Identifying Features With High Discovery but Low Habituation in B2B SaaS
Separate activation from retention to diagnose whether users can't find features or won't use them.
Priya Ravenscroft
Section
Feature Usage Analysis
7 stories in Feature Usage Analysis.
Stickiness Analysis for Collaborative Features in Multi-Seat Accounts
Standard stickiness metrics hide collaborative feature failures in multi-seat accounts.
Tomás Delgado-Wren
Feature Retention Curves at the Individual User Level
Individual-level curves reveal why users leave, not just that they do.
Selin Kavrakoglu
Measuring Repeated Successful Use as a Habituation Signal
Habituation requires repeated use over time, not just one-time activation.
Marcus Oduya
Activation Thresholds for Individual Features vs. Whole-Product Activation
Whole-product and feature activation measure different things and need different thresholds.
Tomás Delgado-Wren
Feature Discovery Rate Measurement in SaaS Products
How to measure feature discovery in ways that actually reveal what's broken.
Tomás Delgado-Wren
Sunset Criteria for Underused Features Based on Behavioral Data
Define exit criteria upfront to retire features that usage data shows truly don't matter.
Tomás Delgado-Wren