Customer feedback collection and sentiment analysis

Purpose

1.1. Automate customer feedback collection, aggregation, and sentiment analysis to continuously improve menu, service, and ambience for Japanese regional restaurants.
1.2. Automates personalized follow-ups and reviews requests to increase participation.
1.3. Enables automated sentiment detection for insights into customer satisfaction trends and complaint detection.
1.4. Automates dashboard and report generation for management decision-making and operational improvements.

Trigger Conditions

2.1. Automatedly triggered on purchase completion or table bill payment.
2.2. Automates after online booking or order delivery confirmation.
2.3. Periodic automation (weekly/monthly) for surveys to loyalty program customers.
2.4. Manuel trigger by staff in POS or CRM for ad-hoc feedback cycles.

Platform Variants

3.1. Twilio SMS
• Feature/Setting: Use Programmable SMS API to automate feedback requests via SMS post-meal; configure message templates and webhook for replies.

3.2. SendGrid
• Feature/Setting: Automates email-based surveys with the Marketing Campaigns API; configure survey links and contact segmentation.

3.3. SurveyMonkey
• Feature/Setting: Webhooks or API automator to generate, send, and collect automated feedback surveys; analyze response data automatically.

3.4. Google Forms
• Feature/Setting: Use Google Forms API to automate form creation/response collection and automate sentiment tagging via Apps Script.

3.5. Typeform
• Feature/Setting: Automates conversational feedback survey distribution via Typeform API; collect results for automated analysis.

3.6. Microsoft Power Automate
• Feature/Setting: Automate triggers from POS/CRM to send feedback requests and sentiment analysis using cognitive services.

3.7. Salesforce
• Feature/Setting: Automates customer journey with Feedback Management API, automatically triggers surveys post-transaction.

3.8. Zendesk
• Feature/Setting: Automate CSAT survey requests using Triggers/Automations module post-support interaction.

3.9. HubSpot
• Feature/Setting: Automates NPS/feedback email campaigns via Workflows; feedback automatically logged in CRM.

3.10. Facebook Messenger (Meta API)
• Feature/Setting: Automate survey bot via Messenger Send API; collect & automate feedback sentiment labeling.

3.11. LINE Messaging API
• Feature/Setting: Automates survey dispatch through channel messaging and reply handling; sentiment model can analyze incoming feedback.

3.12. WhatsApp Business API
• Feature/Setting: Automates customer feedback collection via template messages and automates sentiment evaluation on responses.

3.13. Slack
• Feature/Setting: Automates feedback bot integration using Slack API; responses routed for automated sentiment analysis.

3.14. Zapier
• Feature/Setting: Automates multi-platform survey routing and sentiment analysis using webhooks and integrations.

3.15. Qualtrics
• Feature/Setting: Automates customer feedback survey distribution and automatically performs sentiment analysis using Text iQ.

3.16. Google Cloud Natural Language API
• Feature/Setting: Automates sentiment analysis extraction from feedback text; integrates via REST API.

3.17. IBM Watson Natural Language Understanding
• Feature/Setting: Sentiment analysis configuration to automate processing of collected customer remarks.

3.18. Mailchimp
• Feature/Setting: Email automator for scheduled or event-based survey campaigns, with campaign activity reporting.

3.19. Freshdesk
• Feature/Setting: Automated ticket closure triggers feedback survey to customer via Feedback Automation module.

3.20. AirTable
• Feature/Setting: Automates logging, organizing, and dashboarding of feedback and sentiment scores using AirTable API plus script automations.

3.21. Telegram Bot API
• Feature/Setting: Automator bot dispatches feedback surveys; scrapes and tags sentiment in responses.

3.22. Google Sheets
• Feature/Setting: Automates intake and categorization of feedback using Sheets API; sentiment scripts automate tagging.

Benefits

4.1. Automated and omnichannel feedback collection increases response rates and saves staff time.
4.2. Sentiment analysis is automatedly aggregated for instant insights, enabling immediate service quality improvement.
4.3. Eliminates manual processes, reducing operational costs and error via automation.
4.4. Automates escalation of negative feedback to management for timely intervention in customer retention.