What Is Producore?
Keep the Product clear as the work changes
Producore is an organizational system for software Product development. It helps an organization keep the reasons a Product exists connected to what it must be able to do, how it must behave, the decisions that shape it, and the work and implementations used to build, operate, and change it.
Know what the organization is changing and why.
Understand the reach of a change.
Preserve what the organization learns.
That gives people a durable way to understand what is changing, why it matters, what else may be affected, and what must remain true as the Product evolves.
A Solution exists to solve a problem
Organizations create and sustain Solutions to solve problems for customers, stakeholders, or the organization itself. A Solution is the broader means by which one of those problems is solved.
For that Solution to work, people have to be able to accomplish something. They follow journeys, perform activities, and take meaningful steps toward an outcome.
A use case gives us one way to make that path visible. Imagine a membership retailer that operates both stores and fuel stations.
A customer arriving at a fuel station needs to do something very ordinary: refuel a vehicle. They identify their membership when required, select the fuel they need, authorize a payment method, dispense fuel, and complete the transaction.
Following that path lets us ask a practical question at each step:
What must the Solution be able to do for this step to work?
Use-case steps reveal the Capabilities a Solution needs
The fuel station has to be able to dispense fuel. It has to measure how much was dispensed. It has to determine the correct price. It has to accept payment. It may also need to recognize a membership, apply member pricing, provide a receipt, replenish stored fuel, and stop dispensing safely when conditions require it.
Producore calls an enduring required ability a Capability.
The use case helps us discover where those abilities are needed. The Capability itself is the enduring ability, not the step or implementation that happened to expose the need for it.
Consider the ability to accept payment. A store might once have relied heavily on a cashier and register. A fuel station may let a customer pay at the pump. The organization may later allow payment through a mobile application.
The mechanisms change. The underlying ability to accept payment remains.
The relationships among Capabilities also begin to appear as we follow the Solution. Charging the correct member price may depend on being able to determine whether the customer has a valid membership. Dispensing the correct quantity depends on being able to measure what was dispensed.
And the same Capability can matter in more than one Solution. The retailer’s store and fuel station may be different Solutions while both depend on the ability to accept payment.
As analysis follows use cases, meaningful steps, and later Scenarios, it can expose additional Capability needs and relationships that were not obvious at the start. Producore calls this discovery dynamic Capability Pull.
The goal is not to invent a complete Capability model in advance. Analysis of the Solution progressively reveals what the underlying reality requires.
A Capability also needs defined Behavior
A strong Capability description can tell us what ability is required, why it exists, what it enables, and where its responsibility lies. That leaves another important question:
How is the Capability required to behave under the different conditions that matter?
For payment, successful authorization is one situation.
A declined authorization is another.
A payment provider that cannot be reached is another.
Each raises a Product question: What is supposed to happen in this situation?
If authorization is declined, should the customer be able to choose another payment method? What information should they receive? What should be recorded? Under what conditions, if any, may the transaction continue?
If the payment provider is temporarily unavailable, is the expected response the same as a decline, or does the customer need a different recovery path? Those outcomes are Product expectations. They need to be understood and specified so Engineering can implement them and the completed result can be verified against the Behavior the Product actually requires.
A Scenario describes a specific situation and the relevant conditions in which a Capability may be exercised.
Behavior describes what that Capability is required to do under those conditions.
Scenario analysis can also continue Capability Pull. A Scenario may expose another ability that is needed before the required outcome can be achieved.
Suppose payment authorization is declined, but the customer should be able to choose another payment method without starting the transaction over. For that to work, the Solution has to keep the current transaction intact while the customer changes payment methods. The Scenario has pulled another Capability need into view.
The more closely the organization examines what actually has to happen, the more of the underlying Product structure it can see.
Capabilities are realized through people, software, equipment, and other means
Producore distinguishes a Capability and its required Behavior from the people, software, equipment, services, partners, or other mechanisms through which that Behavior is carried out. Together, those mechanisms constitute the Capability’s realization.
For software-realized Capabilities, Engineering owns the technical design and implementation used to satisfy the required Behavior and applicable constraints.
