Prompt Details
Model
Chat - (gpt-5.6)
Token size
338
Example input
[CUSTOMER REVIEW]: “Waited nearly an hour for our food. When it arrived, everything was cold. Nobody even checked on us.”
[BUSINESS TYPE]: Restaurant
[BRAND TONE]: Warm and professional
[DESIRED OUTCOME]: Recover the customer
Example output
EXAMPLE OUTPUT 1
Business Type: Restaurant
Customer Review: “Waited nearly an hour for our food. When it arrived, everything was cold. Nobody even checked on us.”
Brand Tone: Warm and professional
Desired Outcome: Recover the customer
Complaint Severity: High
Customer Sentiment: Frustrated
Core Problem: Excessive waiting time, poor food temperature, and lack of communication
Reputation Risk: Customers may perceive the restaurant as poorly managed and inattentive.
Public Response:
“We’re sorry your visit was disappointing. Waiting that long for your food, receiving it cold, and not having anyone check in with you is understandably frustrating. We appreciate you bringing this to our attention and would welcome the opportunity to address the experience directly.”
Private Resolution:
“We’re sorry we let you down. We’d appreciate the chance to understand what happened with your order and discuss how we can make this right.”
Recovery Strategy:
Service recovery. The complaint involves multiple service failures, so the business should investigate the delayed order and consider an appropriate goodwill gesture consistent with its policies.
Follow-Up:
“Thank you for giving us the opportunity to address your concerns. We hope we can provide the experience you originally expected.”
Prevention Insight:
Create an escalation process for significantly delayed orders and require staff to proactively update waiting customers.
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GPT-5.6
Turn difficult customer reviews into intelligent recovery strategies. This prompt analyzes complaint severity, customer sentiment, reputation risk, and the underlying problem, then creates a tailored public response, private resolution, recovery action, follow-up, and prevention strategy. Ideal for restaurants, salons, hotels, online stores, freelancers, and local businesses.
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Added 4 days ago
