To determine current reliable and valid user adoption metrics that predict the likelihood of users adopting new systems, tools, or processes. The information will be used for implementation in user experience work.
There are four types of user adoption. Internal adoption is when existing users start to use new features. External adoption is when existing users start using existing features. Adoption flags are when new users adopt new features. A green flag is raised when they are successful. Routine adoption is when existing users adopt existing features.
The formula for calculating the adoption rate is number of new users / total number of users. When measuring the adoption rate, it is important to use the number of potential users not the total number of employees.
Time to first key action measures the time it takes for a new user to use a new feature.
Adoption rates can be improved by product education, being proactive, and better on boarding.
There is a considerable amount of information available regarding adoption rates. The difficulty is that much of what we have identified appears to be superficial. Any attempt to get more comprehensive information was unsuccessful, with companies requiring either a sign-up or representative contact. Given this, we suggest a change in direction for future research.
Only the project owner can select the next research path.