In our fuel-station example, an approved card-payment Scenario might involve the physical pump and card reader, station software, a membership service, pricing logic, a payment gateway, an external payment processor, transaction storage, and a receipt mechanism. One Scenario can therefore involve several realization elements.
The relationship also works in the other direction. The same payment service may participate in successful-payment, declined-payment, retry, and other Scenarios. It may also support both store checkout and the fuel-station Solution.
Now replace the card reader. Change the payment processor. Move some processing into a different service. Replace the station software that coordinates the transaction. Those changes alter how the Capability is realized.
They do not, by themselves, change the underlying ability to accept payment or the Behavior already required for the Scenarios the Product supports.
But changes in realization can also expose new Product questions. Suppose new technology makes it possible for customers to pay through a mobile application. That possibility could expose additional Scenarios or Capability needs. If the organization decides to support mobile payment, it also has to decide what Behavior the Product requires in those situations.
The organization may choose to support it now, later, or not at all. Existing Behavior that has not changed remains existing Behavior. If the Product does change, the new decision and its reasons become part of the maintained Product understanding.
This lets the organization evolve the realization and learn from implementation without silently allowing the current implementation to redefine the Product.
One path is part of a much larger Product structure
Our example started with one customer, one problem, and one use case. A real organization has many. Add the retailer’s stores. Add membership enrollment and account management. Add customer support, Finance, Operations, and other internal and external Solutions.
Some require Capabilities of their own. Some depend on Capabilities already used elsewhere. Capabilities depend on other Capabilities. Each Capability may have many relevant Scenarios and required Behaviors.
Decisions, constraints, rationale, work, and realization knowledge connect to different parts of the same structure. What began as one understandable path becomes a much larger connected Product reality.
Producore makes that structure explicit and durable
Across a real Product, these relationships do not form one simple chain.
They form a durable, multidimensional network in which meaning comes from both the things in it and the relationships among them. Different situations illuminate different paths and patterns through the same underlying structure.
Much of the knowledge represented by that structure already exists in capable organizations. It lives in people, Product discovery, use cases and journeys, requirements, decisions, architecture, work items, specifications, tests, source code, policies, procedures, operational knowledge, and other legitimate places.
That Product knowledge and the relationships that give it context need to endure because later decisions and changes continue to depend on them after the conversation, work item, project, team, or implementation that first carried them has changed or disappeared.
When they do not endure, people have to reconstruct what something is supposed to do, why it exists, why a decision was made, why another option was rejected or deferred, what constraints mattered, what must remain true, and what else a proposed change may affect. Producore provides the organizational system for making that Product reality explicit, connected, navigable, governed, and maintainable over time.
People can follow a Solution toward the Capabilities and Behavior it requires and onward toward its realization.
They can also begin with something in the current implementation and follow why it exists, what Behavior it helps produce, which Capability requires that Behavior, and which larger Solution gives it purpose.
That is the structural control Producore provides: the organization can work with the Product’s meaning and chain of justification directly instead of repeatedly reconstructing them from scattered evidence.
Producore does not start being useful only after a Product becomes large
A small, focused software Product can still have important behavioral boundaries, decisions, constraints, rejected possibilities, dependencies, and implementation choices. Starting with an explicit Product structure allows that understanding to develop with the Product instead of waiting until accumulated change makes reconstruction painful.
As the Product grows, more Capabilities appear. More relationships form. More people and teams become involved. Implementations change. Years of decisions accumulate.
The underlying need does not suddenly appear when the Product crosses some size threshold.
What changes is the cost of losing coherence.
What Producore lets an organization do
See current work in its Product context
Instead of seeing only that a team is changing a service, screen, database, or ticket, people can follow what Product change that work serves: which Capability is changing, what Behavior is required, which Solution needs it, and why the work exists. That gives leaders, Product, Engineering, and others a much clearer view of what the organization is actually changing.
See farther before making a change
A proposed change does not affect only the place where someone first notices it. Following the Product relationships can reveal other Capabilities, Scenarios, decisions, dependencies, Solutions, work, and realizations that may also need attention. That does not eliminate analysis. It gives the analysis a connected structure to follow.
