Features: conversion points and KPIs

When analyzing the success of your features, there are two things you need to think about:

1. Feature adoption – the number of users who use a feature properly for the first time
2. Feature usage – the frequency with which a feature is used

To help make sense of adoption and usage across all your features, it's important to use a consistent set of conversion points and key performance indicators (KPIs). You can then study features individually, as a whole, and in comparison with each other.

In this context, feature usage can also mean a specific way of using a feature. After all, if you were looking for patterns in a user's diet, "ate broccoli" would be different to "ate chips". So the type of feature usage you're looking to improve should be evaluated here too.

Conversion points

Feature viewed

The user viewed the feature and is aware of it.

Feature used

The user has used the feature.

Feature used X times

The user has used the feature X times.

Feature used X times in Y duration

The user has used the feature X times in a day, week, month, or other time frame.

Comparisons

Track all the conversion points above to see how usage compares for each of your features.

Key performance indicators (KPIs)

Feature usage %

% of active users who used a feature.

Total feature usage %

% of active users who use at least X of the main features.

Superuser benchmark

% of active users who use more than X features.

Feature usage amount

% of active users who used a feature more than X times.

Feature usage pattern

% of active users who use the feature more than X times in Y duration.