How a Chatbot Should Handle Angry Customers: No De-Escalation Strategy
Frequency:Occasional
Category:Human Machine Interface
Difficult Customers
1 patterns for this issue
Goal: Angry users end the conversation calmer, or with a person, not angrier.
Why this family exists
Anger is predictable, and bots that quote policy or apologise generically make it worse. The fix is a change of tactics at known triggers and a clean handoff.
How we measure it
Shared metrics the patterns below report against. Targets are starting points to tune on your own data, unless a source is given.
| Metric | Target | Defined in |
|---|---|---|
| Correct escalation on trigger cases | Over 95% | no de escalation strategy (GitHub) |
| Policy-first replies in angry threads | Under 2% | no de escalation strategy (GitHub) |
| Handoff after 3 or more negative turns | Over 90% | no de escalation strategy (GitHub) |
Patterns
| Pattern | One line |
|---|---|
| No de-escalation strategy (GitHub) | Quotes policy at angry customers and never changes tactics |
Planned (not yet written)
- Abusive-user boundaries