Change the Product without repeatedly rediscovering its past
People making a later change can find what was decided before, why it was decided, which constraints mattered, and why other options were rejected or deferred. They can challenge an earlier decision when circumstances have changed without first having to reconstruct what the decision was or guess why someone made it.
Turn new discoveries into accumulated Product understanding
Suppose Engineering discovers that a payment provider cannot support a required recovery path, or Testing exposes a Scenario nobody had considered. That discovery can be connected to the affected Capability, Behavior, decision, or unresolved question and incorporated into the maintained Product understanding. The next person confronting that part of the Product can begin from what the organization learned rather than having to rediscover it.
Give Engineering clearer Product meaning without taking away Engineering authority
Engineering can work from explicit required Behavior, decisions, constraints, and Product context while retaining authority over the technical design and implementation used to satisfy them. Product meaning becomes clearer without turning Product Management into technical design authority.
Six cooperating parts make Producore operational
Producore is not one technique or one repository. It brings six cooperating parts together around the same Product reality.
Product Knowledge Base
The Product Knowledge Base (PKB) is the maintained business and Product knowledge asset people use to prepare work, implement and accept change, operate the Product, and make later changes. It keeps the relevant Solution boundary, Capabilities, required Behavior, specifications, decisions, rationale, unresolved questions, dependencies, realization knowledge, and relationships available as one maintained Product understanding. The PKB can be implemented in different tools. What matters is that Product knowledge does not lose its authority, relationships, or usefulness merely because the work that originally surfaced it has ended.
Capability Management
Capability Management assigns continuing responsibility for each Capability and its Product knowledge. Every Capability has an explicitly assigned Capability Manager who remains answerable for maintaining its integrated understanding as the Product changes. That continuing responsibility is important because a Capability may outlive the project, initiative, team, funding arrangement, implementation, and individual people involved in any particular change.
Capability-Driven Development
Capability-Driven Development (CDD) orients selected development work around the Capability and approved Behavior that Engineering is going to realize or change. A work item may arrive labeled as a screen, service, data change, feature, or other implementation-shaped request. CDD asks what required ability and Behavior that work actually serves. That keeps the team developing from the Product meaning of the change rather than allowing the shape of the requested implementation to become the main unit of understanding.
BDD the Producore Way
BDD the Producore Way develops required Behavior into precise business-owned behavioral specifications. Its analysis examines the conditions that matter, the event that occurs, and the outcomes the Product is required to produce. It deliberately explores meaningful variations, alternative interpretations, hidden event boundaries, and other Scenarios that may need to be considered. The analysis helps Product, Engineering, Testing, and other stakeholders converge on what the Capability is actually required to do while leaving technical realization decisions with Engineering.
Product Knowledge Base–Driven Development
Product Knowledge Base–Driven Development (PKBDD) makes the maintained Product knowledge in the PKB the basis of development. Engineering and Testing work from the applicable Capabilities, Behavioral Specifications, decisions, constraints, and other maintained Product knowledge instead of treating the work item itself as the requirement.
The work item still has an important job: selecting and coordinating the change, carrying implementation information, exposing status, and connecting the people doing the work. But when that work item closes, the Product knowledge it depended on does not have to disappear with it. New discoveries made during implementation and verification are reconciled back into the maintained Product understanding when they affect it.
Requirements Maturation Flow
Requirements Maturation Flow (RMF) makes the work required to prepare a selected change visible and establishes explicit conditions for when Engineering accepts that change for implementation and when the completed result can be accepted. Preparation can require behavioral analysis, decisions, dependency investigation, test data, environments, technical investigation, preparatory Engineering work, operational preparation, or other work specific to the change. RMF does not replace those activities. It makes the required maturation visible and prevents implementation or completion from being treated as ready merely because somebody wants the work to move forward.
