Adoption rate
Adoption rate is the proportion or pace at which intended users or organizations begin using a product, feature, technology, or practice.
Effective Platform Engineering
Adoption rate is the proportion of eligible users or teams that use a product, capability, or feature.
- How it is used
- Guides platform teams in testing whether features and platforms are relevant, useful, and worth sustaining.
- How deep it goes
- Defines adoption through platform-using teams or developers and connects tracking to onboarding problems without specifying a calculation.
- Examples
- Uses GUI adoption tracking, team migration timelines, and platform user counts as measurement examples.
- What you can do after
- Diagnose onboarding and platform-usage problems by tracking team adoption alongside migration timelines, surveys, and value metrics.
Read how Effective Platform Engineering explains adoption rate →
Natural Language Processing in Action, Second Edition
Feature adoption rate is the proportion or number of users who use a particular product feature.
- How it is used
- Measures chatbot feature popularity and outreach effectiveness through meaningful user interactions.
- How deep it goes
- Defines the metric, distinguishes meaningful interaction from signup, and connects usage tracking to approximate A/B testing.
- Examples
- Uses math tutor chatbot signups, message interactions, and a new question-answering or LLM feature.
- What you can do after
- Evaluate feature popularity and maintenance value by selecting meaningful events and comparing resulting usage.
Read how Natural Language Processing in Action, Second Edition explains adoption rate →
The Art of AI Product Development
Adoption is the extent to which intended users begin and continue using a product or feature.
- How it is used
- Aligns cross-functional AI work around whether users receive and continue receiving meaningful product value.
- How deep it goes
- Connects adoption to satisfaction, usability, feedback, trust, and governance without defining a calculation or measurement procedure.
- Examples
- Uses AI features, action recommendations, user feedback, model updates, and error communication as adoption-related product examples.
- What you can do after
- Evaluate AI products through adoption alongside satisfaction and usability, then iterate using feedback and transparent communication.
Read how The Art of AI Product Development explains adoption rate →
Related concepts
- meancontrasts with · A mean is a measure of central tendency, calculated as the arithmetic average of values or, for a random variable, as the probability-weighted average of its possible values.
- HEART frameworkpart of · The HEART framework is a user-experience measurement framework organized around happiness, engagement, adoption, retention, and task success.
- platform usagemeasures · Platform usage is the observed extent and manner in which users or teams use an engineering platform and its capabilities.
- natural language interfacemeasures · A natural language interface enables interaction with a system through human-language text or speech.
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