentations


Presentation on theme: "Defining Success and Measuring Engagement Tom Jelen & Andy Steggles."— Presentation transcript:

1 Defining Success and Measuring Engagement Tom Jelen & Andy Steggles

2 "Even though many new online communities are formed each year, only a few turn out to be a viable platform for both discussion and support." - F.J.M. van Varik and H. van Oostendorp (2013) Institute of Information and Computing Sciences, Utrecht University 2

3 3 What are the traits of a successful online community? Photo credit: jepoirrierjepoirrier

4 "In most online communities, 90% of users are lurkers who never contribute, 9% of users contribute a little, and 1% of users account for almost all the action." - Jakob Nielsen (2006) Nielsen Norman Group 4

5 5 What does “engagement” mean? Photo credit: Melody Joy KramerMelody Joy Kramer

6 “Approximately 61% of newcomers received a reply to their initial post, and those who got a reply were 12% more likely to post to the community again.” - Elisabeth Joyce and Robert E. Kraut (2006) 6

7 7 How do you get people to come back? Photo credit: Scott AkermanScott Akerman

8 8 How does your community measure up? Photo credit: Scott AkermanScott Akerman

9 9 OrganizationMembersLaunchReport Date Duration (months) ACCC 14,0004/1/201111/21/201331 ASA 20,3855/13/201311/22/20136 ASHA166,00010/1/201111/26/201325 AUPHA 2,1139/1/200411/21/2013110 AXUG 12,4823/1/201311/22/20138 CRMUG 10,37710/1/201211/22/201313 DCAT 3,1681/14/201311/21/201310 FPA 23,0009/15/201011/21/201338 GPUG 13,7343/1/201311/22/20138 MBREA 5938/1/200911/25/201351 NAVUG 5,5097/1/201311/22/20134 NJSCPA 15,0005/10/201011/21/201342 SME 49,2741/1/201211/26/201322

10 Measure: % of Logged In Users that Agreed to the Terms of Use 10 Minimum Value80% Maximum Value100% Average92% Median93%

11 Measure: % of Logged In Users with Profile 11 Minimum Value7% Maximum Value37% Average21% Median20%

12 Measure: % of Logged In Users with Photo 12 Minimum Value4% Maximum Value28% Average15% Median15%

13 13 Correlation of Duration to % of Logged in Users with Profile (r=0.5)

14 14 Correlation of Duration to % of Logged in Users with Photo (r=0.45)

15 15 Intro to Higher Logic’s Benchmarking Tool

16 Tom Jelen tjelen@asha.org @tomjelen Andy Steggles andy@higherlogic.com tjelen@asha.org andy@higherlogic.com

17 17 References: van Varik, F.J.M. and van Oostendorp, H. (2013), Enhancing Online Community Activity: Development and validation of the CA framework. Journal of Computer-Mediated Communication, 18: 454–475. doi: 10.1111/jcc4.12020 Nielsen, J. (2006). Jakob Nielsen's Alertbox: Participation inequality: Encouraging more users to contribute. Retrieved November 26, 2013 from http://www.useit.com/alertbox/participation_inequality.htmlhttp://www.useit.com/alertbox/participation_inequality.html. Joyce, E. and Kraut, R. E. (2006), Predicting Continued Participation in Newsgroups. Journal of Computer-Mediated Communication, 11: 723–747. doi: 10.1111/j.1083-6101.2006.00033.x. Photo Credits: All photos are licensed under a Creative Commons Attribution-ShareAlike 2.0 Generic licensed. Jean-Etienne Minh-Duy Poirrier. Happy people in Happyland. Retrieved November 26, 2013 from http://www.flickr.com/photos/jepoirrier/5878692222/. http://www.flickr.com/photos/jepoirrier/5878692222/ Melody Joy Kramer. Jackie's engagement ring. Retrieved November 26, 2013 from http://www.flickr.com/photos/mjkmjk/3391722755/. http://www.flickr.com/photos/mjkmjk/3391722755/ Scott Akerman. Ruler. Retrieved November 26, 2013 from http://www.flickr.com/photos/sterlic/4299631538/.http://www.flickr.com/photos/sterlic/4299631538/ References & Credits


Download ppt "Defining Success and Measuring Engagement Tom Jelen & Andy Steggles."

Similar presentations


Ads by Google