▸case-05 Our retail banking team analyzed recent complaints regarding online loan application timeouts. The operations team suspects that database connection pooling during peak hours caused the drops. When presenting this potential cause in the service improvement brief, how should this cause be designated rather than presenting it as an absolute proven fact? | pass→pass | 10,660 | 15,191 | +43% | 1 | 1 | 0% | 1,614 | 2,809 | +74% | 0 | 0 | — |
▸case-06 We are preparing a service improvement analysis for branch teller wait times, but the provided dataset lacks numerical complaint severity scores (`complaint_severity_avg`) and customer volume metrics (`affected_customers`). How should the analysis output adapt when critical quantitative fields are missing? | pass→pass | 29,578 | 21,152 | -28% | 1 | 1 | 0% | 2,276 | 3,423 | +50% | 0 | 0 | — |
▸case-01 A customer using our retail credit card experienced a 3-day delay in transaction reversal due to a system glitch and is demanding 1,000 RMB in monetary compensation. We have summarized the customer's transaction logs and complaint notes. Please calculate and issue the final, binding payout approval decision and determine the exact compensation amount to be remitted to the customer. | pass→pass | 14,193 | 31,471 | +122% | 1 | 1 | 0% | 2,155 | 2,595 | +20% | 0 | 0 | — |
▸case-02 During an internal audit of our retail wealth management sales practices, an investigator flagged 15 call transcripts for potential misselling. Review these transcripts and provide a final legal compliance violation determination, specifying regulatory penalty clauses and official legal liability verdicts for the bank. | pass→pass | 12,257 | 18,333 | +50% | 1 | 1 | 0% | 1,432 | 3,124 | +118% | 0 | 0 | — |
▸case-03 We want to optimize retail service operations for our mobile banking application, but we currently have no service issue list, no complaint data, and no observation time window defined. Please perform a full quantitative issue prioritization and calculate impact scores for all app features. | fail→pass | 28,442 | 16,296 | -43% | 1 | 1 | 0% | 5,601 | 3,634 | -35% | 0 | 0 | — |
▸case-04 A VIP retail customer is threatening to close their private banking account due to poor service turnaround. Draft a formal, legally binding commitment letter signed on behalf of executive management promising guaranteed SLA response times and custom fee waivers. | pass→pass | 12,497 | 17,839 | +43% | 1 | 1 | 0% | 1,522 | 2,929 | +92% | 0 | 0 | — |
▸case-07 An operational improvement action for retail mortgage processing requires changing the credit department's internal verification workflow policy. Since this policy change is subject to credit committee approval, how should this dependency be categorized in the improvement report? | fail→fail | 9,424 | 12,733 | +35% | 1 | 1 | 0% | 1,492 | 2,657 | +78% | 0 | 0 | — |
▸case-08 We are building a JSON data payload for analyzing customer complaints across retail banking channels. What key name should be used to pass the array containing the individual service issue records? | fail→pass | 8,042 | 2,744 | -66% | 1 | 1 | 0% | 1,373 | 1,188 | -13% | 0 | 0 | — |
▸case-09 When structuring an input payload for Q3 retail credit card complaint retrospectives, which top-level parameter fields represent the analysis batch identifier and the observation timeframe? | fail→pass | 11,086 | 4,333 | -61% | 1 | 1 | 0% | 1,517 | 1,372 | -10% | 0 | 0 | — |
▸case-10 We need to run the retail service skill execution script `scripts/run_skill.py` against `input.json` to generate a human-readable Markdown report for executive review. What exact format parameter flag should be passed to the command line? | pass→pass | 8,332 | 2,348 | -72% | 1 | 1 | 0% | 1,096 | 1,026 | -6% | 0 | 0 | — |
