Feature Adoption

Feature Adoption refers to the process by which users start using a new or existing feature of a product regularly. It is a crucial metric that indicates how well a product's features are being embraced and utilized by its users.‍

Why It Matters

In AI Product Management and general Product Management, understanding feature adoption is essential because:

- It impacts decision-making by highlighting which features are valuable to users, guiding future development efforts.
- It plays a significant role in processes, workflows, and team dynamics as it helps prioritize features that need enhancements or additional support based on user feedback.‍

How It’s Used

- Feature adoption data helps prioritize which features to focus on for future releases.
- Teams discuss adoption rates to ensure features align with user needs and business goals.
- AI models may use adoption data to predict feature success and user satisfaction.‍

Related Terms

- Feature Rollout
- Feature Toggle
- Feature Flag‍

Additional Resources

- How to Improve Feature Adoption in 2025 (+KPIs & Metrics)
- Feature Adoption 101: Definition, Metrics, Best Practices
- What is Feature Adoption? | Pendo