What does a reseller's quality check on an intake sample look like in practice?
A reseller analyst runs transition and policy-join checks on a utility connection sample, finds a misrouted priority case, holds the batch and sends the defect back.
A data product analyst at a reseller receives a sample of utility connection request cases, coded `CONN-0001` onward, from a pilot release. Before listing, they run three scripts.
The first checks state transitions. All cases pass. The second joins `routing_decision.rule_id` to the policy file and compares the queue the policy would assign with the queue recorded. Case `CONN-0318` is recorded as `standard_connections`, but rule `R-VUL-03` requires `priority_support` when a medical-dependency flag is set. The flag is set.
The analyst checks the `override_by_role` field. It is empty, so this is not a supervisor override. They log a defect, move the batch from `candidate` to `held`, and send the case, rule and field values back to MirrorFirm with a request for an explanation.
**Consequence:** the reseller does not list the sample until the defect is explained or corrected. Had the field shown a supervisor override with a note, the case would have been retained as a deliberate exception and tagged for buyers.
**What it teaches:** a conformance join between decisions and policy rules is a cheap, high-value check. It separates deliberate exceptions from errors only if the data records overrides explicitly, so ask for that field in scoping. Keep the defect log as evidence of what you checked before onward licensing.
A join between routing decisions and policy rules is a cheap, high-value check, provided overrides are recorded explicitly.
- Audience:
- Licensed resellers
- Content type:
- Scenario
- Buyer question:
- How to evaluate it
Content release: r-a220eb6e099b243b
Related questions
- What should you check when you receive an intake sample?
- What evaluation hooks should a simulated intake environment expose?
- What failure modes should an intake evaluation measure?
- How can a buyer judge the quality of generated intake data?
- How does a graded run expose a skipped completeness check?
- How can a buyer inspect the quality of a generated intake environment?