Yes, 100% this. It doesn't matter how good the tool is (and so many knowledge-management tools are
not good), you need the processes and organizational habits in place to make knowledge management a success.
Effective knowledge management practices are something we think about a lot at Spoke (https://www.askspoke.com). We've studied other companies' practices and have come up with some organizing practices/principles:
1. Adopt the right tools:
- Adopt cloud-based knowledge management tools that are simple to use. If new tools are overly complex, no one will use them.
- Find solutions integrate with the applications employees are already using. (Be where employees already are, like Slack.)
- A central source of information is best. If knowledge is spread across multiple tools, it will still be difficult for people to find.
2. Take advantage of new technologies:
- Adopt tools and technologies that use AI to process and catalog resources. Ideal solutions may automate the processes of updating knowledge and/or automatically categorize and tag new content to make it easier to find.
- Look for tools that use machine learning to improve as data is collected. Machine-learning technologies learn how people search for certain types of information, getting better over time at helping users find the exact information they’re looking for.
3. Document important processes:
- Set aside time once a month for employees to create documentation on the tasks they’re responsible for.
- Save all documentation on the cloud or some other shared server so everyone has access to it and to prevent document loss.
4. Find creative ways for employees to share tacit knowledge:
- Establish a mentor program that pairs new hires with long-time employees.
- Make sure managers know how to perform the most critical tasks that their teams are responsible for.
- Set aside time for employees in related roles to cross-train. This will expand institutional knowledge, provide a source of backup when employees take time off, and reduce the likelihood of total knowledge loss caused by unexpected turnover.