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model-traits-worksheet.md

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Model Traits worksheet

A model is likely to be described by a number of different traits. Review the list below and choose which one applies to the context you are working on or think of your own traits.

Trait Heuristic
Specification/Draft Model Produces a document describing a job/request that needs to be performed. Example: Advertising Campaign Builder
Execution Model Performs or tracks a job. Example: Advertising Campaign Engine
Analysis/Audit Model Monitors the execution. Example: Advertising Campaign Analyser
Approver Receives requests and determines if they should progress to the next step of the process. Example: Fraud Check
Enforcer Ensures that other contexts carry out certain operations. Example: GDPR Context (ensures other contexts delete all of a user’s data)
Octopus Enforcer Ensures that multiple/all contexts in the system all comply with a standard rule. Example: GDPR Context (as above)
Interchanger Translates between multiple ubiquitous languages.
Gateway Sits at the edge of a system and manages inbound and/or outbound communication. Example: IoT Message Gateway
Gateway Interchange The combination of a gateway and an interchange.
Dogfood Context Simulates the customer experience of using the core bounded contexts. Example: Whitelabel music store
Bubble Context Sits in-front of legacy contexts providing a new, cleaner model while legacy contexts are being replaced.
Autonomous Bubble Bubble context which has its own data store and synchronises data asynchronously with the legacy contexts.
Brain Context (likely anti-pattern) Contains a large number of important rules and many other contexts depend on it. Example: rules engine containing all the domain rules
Funnel Context Receives documents from multiple upstream contexts and passes them to a single downstream context in a standard format (after applying its own rules).
Engagement Context Provides key features which attract users to keep using the product. Example: Free Financial Advice Context