Identifying Underadopted Features Worth Rescuing vs Retiring
Diagnose low adoption by separating discoverability failures from value failures.
Marcus Oyelaran
Adoption Signals
Behavioral Cohort Analysis for Feature Adoption Diagnosis
Segment users by behavior and access to diagnose why features aren't actually adopted.
Daniel Cho
Behavioral Triggers That Should Fire an AI Adoption Intervention
Know which behavioral signals actually warrant a message, not just any change in activity.
Solvei Tandberg
Top AI-Powered Customer Adoption Platforms for B2B SaaS Teams
AI adoption platforms fall into five distinct categories, each solving different problems.
Marcus Oyelaran
AI Agents vs Rule-Based Automation in Product Engagement
AI agents decide whether to act by reading context; rules just match conditions and fire regardless.
Marcus Oyelaran
Human Escalation Design in AI-Assisted Customer Success Workflows
Escalation rules must be designed before AI acts, not written after problems surface.
Priya Nambiar
Scaling Personalized Customer Success Without Growing the CS Team
Automate routine work to free CS teams for high-value relationships.
Daniel Cho
AI Agent Personalization Using Combined Product and CRM Data
Combining product data with user behavior prevents AI agents from sounding wrong or tone-deaf.
Solvei Tandberg
Cancellation Flow Design That Recovers At-Risk Accounts
How to save canceling customers by fixing adoption problems before they hit cancel.
Priya Nambiar
Behavioral Data Instrumentation for Personalized Engagement
Most B2B SaaS teams have behavioral data but lack the triggered actions to convert it into revenue.
Solvei Tandberg
Sending Frequency and Fatigue Management in Behavioral Campaigns
Event-triggered sends still cause fatigue when the underlying signal quality remains weak.
Priya Nambiar
In-App Tooltips and Spotlights for New Feature Discovery
Behavioral triggers beat location-based ones for turning feature awareness into actual adoption.
Daniel Cho