The name Producore reflects the structure of the system. It places Product Management at the core of software development by organizing Product knowledge around the enduring Capabilities at the functional core of Products and Solutions. The six parts above are different, but they are not independent. They work together so Product meaning can remain coherent while a change moves from understanding and decision through specification, readiness, implementation, verification, acceptance, and later evolution.
The Capability Manager keeps that understanding integrated
Someone has to remain responsible for keeping all of this connected for each Capability.
Producore gives that responsibility to the Capability Manager, the organization’s Single Point of Contact for that Capability.
That does not make the Capability Manager the sole decision-maker. Product, Engineering, Security, Legal, Finance, Operations, and other stakeholders and specialists retain the decisions and authorities that properly belong to them.
The Capability Manager has a different responsibility: developing and maintaining the integrated understanding of the Capability itself. They need to understand why the Capability exists, which Solutions and use-case steps depend on it, which Scenarios can arise, which of those Scenarios are supported or may need to be supported, what Behavior is required, which other Capabilities it depends on, where and how it is currently realized, which decisions and constraints shape it, what is changing, and what remains unresolved.
Much of that understanding has to be developed through active analysis, and the Capability Manager does not develop it alone. Product, Engineering, Testing, Operations, specialists, stakeholders, and others contribute the knowledge, constraints, decisions, and discoveries that shape the Capability within their respective responsibilities and authorities.
The Capability Manager works with those contributors to understand expectations and analyze use cases, meaningful steps, Scenarios, existing Product knowledge, dependencies, and realization. They identify potential Scenarios and Capability needs that may not yet have been recognized and develop required Behavior into behavioral specifications precise enough for Product, Engineering, Testing, and others to work from the same expectation.
RMF gives the Capability Manager and Engineering teams a deliberate way to do that maturation work together, including the Engineering participation needed to expose constraints, mature specifications, and make a selected change ready enough to implement.
When the analysis exposes a decision that belongs to Product or another specialist authority, the Capability Manager does not invent the answer. They get the question to the people with the authority and knowledge to decide it, then incorporate the resulting decision, rationale, consequences, and any resulting specification changes into the maintained Product understanding.
This is why strong Business Analysis can look like proto-Capability-Management work. Much of the elicitation, analysis, requirements development, and translation is familiar.
Capability Management gives that work a continuing home around the Capability itself. That responsibility stays with the Capability as implementations, teams, reporting structures, and organizational placement change. The person carrying it may change, but the stewardship responsibility does not disappear with the current request, project, work item, implementation, or team; when necessary, it is deliberately transferred to another Capability Manager.
And the integrated understanding developed through that work does not have to remain inside one capable person’s head. It becomes shared, governed Product knowledge in the PKB.
The Product can outlive the work without losing its meaning
Software Products often live much longer than the projects, releases, work items, teams, technologies, and individual people involved in any one change. Producore’s role across that longer life is broader than preserving documentation or storing Product knowledge.
It provides structural control while the organization understands what a Solution requires, discovers and manages the Capabilities needed to support it, develops their required Behavior, prepares selected changes for Engineering, carries those changes through implementation and acceptance, incorporates what is learned, and later changes the Product again.
Because the Product knowledge and relationships developed through that work remain connected and maintained, the next change can begin from the organization’s current understanding instead of forcing people to reconstruct the Product from historical tickets, old documents, code, conversations, and institutional memory.
The Capabilities remain understandable.
Their required Behavior remains available.
The decisions, whys, and why-nots can still be followed.
The relationships to other Capabilities, Solutions, work, and realizations can still be navigated.
And implementations can change without taking the Product’s accumulated meaning with them. Producore gives the organization a way to continue understanding, governing, realizing, operating, and evolving the Product as a durable and coherent organizational asset.
Where do you go from here?
I want to understand Producore more deeply
The Gap explains the structural problem Producore addresses and develops the complete Producore system in depth.
I understand Producore and want to consider adoption
The Adopting Producore Roadmap explains how an organization can begin bringing Producore into its existing environment.
Plan your Producore adoption
If you are considering Producore for your organization, tell us what you are trying to change and how your organization develops software today. We can help you choose where to begin, identify the preparation and support that first adoption will need, and plan how Producore can grow from there.