Customer satisfaction and feedback trend analysis

Purpose

1. To automate the process of collecting, aggregating, analyzing, and visualizing customer feedback for a Bakso restaurant, enabling automated customer satisfaction scoring and trend analysis over multiple channels for performance analytics and business intelligence.

2. To automatedly trigger responses, prioritize managerial intervention, automate actionable reporting, and set up proactive alerts for dips in satisfaction, helping the restaurant to automate data-driven improvement cycles reliably.

Trigger Conditions

1. New feedback submission via web forms, SMS, WhatsApp, email, or review platforms.

2. Threshold breach in satisfaction scores or sentiment (e.g., 3 consecutive negative reviews).

3. Scheduled time, such as end-of-day, week, or month for automated aggregation and reporting.

4. Notified change in online review ratings or NPS scores.

Platform Variants

1. Google Forms

• Feature/Setting: Automate feedback form submissions via "Form Response" trigger; use Google Forms API for auto-fetching data.
  

2. Typeform

• Feature/Setting: Automated Webhook integration with Typeform Responses API for live data push.
  

3. SurveyMonkey

• Feature/Setting: SurveyMonkey Webhooks for automated data extraction upon survey completion.
  

4. Twilio SMS

• Feature/Setting: Configure Twilio Programmable SMS for automated customer feedback via SMS and trigger automation on inbound SMS events.
  

5. WhatsApp Business API

• Feature/Setting: Automate feedback collection on message receipt; use Message Received Webhook for triggering analysis.
  

6. Facebook Messenger API

• Feature/Setting: Messenger Webhook for automated collection whenever a customer messages feedback.
  

7. Google My Business API

• Feature/Setting: Automate pulling new reviews using Google My Business Reviews endpoint.
  

8. Yelp Fusion API

• Feature/Setting: Automate fetching new Yelp reviews for sentiment analysis via the Yelp API.
  

9. TripAdvisor Content API

• Feature/Setting: Automate gathering TripAdvisor reviews for automated trend tracking.
  

10. Zendesk

• Feature/Setting: Automate ticket creation from feedback for workflow automation; use Zendesk Tickets API trigger.
  

11. Freshdesk

• Feature/Setting: New Ticket Trigger — automate feedback tickets and tag with sentiment for automating escalation.
  

12. HubSpot CRM

• Feature/Setting: Use Feedback Surveys API for automatic data sync and workflow automation.
  

13. Salesforce Service Cloud

• Feature/Setting: Automate case creation on feedback; configure Feedback Record trigger via REST API.
  

14. Microsoft Power Automate

• Feature/Setting: Configure automated flows triggered by feedback collection events with connectors for sentiment analysis.
  

15. Zapier

• Feature/Setting: Feedback form triggers automated by "New Entry" action and automator pipeline for analysis/syncing.
  

16. Mailchimp

• Feature/Setting: Automate follow-up surveys using Email Campaign Activity and automated response collection.
  

17. Slack

• Feature/Setting: Feedback Bot integrations for automated collection and notification using Events API.
  

18. Microsoft Teams

• Feature/Setting: Incoming Webhook for automated feedback notifications in channel; Teams Bot Framework for interactive surveys.
  

19. Python NLTK/SpaCy

• Feature/Setting: Automated sentiment analysis pipeline using spaCy Sentiment or NLTK Vader libraries in Python scripts via REST API endpoints.
  

20. Google Data Studio

• Feature/Setting: Automated visual dashboard update using feedback data sources API; trigger scheduled data refreshes.
  

21. Tableau

• Feature/Setting: Automated data ingestion for feedback and satisfaction trend visualization via Tableau REST API.
  

22. Power BI

• Feature/Setting: Automated feedback data push to Power BI dataset via Power BI API for real-time dashboards.
  

Benefits

1. Automates feedback collection, reducing manual effort and error.

2. Enables automated sentiment and trend analysis for ongoing improvement.

3. Automatedly triggers alerts and managerial actions on negative feedback.

4. Automates real-time performance analytics for intelligent, data-driven decisions.

5. Automatable multi-platform feedback sources unify customer experience data for holistic analytics.

6. Supports automated reporting, saving time and operational resources.

7. Automating the full feedback loop improves customer satisfaction and competitive advantage automatedly.