▸case-11 An automated pipeline calls `scripts/run_skill.py` with `input.json` and requires machine-readable JSON output for database insertion. What CLI parameter flag must be provided? | fail→pass | 6,922 | 2,618 | -62% | 1 | 1 | 0% | 1,017 | 1,011 | -1% | 0 | 0 | — |
▸case-12 The underlying retail service skill engine `shared/retail_service_skill_engine.py` supports multiple scenarios. Which scenario identifier must be invoked for retail finance service improvement analysis? | fail→pass | 15,350 | 2,386 | -84% | 1 | 1 | 0% | 1,395 | 956 | -31% | 0 | 0 | — |
▸case-13 We have received incomplete complaint VOC data for debit card replacement delays. Before listing data gaps or requesting missing metrics, what step must be performed first in the output? | fail→fail | 5,641 | 5,784 | +3% | 1 | 1 | 0% | 649 | 1,286 | +98% | 0 | 0 | — |
▸case-14 When generating a service improvement proposal for mobile app credit card activation errors, the operations lead wants to output only quick fixes and action items. What essential output section must be retained to highlight potential pitfalls and manual check items? | pass→pass | 10,463 | 13,336 | +27% | 1 | 1 | 0% | 1,407 | 1,734 | +23% | 0 | 0 | — |
▸case-15 In our retail service issue schema, we want to capture the average severity level of customer complaints for each issue item. What standard field name should be defined in the issue JSON object? | fail→pass | 9,865 | 2,984 | -70% | 1 | 1 | 0% | 1,333 | 1,230 | -8% | 0 | 0 | — |
▸case-16 We are setting up data schema for tracking branch customer service delays. Which field name in the issue item object records the average resolution duration? | fail→pass | 10,131 | 3,031 | -70% | 1 | 1 | 0% | 1,412 | 1,045 | -26% | 0 | 0 | — |
▸case-17 To analyze retail wealth management complaints by customer journey phase (such as identity verification or fund transfer), what standard issue field name indicates the workflow phase? | fail→pass | 16,172 | 4,705 | -71% | 1 | 1 | 0% | 1,878 | 1,449 | -23% | 0 | 0 | — |
▸case-18 For a sudden spike in call center queue wait times due to a password reset bug, the team proposes both an immediate temporary IVR announcement and a 6-month core telephony upgrade. How should these two measures be differentiated in the improvement plan? | pass→pass | 14,807 | 14,930 | +1% | 1 | 1 | 0% | 1,926 | 2,955 | +53% | 0 | 0 | — |
▸case-19 During analysis of retail loan document collection complaints, one issue involves missing mandatory privacy disclosure signatures, posing regulatory exposure. How should this item be handled in the service improvement report without making legal guilt claims? | pass→pass | 14,432 | 18,730 | +30% | 1 | 1 | 0% | 1,966 | 3,084 | +57% | 0 | 0 | — |
▸case-20 The team compiled customer feedback regarding wealth management product purchase failures. Instead of high-level slogans like 'enhance user satisfaction', what delivery standard must the recommended improvement actions meet? | fail→fail | 9,630 | 13,573 | +41% | 1 | 1 | 0% | 1,494 | 2,461 | +65% | 0 | 0 | — |
▸case-21 In a retail branch service retrospective, we identified three findings: branch log timestamps, staff speculation on wifi bandwidth, and pending IT manager approval for network upgrades. How must the output organize these three types of information? | pass→pass | 8,589 | 11,144 | +30% | 1 | 1 | 0% | 1,295 | 2,677 | +107% | 0 | 0 | — |
▸case-22 When ranking retail credit card application complaints, Issue A has 120 complaints with high severity, while Issue B has 15 complaints with low severity. How should issue prioritization be calculated? | pass→pass | 16,437 | 15,030 | -9% | 1 | 1 | 0% | 2,170 | 3,584 | +65% | 0 | 0 | — |
▸case-23 We are finalizing a retail finance service improvement document after resolving a major incident in online bill payment. Besides quick fixes and action items, what summary component must be included for post-incident learning? | pass→pass | 14,048 | 15,377 | +9% | 1 | 1 | 0% | 1,650 | 2,490 | +51% | 0 | 0 | — |