Opportunity intelligence turns evidence into a qualified route to action.
It identifies a real market opportunity, tests whether the evidence is strong enough to act, and carries the context to the person or system that owns the next decision.
What opportunity intelligence is.
Opportunity intelligence is the governed process of connecting a dated signal to a known market entity, a defined need, evidence of fit and timing, and a defensible next route. It is useful only when another person can inspect why the opportunity was identified and what remains uncertain.
The output is not merely a score. It is a reviewable record: source, entity, need, qualification evidence, time boundary, limitation, owner and next action.
Outside-in, then inside-out.
- Demand intelligence finds and qualifies the opportunity outside the organization.
- Business intelligence carries the opportunity through ownership, workflow, decision and measurable outcome inside the organization.
- Opportunity intelligence governs the handoff between them.
Six steps from signal to accountable action.
1. Observe
Record the source, event, date and exact claim without converting activity into intent.
2. Resolve
Connect the observation to the correct company, account, product, asset, market or project.
3. Qualify
Test fit, need, timing, authority, capacity, confidence and permitted use against explicit rules.
4. Explain
Show why the evidence matters now, what contradicts it and what remains unknown.
5. Route
Assign the message, owner, channel and next action appropriate to the opportunity.
6. Learn
Record the result so the qualification logic can be corrected rather than merely repeated.
What it is not.
- Not anonymous traffic presented as a buyer
- Not a purchased name presented as qualified demand
- Not a CRM stage presented as proof of customer intent
- Not a model score with no source, date or explanation
- Not certainty, prediction or a promise of commercial outcome
Six labels keep claims from drifting.
Delta Arc distinguishes direct observation, corroborated conclusion, derived estimate, working inference, bounded absence and user-supplied context. The label defines what the evidence supports, not how persuasive the prose sounds.
Review the six evidence classes →Machine Blue Book shows the architecture in one market.
A machine category, manufacturer, model, specification, asking-price observation or service need can be connected to a dated research path. That context can help a buyer, seller or provider understand the decision without claiming that a pageview proves intent or that an asking price proves a sale.
Open Machine Blue Book ↗Start with the decision, not the dashboard.
Delta Arc defines the market, entity model, evidence classes, qualification rules, routing boundary and feedback record around the decision that must improve.
Build With Delta ArcEvery material claim keeps its source and time boundary.
Read the method, inspect the definitions and challenge the evidence through the published correction route.