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Grok Bot+18 agentsRestaurant Reputation Intelligence
Turn guest feedback into verified themes, service priorities, and measured follow-up without overreacting to isolated reviews.
$9.99
Restaurant Reputation Intelligence
Example session with this skill installed
Summarize these 60 anonymized reviews from our two locations over the last month. Group recurring positives and complaints, compare locations only where sample sizes support it, flag individual cases needing manager response, and suggest three service tests with measures. Quote no more than short phrases and do not infer a guest's identity.
- Read your context and instructions
- Compiled the restaurant reputation intelligence
Guest Feedback Brief
Coverage and limits
Analyze only the 60 supplied, anonymized reviews from the stated month. Location comparisons should include review counts; small differences may reflect channel mix or chance rather than a real service gap. Short comments can lack context.
Theme summary
| Theme | Evidence pattern | Interpretation |
|---|---|---|
| Friendly service | Repeated positive mentions across both locations | Preserve current practices and learn which behaviors guests notice. |
| Wait times | Several comments mention delays during peak periods | Check timestamps and staffing context before attributing cause. |
| Menu clarity | Guests ask about portions and substitutions | Review menu descriptions and staff reference materials. |
Manager response queue
Review each low-rated or unresolved case privately. Verify the visit details through approved channels before replying; do not request or expose sensitive information in a public response.
Service tests
Peak wait communication: compare a defined period with a clear wait-time update against a comparable baseline; track complaints and service timing.
2. Menu clarification: test revised descriptions on selected items; track repeat questions and guest feedback.
3.
Shift handoff: add a short handoff note for delays and recurring issues; review completion and next-shift resolution.
Follow-up
Assign an owner and review date for each test. Keep sample sizes visible, preserve contradictory feedback, and avoid treating review sentiment as a complete measure of guest experience.
Connects securely to your tools. The creator never sees your data.
About this skill
Restaurant Reputation Intelligence
Organize restaurant reviews and guest feedback into a clear, evidence-aware view of recurring strengths, friction, and response needs. This skill separates direct observations from interpretation and connects themes to practical service improvements.
Deliverables
- Review coverage and data-quality notes
- Theme summary with representative evidence
- Guest journey or service-area issue map
- Response queue for urgent or unresolved cases
- Prioritized improvement hypotheses and measures
Workflow
- Clarify locations, channels, dates, and the decision to support.
- Check for duplicates, missing context, and channel or time-period bias.
- Group similar comments while preserving meaningful differences.
- Separate reported facts, sentiment, and inferred causes.
- Flag possible safety, privacy, or discrimination issues for authorized human review.
- Recommend small operational tests and a follow-up measurement plan.
Guardrails
Do not fabricate reviews, identify guests, or treat sentiment as proof. Avoid retaliatory or misleading responses. Respect platform terms and privacy rules.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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