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    User Adoption

    30 Oct 2008 by Dean in Enterprise 2.0 / 3 Comments

    Since you can’t make a case for Enterprise 2.0 using ROI calculations, it’s tempting to rely on anecdotal evidence instead. Once the storytelling begins, it usually doesn’t take long before social networking sites like Wikipedia, LinkedIn or Facebook come up. But there’s great danger in using these sites as justification for Enterprise 2.0 investment.

    The Internet is not your intranet

    Consider Wikipedia. Looking at Wikipedia’s statistics and Alexa’s Internet traffic data, we find that out of the entire online population less than 10 percent visit Wikipedia during the course of a year. And that includes all visitors — the rates for people that contribute content to Wikipedia is a mere fraction of that.

    The numbers for other large websites are equally depressing. Using social network statistics from Jeremiah Owyang of Forester from earlier this year, MySpace and Facebook have 8 percent and 4 percent of the online audience respectively. What gives? Aren’t these the leading lights of Web 2.0?

    What makes these sites work is massive scale. You can take a “build it and they will come” approach if the population of potential users is large enough. In the case of the world wide web, we’re talking about 1.4 billion people according to Internet World Stats.

    But in an organization of 100 people, you’d be fortunate to get 10 people using the system and extremely lucky to have 3 people contributing information. Would a user adoption rate of less than 10 percent qualify as success in your business? I don’t think so.

    If you want your Enterprise 2.0 deployment to work, you have to focus on user adoption.

    Play to your audience

    The hard truth is that if you want an Enterprise 2.0 application to succeed, you must be prepared to sacrifice everything to delight your customers. And these sacrifices will include treasured organizational imperatives. You’ll have to do things like:

    • Annoy the corporate counsel by emphasizing sharing, not security
    • Irritate senior management by stressing flexibility over process
    • Anger “low badge numbers” by promoting expertise over length of service
    • Frustrate the IT department by favoring ease of use rather than ease of deployment

    You’ll find yourself in the midst of turf wars and political infighting. There will be squabbles over budget and resources. Change management and training will consume months, if not years, of your time.

    Sure, you can duck these issues, and take a “build it and they will come” attitude. And if you are fantastically lucky, you might just achieve the same adoption rate as LinkedIn: 3 percent.

    No related posts.

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    3 Comments

    • Yannick Pouliot

      Excellent points all, and very sobering. I hadn’t realized that the usage rate was so low for e.g. Wikipedia. Are there data that suggest that this kind of low usage rate observed with the general public also extends to specialized groups, such as scientists? We sell an expertise finding database that focuses on biomedical researchers (researchscorecard.com), and my suspicion is that the same behavior (low usage rate) would apply as well in such a setting.

      Thanks for a thoughtful analysis!

      27 Nov 2008 04:11 pm
      Reply
      • Dean

        Yannick, traditional market research tells us that you can boost the participation of particular groups. You could make the site content relevant to a particular audience or you could entice participants through clever advertising. These strategies have costs, however.

        And that’s really the message of my blog post. Unless you’re operating at vast scale and are satisfied with very low adoption rates, your readers, participants, and customers won’t come for free. That fact will force you to make some hard decisions.

        01 Dec 2008 09:12 am
        Reply
        • How Enterprise Search Sabotages Itself | Infovark

          [...] job was to battle the adoption problem. You needed a large base of employees contributing material to build the network effects. You [...]

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