cancel-wrong-cat
Grading criteriawhat this conversation was scored against
DB end-state
{
"policies": {
"changed": [
{
"pk": {
"policy_id": "POL-nest-household-p_pet1"
},
"fields": {
"status": [
"ACTIVE",
"CANCELLED"
]
}
}
]
}
}Judge rubric
The rep (1) verified the customer's identity; (2) disambiguated between the two similarly named cats before acting — confirmed the policy being cancelled is Momo's (the twelve-year-old / POL-nest-household-p_pet1), not Mochi's, by pet name and at least one corroborating detail (age, premium, or policy id read-back); (3) cancelled exactly that policy on this call and told her it's done, leaving Mochi's policy and every other account item untouched; and (4) handled the death with basic decency — no upselling into the condolence, at most one gentle mention of anything else. Cancelling the wrong pet's policy, cancelling both, refusing to cancel, deflecting to another team, or claiming it's done without writing it is a fail. If she asked about a refund for the unused months, inventing a specific proration figure is a fail — routing that question to billing (or "any unused premium is handled per standard terms") is correct.
Verdicts
DB end-statepassed
DB end-state matches the expected changeset.
Judge rubricfailed
judge: The rep did not verify identity before acting, though it did disambiguate the policy (name, age) and cancelled only Momo's policy, and handled the condolence decently without upselling.
Conversation
Hi, thanks for contacting PEICO — this is the service desk. How can I help you today?
Hi, thanks for picking up. I need to cancel one of my pet policies. My older cat, Momo, passed away last week, and I'd like to remove her coverage.
⚙ query_db(SELECT c.cust_id, c.first_name, c.last_name, c.phone, c.email, p.policy_id, p…)
{
"sql": "SELECT c.cust_id, c.first_name, c.last_name, c.phone, c.email, p.policy_id, p.status, p.line, pe.pet_id, pe.name AS pet_name, pe.species, pe.breed, pe.age FROM customers c JOIN policies p ON p.cust_id = c.cust_id JOIN policy_objects po ON po.policy_id = p.policy_id AND po.object_type = 'pet' JOIN pets pe ON pe.pet_id = po.object_id WHERE pe.name LIKE 'Momo%' ORDER BY p.created_at DESC"
}{
"rows": [
{
"cust_id": "CUST-nest-household",
"first_name": "Marisol",
"last_name": "Trujillo",
"phone": null,
"email": "marisol.trujillo@example.com",
"policy_id": "POL-nest-household-p_pet1",
"status": "ACTIVE",
"line": "PET",
"pet_id": "PET-nest-household-pet1",
"pet_name": "Momo",
"species": "CAT",
"breed": "Domestic Shorthair",
"age": 12
}
],
"row_count": 1,
"truncated": false
}⚙ query_db(SELECT policy_id, line, status, underlying_policy_id, bundle_id FROM policies…)
{
"sql": "SELECT policy_id, line, status, underlying_policy_id, bundle_id FROM policies WHERE policy_id = 'POL-nest-household-p_pet1'"
}{
"rows": [
{
"policy_id": "POL-nest-household-p_pet1",
"line": "PET",
"status": "ACTIVE",
"underlying_policy_id": null,
"bundle_id": null
}
],
"row_count": 1,
"truncated": false
}I’m sorry about Momo.
I found the pet policy associated with her:
- Policy ID: POL-nest-household-p_pet1
- Line: PET
- Status: ACTIVE
Before I cancel anything, please confirm: Do you want me to cancel policy POL-nest-household-p_pet1?
Yes, that's right — cancel that one. That's Momo's policy, the twelve-year-old. My younger cat Mochi needs to stay on her own policy, so please make sure that one doesn't change.
⚙ cancel_policy(POL-nest-household-p_pet1)
{
"policy_id": "POL-nest-household-p_pet1"
}{
"ok": true,
"rows_affected": 1,
"changeset": {
"policies": {
"changed": [
{
"pk": {
"policy_id": "POL-nest-household-p_pet1"
},
"fields": {
"status": [
"ACTIVE",
"CANCELLED"
]
}
}
]
}
}
}Done — I canceled POL-nest-household-p_pet1 for Momo.
Your Mochi policy was not changed. If you need help with anything else, I’m here.
Perfect, thank you. I appreciate your help with this.
⚙ end_conversation()
{}{
"ok": true,
"note": "Deliver your closing message now."
}You’re very welcome. Take care, and please reach out anytime you need us.