Purpose
1.2. Automates intake of feedback from multiple digital sources to consolidate sentiment and actionable insights.
1.3. Automator identifies emerging topics, aggregates suggestions, and disseminates reports to public space managers and stakeholders.
Trigger Conditions
2.2. Manual trigger by staff to prompt feedback collection or initiate an automated trend analysis report.
2.3. Scheduled (time-based) trigger—for example, weekly aggregation and reporting of community engagement data.
Platform Variants
3.1. Microsoft Power Automate
• Feature/Setting: Automate connection to Forms and Teams; automate scheduled collection and trend analysis via AI Builder sentiment analytics.
3.2. Google Cloud Natural Language API
• Feature/Setting: API endpoint to automate sentiment and entity recognition from user-submitted feedback forms.
3.3. Qualtrics API
• Feature/Setting: Survey feedback automatedly exported and analyzed; API for trend detection.
3.4. Facebook Graph API
• Feature/Setting: Automates extraction of public comments and reviews on promenade pages using /comments and /ratings endpoints.
3.5. Twitter API (X API v2)
• Feature/Setting: Automates search and stream endpoints for real-time community mentions and hashtags regarding the promenade.
3.6. Google Sheets + Apps Script
• Feature/Setting: Automate intake of feedback forms, trigger custom scripts to mark trends, automate email reports.
3.7. Zendesk
• Feature/Setting: Ticket automation and triggers for each community feedback case, using ‘Automations’ and ‘Triggers’ admin modules.
3.8. Salesforce Service Cloud
• Feature/Setting: Cases and Community Cloud integration for automating escalations and pattern/keyword detection using Einstein AI.
3.9. Airtable Automations
• Feature/Setting: Automate feedback submission forms, run scheduled trend reports, send notifications via integrations.
3.10. SurveyMonkey API
• Feature/Setting: Automates survey response collection; automate exports for external trend analysis systems.
3.11. Slack
• Feature/Setting: Automated channel messages when new feedback is received; trigger workflow automations for response or reporting.
3.12. Microsoft Teams
• Feature/Setting: Automates bot or connector to post community feedback summaries into dedicated channels.
3.13. Tableau Public
• Feature/Setting: API connection for automatedly importing feedback data to create real-time visual trend dashboards.
3.14. Zapier
• Feature/Setting: Multi-app automator, connect Typeform, Twitter, Facebook, and Sheets for consolidated workflow automation.
3.15. HubSpot Service Hub
• Feature/Setting: Automate ticket generation from community feedback; analytics pipeline for trend reporting.
3.16. Monday.com
• Feature/Setting: Automated boards for tracking and tagging feedback, automating recurring reports.
3.17. Notion API
• Feature/Setting: Automates collection of feedback entries to databases, trigger automation for tagging and trend review.
3.18. Google Data Studio
• Feature/Setting: Automatedly fetch and visualize promenade feedback trends from spreadsheets or APIs.
3.19. Mailchimp
• Feature/Setting: Automated campaigns for follow-up surveys and notifications; gathering engagement analytics for trend automation.
3.20. Trello Automation
• Feature/Setting: Create cards for categorized feedback, automate notifications for trending topics.
3.21. Intercom
• Feature/Setting: Automates in-app messaging for feedback collection; reporting feature automates trend analysis of conversation data.
Benefits
4.2. Automation removes manual effort, reduces errors, and enhances the frequency and accuracy of community engagement analysis.
4.3. Automator ensures feedback from diverse channels is unified and actionable insights are delivered promptly.
4.4. Scalable automation enables tracking of sentiment changes, recurring issues, and the overall community satisfaction with minimal intervention.
4.5. Eliminates data silos through cross-platform workflow automation, ensuring comprehensive promenade trend visibility.