Understanding how features drive value

Shipping new features is only half the battle. The other half is knowing how they are used — and whether they actually move metrics. Many teams rely on scattered logs, partial analytics, or anecdotal feedback to understand adoption.

Without a clear picture:

• Product decisions are guesswork

• Churn risks go unnoticed

• Teams duplicate development efforts or optimize the wrong areas

How Mage changes it

Mage orchestrates usage data, CRM feedback, and operational logs into repeatable, auditable workflows:

• Collect event streams from product platforms, support tickets, and customer success tools

• Normalize usage events and map them to features or campaigns

• Calculate adoption metrics and engagement trends

• Deliver dashboards and alerts for early detection of feature friction

What this looks Like in practice

• Product managers see which features are truly driving engagement

• Customer success teams identify at-risk customers before churn occurs

• Growth teams optimize onboarding flows based on real usage data

Outcomes

• Improved adoption and engagement insights

• Faster reaction to user pain points

• Data-driven feature prioritization