Map the value ecosystem and dependencies

**Skill and decision.** A technology initiative may work in a functional test yet fail at launch because users cannot enter the needed data, the payer receives no benefit, or an integration partner has no reason to connect. Before allocating funds, a portfolio manager maps the value system: who wants the outcome, who uses the tool, who pays, who operates it, who supplies data or an interface, and who bears downside risk. The output is more than a stakeholder list. It is a map of resource flows and testable dependencies. Separate roles even when one person performs several of them, because each role has a different success condition.

Begin with one concrete use episode, not “all customers.” Describe the trigger, the user's decision, the path taken by information, the system that responds, and the event that must occur before value is realized. Label each arrow with a resource and direction: “the technician sends a closure code to the maintenance register” or “the parts supplier returns an availability date.” Write what happens when the resource does not arrive. A technical API may exist while permission to reuse the data for a new purpose does not. Separating technical feasibility, operating agreement, and applicable legal permission prevents a false dependency assumption. A partner's introductory meeting is not its commitment to supply data.

Classify links as **necessary conditions**, without which the initiative cannot deliver its intended result; **enhancers**, which increase value but are not needed to test the central hypothesis; and **constraints**, which limit implementation choices. A reliable request identity may be necessary, an optional notification may enhance value, and a response time or data minimization rule may constrain design. For each necessary condition, record its owner, evidence, check date, and fallback. Where no feasible fallback exists, the board should see concentration risk before approving a larger tranche. Distinguish adoption from benefit: 80% of teams signing into a system does not show that delays fell if approval work remained outside it.

The manager defines a short verification table. “Usable fault code” is necessary for the trial, owned by service operations, measured as the proportion of requests with an interpretable code over two weeks, with an invented decision threshold of 85%. “Supplier date” is necessary for scaling but not for an internal coding trial, owned by procurement, measured by the proportion of updates received before an agreed time. “Customer notification” is an enhancer deferred until the reservation hypothesis has evidence. These thresholds belong to the fictional decision and are not industry standards. If fault coding reaches 82%, the team does not relabel 82 as a pass after seeing it. It considers the cost of closing the three-point gap and decides whether to improve training, narrow scope, or stop based on expected learning and benefit.

**Source boundary.** The ISO 56002:2019 public description supports the need to establish, maintain, and improve an innovation management system; it does not publish this role map or the example's thresholds. The title and public scope of ISO 56003:2019 identify partnership guidance, but we do not attribute unread clause-level requirements to it. The map and figures are authored instructional decision tools. [ISO 56002](https://www.iso.org/cms/live/live/en/sites/isoorg/contents/data/standard/06/82/68221.html); [ISO 56003](https://www.iso.org/standard/68929.html).

**Test a dependency rather than writing a wish list.** When a supplier says that availability dates will be provided “soon,” request a sample of ten genuine updates or ten examples generated to the agreed interface contract. They should contain a part identifier, availability date, transmission time, and error status. Ask whether the supplier's code maps to the internal stock code, whether the update arrives before the scheduling decision, and what happens when no date arrives. A sensible fallback may display “unconfirmed” to the planner and block a promise to the customer, rather than filling the field with a misleading default date. Name who pays for the code mapping; a general intention to cooperate does not resource specific integration work.

Turn the dependency into a falsifiable statement: “If an accurate update arrives before noon on nine out of ten trial days, the planner can confirm the part for the next visit.” If transmission works but the planner cannot reserve a part because another team owns the permission, the map is incomplete. Add a decision-rights and authority arrow, not merely a data arrow. If the partner refuses reuse of the data for this purpose, do not pass the issue to programmers as though a clever interface could fix it. Escalate it to the agreement owner, and consider an option based on internal data or narrower scope. This test distinguishes a local technical defect from a dependency capable of defeating the portfolio benefit.

**Test the partner's incentive.** A supplier may promise data updates while internally measuring success by shipments leaving its warehouse. The service firm needs a reliable arrival date before scheduling a visit. Ask what operational incentive exists to revise a date when a part is late, who can correct it, and how both parties identify disagreement. A daily transmission agreement does not guarantee content accuracy. In a small trial, compare ten promised dates with actual arrival and retain cases revised after the first message. If a timely message contains an old date, an “on-time message” indicator rewards behavior that does not deliver the benefit. Add content correctness and the planner's resulting decision.

Draw the value path backward from the desired result. To avoid a failed visit, the technician must carry the correct part. To carry it, someone must reserve it. Reservation requires a valid fault code, trustworthy availability, and authority to hold the part. That authority depends on an operating arrangement between service and inventory. Failure to prove one link does not automatically reject the idea; it identifies the next experiment. A single arrow from “data” to “benefit” conceals the failure point the organization needs to manage.

In a multi-party system, name who decides when sources conflict. If internal inventory says “available” and the supplier says “shipment delayed,” the tool should not quietly display whichever value is older. Define source priority, validity time, and an “unconfirmed” state, then test it with a planner on a narrow scenario. This rule may need operating or contractual authorization rather than a programmer's unilateral choice. When manual fallback is slow, measure its portfolio cost instead of calling it free. The committee can then separate a negotiable dependency from one that cannot be resolved within the planning horizon.