Reporting and CompliancePurpose
1.2. Automates sentiment classification, keyword extraction, and trend identification for compliance and reporting.
1.3. Streamlines automated reporting to stakeholders, enabling faster issue resolution and customer experience improvements.
1.4. Supports automated regulatory reporting by maintaining accurate records and summarizing critical feedback themes.
Trigger Conditions
2.2. Scheduled automation (e.g., daily/weekly summary batches) or on-demand by staff.
2.3. Automation can be triggered when specific keywords or negative sentiments are detected.
2.4. Feedback import or integration with POS systems for automated post-visit requests.
Platform Variants
3.1. Google Forms
• Feature/Setting: Webhook automation upon new form submission—connect to feedback workflow.
3.2. Typeform
• Feature/Setting: Automated API responses trigger analysis pipeline.
3.3. Microsoft Power Automate
• Feature/Setting: Automate a flow for new SharePoint/Excel feedback entries.
3.4. Zapier
• Feature/Setting: Automate a multi-step workflow between Google Sheets, NLP APIs, and email.
3.5. Slack
• Feature/Setting: Incoming Webhooks automate feedback posting in channels; bots automate analysis replies.
3.6. Microsoft Teams
• Feature/Setting: Automator posts summary cards in specified channels after automated analysis.
3.7. Twilio
• Feature/Setting: Automated SMS collection; webhook on message receipt for feedback ingestion.
3.8. SendGrid
• Feature/Setting: Automates scheduled/summarized feedback report emails with triggers from analysis completion.
3.9. SurveyMonkey
• Feature/Setting: Automated response export; use API for real-time automation of feedback pipeline.
3.10. Google Sheets
• Feature/Setting: Autoupdate with new entries; Sheets API for automating data extraction and triggers.
3.11. AWS Comprehend
• Feature/Setting: Automates NLP sentiment and entity analysis—API configured in analysis step.
3.12. Google Cloud Natural Language
• Feature/Setting: Automate feedback sentiment and topic extraction via API calls.
3.13. IBM Watson NLU
• Feature/Setting: Automated text analysis flows; configure API for real-time feedback scoring.
3.14. Dialogflow
• Feature/Setting: Automate chatbot-triggered feedback analysis; webhook events to analysis pipeline.
3.15. Notion
• Feature/Setting: Automated database update; API configured for summary entry after automation.
3.16. Monday.com
• Feature/Setting: Automated item creation and status updates from analyzed feedback.
3.17. Airtable
• Feature/Setting: Automates record insertion and tagging using automation scripts.
3.18. Salesforce
• Feature/Setting: Automated service cloud cases from analyzed negative feedback.
3.19. HubSpot
• Feature/Setting: Trigger automated ticketing workflows for feedback requiring follow-up.
3.20. Freshdesk
• Feature/Setting: Automate support ticket generation when negative or urgent feedback is detected.
3.21. Trello
• Feature/Setting: Cards auto-created from actionable feedback; automate list moves based on sentiment.
3.22. Power BI
• Feature/Setting: Automated data ingestion; dashboards update with feedback summary in real time.
3.23. Tableau
• Feature/Setting: Automate feedback dashboard refresh via scheduled API data pulls.
Benefits
4.2. Ensures reporting is automated, eliminating manual compilation and error.
4.3. Enables automated compliance documentation with complete audit trails.
4.4. Automated feedback trends support proactive improvement strategies.
4.5. Multichannel automation for a unified feedback view across platforms.
4.6. Increases response speed by automating escalation of negative or critical feedback.
4.7. Reduces labor costs by automating repetitive analysis and reporting tasks.
4.8. Automates management insights driving decisions for Konkani cuisine restaurants.