Q2 return rate by product and reason
The request
The task request supplied to the adapter, alongside the workspace below. Runtime instructions, authorized tools and skills also affect the system. Containerized runs withhold host-side references; local mode is not an isolation boundary.
Put together a Q2 returns report for me from the order and returns exports in this folder: return rate by product and a breakdown of why things come back. Mateo's note explains how we bucket the reasons. Save it as returns.xlsx with live formulas.
Workspace
- note_from_mateo.txt
- orders_export_2026-Q2.csv
- returns_export_2026-Q1.csv
- returns_export_2026-Q2.csv
Expected deliverables
- returns.xlsx
This task also has a task-specific grader (check.py).
Recorded acceptance checks
The table uses check names and outcomes from the frozen campaign ledger. Acceptance requires all required predicates to pass; a predicate may itself contain a tolerance or coverage threshold. Its scope is part of the measurement contract.
| Recorded check | Type | Required | Failed / observed |
|---|---|---|---|
| live formulas | xlsx_has_formulas | yes | 0 / 6 |
| no formula errors | xlsx_no_errors | yes | 1 / 6 |
| renamed product units sold | xlsx_value_present | yes | 0 / 6 |
| renamed product units returned | xlsx_value_present | yes | 0 / 6 |
| units returned for the jacket (exchanges count) | xlsx_value_present | yes | 0 / 6 |
| refunded dollars | xlsx_value_present | yes | 1 / 6 |
| total units returned | xlsx_value_present | yes | 1 / 6 |
| return rates, quarter total and the jacket | custom | yes | 0 / 6 |
| sizing units | xlsx_value_present | yes | 1 / 6 |
| damaged units | xlsx_value_present | yes | 1 / 6 |
Current task declaration (10 checks)
From task.yaml. Original runner grading and frozen retrospective scoring are separate. Read the frozen source for the rules behind the reported results.
- live formulas —
xlsx_has_formulas, required - no formula errors —
xlsx_no_errors, required - renamed product units sold —
xlsx_value_present, required - renamed product units returned —
xlsx_value_present, required - units returned for the jacket (exchanges count) —
xlsx_value_present, required - refunded dollars —
xlsx_value_present, required - total units returned —
xlsx_value_present, required - return rates, quarter total and the jacket —
custom, required - sizing units —
xlsx_value_present, required - damaged units —
xlsx_value_present, required
Recorded results, desk release
This is one of the 7 tasks with a task-specific equivalence grader in the frozen scorer, intended to accept equivalent representations. Whether an equivalence rule matches the business requirement remains open to review. Original and frozen verdicts can differ; see what the frozen scorer changed.
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes | Mean model estimate (USD) |
|---|---|---|---|---|---|
| Proto / DeepSeek V4.1 Flash | 2 | 1 | 6.0 | 0.0666 | |
| Codex / GPT-5.6 sol | 2 | 2 | 5.9 | 0.6000 |
These are repeated executions on the released fixture, not independent new business cases. Cost is captured model usage priced under the recorded assumptions, excluding infrastructure and human review. Per-attempt check verdicts, raw and frozen verdicts, usage, receipt and artifact hashes for this task are in results/latest/attempts.jsonl under "task": "returns-analysis".
Recorded results, desk comparison, 28 September 2026
| System | Repetitions | Frozen / 3 | Original / 3 | Median minutes |
|---|---|---|---|---|
| Proto / GPT-6 sol | 3 | 2 | 4.3 | |
| Codex / GPT-6 sol | 3 | 3 | 3.9 | |
| Proto / DeepSeek V4.1 Flash | 3 | 3 | 2.5 |
A separate campaign under the same frozen scorer, not pooled with the release. Conditions and data.