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Research Outline
Prepared for Research B. | Delivered March 14, 2020
Adoption Metrics
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Goals
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.
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Early Findings
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.
W
h
e
n
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.
The
average time spent with the product
is a good measure of how successful the implementation of the product has been.
Adoption rates can be
improved
by product education, being proactive, and better on boarding.
Summary
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.
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