Structured Product Model
Small artifacts. One connected product context.
Product knowledge becomes difficult to use when behavior, data, interfaces and integration rules are buried in a few large documents. Reqode keeps each concern in a focused artifact with its own structure and purpose, then connects those artifacts into one navigable model.
People and AI agents can start from a stable artifact key, retrieve the context relevant to the task and follow explicit relations when they need the wider product picture.
What makes the model structured
Structure comes from clear responsibilities, typed content, explicit relations and stable identity. Not simply from splitting a document into smaller pages.
Focused
Each artifact describes one coherent part of product knowledge instead of mixing behavior, data, UI and API details in one document.
Typed
Every artifact type has a defined purpose, structured fields and guidance that make its content easier to create, review and verify.
Connected
Explicit relations show how product behavior depends on other requirements, data, interfaces and API operations.
Addressable
Stable keys make every artifact a precise entry point for navigation, collaboration, automation and AI-assisted work.
One behavior, several views of the same intent
An approval rule is not complete when it exists only as prose. The requirement states the expected behavior, while connected specifications define the affected state, user interaction and system contract.
If the approval rule changes, its relations reveal which product artifacts need review. An AI agent can start from the requirement and load this focused context instead of searching the entire project.
Approve an expense
An authorized manager can approve a submitted expense.
Submitted → Approved
Actions, states and feedback
Request, response and errors
Rules that complete the behavior
Different parts of the model answer different questions
Each part keeps the detail appropriate to its role while relations preserve the complete product context.
Modules
Group related requirements into understandable product areas that can be reviewed and managed as a scope.
Requirements
Describe expected behavior, outcomes, constraints and rules from the perspective of product intent.
Data Entities
Define domain data through attributes, values, relations and constraints that other specifications can reference.
User Interfaces
Describe screens, forms, dialogs, wireframes, states and transitions involved in the intended experience.
API Operations
Define requests, responses, errors and side effects at subsystem and external-system boundaries.
Types, Templates & Guidance
Adapt structures and authoring guidance to the product domain while keeping every artifact consistent with its role.
What the connected model unlocks
The model becomes operational when its structure helps a team understand, change and verify the product.
Focused AI context
Start from a requirement or specification key and retrieve only the connected knowledge needed for analysis, implementation or testing.
Traceable change impact
Follow relations to see which product rules, data definitions, interfaces and operations may need review when behavior changes.
Cross-spec consistency
Compare connected artifacts and detect when requirements, data states, UI behavior or API contracts describe different product rules.
Start with the structure you need
A structured model is not an all-or-nothing documentation program. Add detail where it removes ambiguity and makes the next product or engineering decision safer.
Model the intent
Begin with modules and requirements that describe the behavior and outcomes the product must provide.
Add focused specifications
Introduce data, UI and API artifacts where separate structure makes the behavior clearer and reusable.
Connect delivery and verification
Link the model to software units, source files, Test Cases, Change Requests and Findings without mixing every concern into one document.
Continue with Requirement-Centric Navigation, connect specifications to implementation through the software units layer, and use Continuous Verification to keep the connected context aligned.
Give people and AI the same product map
Create one structured product area, navigate its connected context and make every implementation decision traceable to product intent.