How we improved the approval workflow in our corporate Wiki
At WikiMind, we structured cases as a decision base: situation → solution → business impact → cost. We added a clear approval workflow, auto-numbering, and tag autocomplete.
In WikiMind, we structured case studies so they wouldn't be an “archive for the sake of an archive,” but a real knowledge base of decisions: situation → solution → business impact → cost. In other words, not just “what we did,” but what it delivered in terms of time and profit — without that kind of transparency, you can't really get by anymore, especially when everyone is chasing efficiency.
We made the workflow straightforward: submitted → approved / rejected / needs revision. We added auto-numbering and tag autocomplete so editors wouldn't have to deal with chaos like “финансы”, “finance”, and “фин.отдел”.
In practice, we turned employees' personal experience into organizational knowledge. If before a solution lived “in Petya's head,” now it can be searched, approved, and reused without having to go on a quest through chat threads.
The next layer is data, caching, and search: without those, a corporate Wiki simply won't take off today.