Reporting, Compliance, and AnalyticsPurpose
1.2. Automate data extraction from surveys, social media, review sites, and feedback forms in real-time.
1.3. Facilitate automated visualization of satisfaction trends over time, segmented by menu items, service, time periods, or staff.
1.4. Enable automated alerting for negative sentiment spikes and compliance reporting to management.
1.5. Support data-driven decisions by automating actionable insight delivery to Roman cuisine restaurant owners and staff.
Trigger Conditions
2.2. Survey or feedback form submitted via web or mobile app.
2.3. Social media mention, comment, or rating detected on monitored platforms.
2.4. Scheduled analytics/reporting interval (e.g., daily, weekly).
2.5. API/webhook notification from POS or reservation system after customer visit.
Platform Variants
• Feature/Setting: AnalyzeSentiment—automates sentiment analysis of text from reviews and feedback.
3.2. Amazon Comprehend
• Feature/Setting: DetectSentiment—automates extraction of positive/negative/neutral sentiment from customer comments.
3.3. IBM Watson Tone Analyzer
• Feature/Setting: Tone Analysis API—automates mood/sentiment detection for analytics and automation trigger.
3.4. Microsoft Azure Text Analytics
• Feature/Setting: Sentiment Analysis API—automates customer review scoring by sentiment.
3.5. SurveyMonkey
• Feature/Setting: Webhooks—automates sending new survey results to analytics pipelines.
3.6. Typeform
• Feature/Setting: Responses API—automates automated data pull from fresh respondent feedback.
3.7. Google Sheets
• Feature/Setting: API and App Script—automates aggregation and trend graph updates for satisfaction levels.
3.8. Zapier
• Feature/Setting: Instant Triggers—automates workflow launches upon feedback form receipt.
3.9. Airtable
• Feature/Setting: API and automation scripts—automator for organizing customer feedback records with status.
3.10. Power BI
• Feature/Setting: Real-time dashboard—automated visualization and reporting of aggregated trends.
3.11. Tableau
• Feature/Setting: Web Data Connector—automates pulls from APIs for dynamic trend charts.
3.12. Databox
• Feature/Setting: API Connector—automates real-time KPI monitoring for satisfaction.
3.13. HubSpot CRM
• Feature/Setting: Feedback Automation tools—automated scoring and escalation workflow for customer reviews.
3.14. Salesforce Service Cloud
• Feature/Setting: Cases API & Einstein Analytics—automates sentiment-linked escalation & reporting.
3.15. Hootsuite
• Feature/Setting: Streams/Webhooks—automates real-time monitoring of social feedback for analytics.
3.16. Sprout Social
• Feature/Setting: Listening API—automates social channel trend analysis and alerts.
3.17. Twilio SMS
• Feature/Setting: Messaging Webhook—automates feedback collection after meal via SMS.
3.18. Slack
• Feature/Setting: Incoming Webhooks—automated notifications to staff based on feedback triggers.
3.19. Intercom
• Feature/Setting: Conversations API—automates gathering of chat-based feedback and analytics.
3.20. Zendesk
• Feature/Setting: Ticket API & Satisfaction Ratings—automates collecting and trending support ratings.
3.21. Google Data Studio
• Feature/Setting: Data Connector/Embed—automated creation of real-time analytics dashboards.
3.22. Monday.com
• Feature/Setting: Automations/Integrations—automates tracking and alerting satisfaction metric changes.
Benefits
4.2. Automating multi-source feedback saves staff time and increases data coverage.
4.3. Real-time automation enables prompt issue resolution and customer retention.
4.4. Automated reporting streamlines compliance with industry standards and best practices.
4.5. Automation-driven analytics empower data-based menu, service, and staffing improvements.