There have been several discussion I have had in the last few days regarding Internal communities. Most recently I was involved in a discussion with 3 folks: One person works for a very large software provider and is in the process of trying to build an internal sales community of over 1000+ people. Another person was responsible for a marketing community (collaboration) for over 50 support personnel. The third was trying to put together a collaboration intranet (not a regular intranet) of all their employees for technical document sharing and discussion.
Regardless of size they all had two questions that were consistent across the board:
1. How do we manage data growth (document, messages, asset) to ensure that we dont have to filter through a lot of useless, outdated information before we get to the right content?
2. How do we ensure automated excerption of comments and messages so we dont have to read a lot of useless information before we get to the 3 sentences that matter?
Most people cannot read a post like this with so many comments, that its hard to understand the top 3 points for and against.
I am going to tackle the first question now and cover the other question later.
At my previous company our internal collaboration content management system was a black hole. Everyone would say “you will find it on the discussion board” as the answer to every question, but the person searching would end up:
1. Getting 3 versions of the same post each dated differently but with slight variations. E.g: A thread which tells the release date changed 3 times on 3 dates, but the last updated date would be wrong.
2. Get too many posts but still not the right information. There would be 10 replies to a question but 90% or worse all would not still answer the question at all.
3. Multiple different discussions from different authors with conflicting data – the engineering VP would put the release date as 3/15, the release manager would have another document with the date as 4/15 and the product manager would have a third date, 3/30.
1. Encourage user tagging: Without making it extremely onerous, the best way to stop data growth and conflict is at the source. Tagging is a great means to ensure that similar documents are clustered appropriately. Ensure that content publishers can put the right content upfront and tag it appropriately.
2. Setup an active purging and archiving policy. There will be multiple discussion threads and comments, and multiple statistics have proven that there is a 80% to 20% noise to signal ratio on all message boards. An active policy ensures that it is granular by type of board, time elapsed and audience type of the participants.
3. Engage first then facilitate, finally moderate: Get internal users to participate. The best killer for any community is lack of participation. Then get the party going by encouraging (positive reinforcement of good valuable content, finally moderate unnecessary (or repeated) comments. No point in having 100 people having the same answer to the question or replying “RTFM”.
What are best practices that work for you? Let us know.
Michael Krieg from 