KM Gamification—Holy Grail or Child’s Play?
Phil Green
Gamification can enhance KM adoption, and encourage ongoing usage. As these two items are critical to the success of any KM system, they deserve careful attention.
Performance and promotions
Some organizations tie performance reviews and/or promotions to meaningful KM participation. But can mid-level KM managers make this happen?
The answer is that top management advocacy is usually required, and this is often driven by a company’s culture and the desire to make knowledge sharing a critical part of that culture. But mid-level KM managers can work with Divisional Heads to push for the inclusion of KM participation as a performance input, and this can be effective, especially if you can demonstrate a link between division success and knowledge sharing.
While you definitely need top level support, remember that most reviews are done by line managers, so working with line management is also critical to making this effective.
Rewards and Recognition
Everyone should start with enabling recognition as part of a KM system. Recognizing participation and collaboration in KM systems is easy to do and does not require layers of management approval. But note that offering rewards is a great second step. Rewards (as in a bit of cash or a gift certificate) are a powerful way to reinforce KM participation. Recognizing participation is fun and motivational, but when an organization puts its money where its mouth is, this sends a strong message that KM participation is important.
Scoring systems
Many KM systems implement scoring systems as a form of recognition or in conjunction with badges. A key issue in scoring systems is that everyone needs to understand how to keep score. For example, a friend of mine is using a municipal/town website that uses scoring to encourage citizen involvement, but my friend has a lower score than other citizens, when from all visible measures she has higher involvement. This makes her feel like a Bernie Sanders supporter and that “the system is rigged.” So in this case the scoring is having the opposite of its intended effect.
So, let users know exactly how you are keeping score, and provide details of a user’s score in their profile.
Badge Complexity
Many KM systems use badges to recognize knowledge sharing activities, and some badging schemes are very elaborate. Badging tackles two separate problems: a) initial adoption, and b) ongoing participation.
During initial adoption, you want badges to convert the lurkers into contributors. You need to prime the pump and get everybody into the pool. Badges can help provide this motivation. Except when the first badge is something like “Newbie”—and now you have converted happily anonymous users into shamed users who have not done much in the system. That badge is like a scarlet letter. Oops! So choose your badge names carefully.
Simple naming conventions are often the best, and to promote ongoing usage, you need a ladder of levels. For example:
- No badge—user (or the dreaded lurker)
- Contributor—ask a question or share a document (denotes basic use of the system)
- Collaborator—answer a question (denotes more advanced use of the system)
- Expert—acknowledged guru and regular contributor / collaborator
In systems where you have problems maintaining momentum and ongoing participation, you may need more levels. This means more badges, since you want people always trying to get to the next level. But remember, you also want achieving the top badge to be hard, so it really is a badge of honor and conveys something special—and is something everyone can strive for, but few can attain.
Do you use gamification in your KM system?
Similar Posts
Only You Can Prevent Knowledge Loss: How to Practice “Knowledge Archaeology”
An overview of ways in which knowledge is lost, with examples of how to perform knowledge archaeology to recover and restore it.
Ready to Read: Profiles in Knowledge: 120 Thought Leaders in Knowledge Management
We are pleased to announce that Stan Garfield’s new book, Profiles in Knowledge: 120 Thought Leaders in Knowledge Management, is now available from Lucidea Press.
Lucidea’s Lens: Knowledge Management Thought Leaders Part 92 – Jay Liebowitz
Jay Liebowitz is a professor, consultant, author, and editor. His research interests include knowledge management, data analytics, intelligent systems, intuition-based decision making, IT management, expert systems, and artificial intelligence.
Lucidea’s Lens: Knowledge Management Thought Leaders Part 91 – Frank Leistner
The late Frank Leistner was the former Chief Knowledge Officer for SAS Global Professional Services, where he founded the knowledge management program and led a wide range of knowledge management initiatives up until 2012.