An adversarial reviewer attacks the decision through the lenses of cost, operational risk and simplicity. The answers are forced to admit what they cannot refute, and a model from another vendor gives the second opinion.
The problem
Architecture review depends on someone willing to pick a fight with the author. In practice the document circulates, two colleagues say "makes sense", and the first serious objection shows up in production, with interest.
The adversarial pass is part of the process: objections with lens and severity, answers with verdicts, and whatever stands is recorded in the deliverable itself. The second opinion’s disagreement likewise: recorded, instead of resolved by vote.
How it works
Each objection declares its angle of attack (cost, operational risk or simplicity), why it matters and what would confirm it. The answer receives a verdict: refuted, stands, or partially stands.
An objection that stands is kept on record on purpose. A true objection hidden away is the worst possible outcome of this process.
Objections considered
An adversarial reviewer tried to take this recommendation down, including the objections it did not win.
At 8% monthly growth, cost per query doubles before month 18.
Projected over the real series, cost reaches R$ 3,280 at month 18, inside the approved ceiling. Beyond that, the volume assumption would already have broken and reopened the decision.
Two tools where one would cover today’s dashboards.
It stands for the three current dashboards. It stays on record: if usage does not grow, the simplification enters the next review.
An objection that stands is kept on record on purpose. A true objection hidden away is the worst possible outcome of this process. And the attack comes from a model by a different vendor than the one that recommended.
A model from a different vendor reviews the same decision, so the two do not share training blind spots. Where they disagree, the disagreement is published inside the deliverable.
The "Objections answered" seal travels with the full record: how many objections, how many refuted, how many still standing.
Transactional model for e-commerce
Version 2 · audited · 6 entities, 31 columns
| DDL executed on a real database | done |
| Business questions answered by query | done |
| Adversarial review | done |
| Proof under load | not measured |
Second opinion, from a different model
Disagrees with normalizing stock_movements: at high volume, a balance computed by summation becomes the bottleneck. Suggests materializing it. The disagreement was recorded, not resolved.
Under the hood
What keeps the attack from becoming theatre.
What comes next
Scripts executed on a disposable PostgreSQL, business questions answered by query, and the seal showing what was and was not verified.
See it from the inside →MethodMethodology canonDAMA-DMBOK, Kimball, Inmon, Data Vault, TOGAF and Well-Architected, curated and versioned, with the citation inside the audit finding.
See it from the inside →DecisionDecision matrixWeighted criteria, justified scores, and each option declaring how much it costs and how long it takes to leave it within 18 months.
See it from the inside →Paste the structure, get the most serious findings in about two minutes, and decide later whether an engagement is worth opening. No account, no card.