free tool
is anyone actually using that feature?
three numbers: active users, how many tried the feature, and how many came back to it. the second ratio is the one that tells you whether it stuck.
adoption rate
18%
repeat use
45.6%
never tried it
4,100
repeat use is the number to watch. a first click can come from curiosity or an announcement; coming back means the feature earned a place in someone's work.
the formulas
adoption rate = feature users ÷ active users in the period. repeat-use rate = users who used it again ÷ feature users. the first tells you how many people found the feature. the second tells you how many found it useful, which is the question you actually launched it to answer.
pick the denominator honestly. if a feature only makes sense for admins, divide by active admins, or the rate will look terrible for reasons that have nothing to do with the feature.
why launches quietly flop
most features that nobody uses weren't bad. people didn't notice them, didn't see what they were for, or couldn't find them again the second time. the usual fix, an announcement modal, has a problem of its own: Chameleon's data shows modals get dismissed nearly half the time. we wrote more about this in why nobody uses your new feature.
what tends to work is help at the moment someone is trying to do the job the feature is for. with heytappr, a user asks how to do the thing, and gets walked to the feature on the real screen, which is exactly the moment it can earn a second use.
questions
How do you calculate feature adoption rate?
Feature adoption rate = users who used the feature ÷ active users in the same period. If 5,000 people were active last month and 900 used the new export, adoption is 18%.
What is repeat-use rate?
The share of feature users who came back and used it again on a separate day or session. It separates curiosity clicks from real adoption.
What is a good feature adoption rate?
It depends on who the feature is for. A feature meant for admins will never reach most users. Compare a feature with its intended audience and with earlier launches, and watch repeat use more than first use.
Why do announcement modals not drive adoption?
Many get dismissed before they're read. Chameleon's data shows modals are dismissed nearly half the time. Guidance that appears where the job happens, or when the user asks, tends to work better.
the other calculators