Complaint mining: themes, severity and real quotes — as a finished document

The scenario gathers complaints and reviews, rates the severity of each, groups the themes and pulls the quotes, then files everything as a finished document.

  • Thousands of texts reduced to a list of real problems
  • Every theme comes with severity and frequency, not just a mention
  • Real customer quotes back up every conclusion
  • The report lands in your documents, ready to show the team
n8n Form
Set it upScriptera

How it works

To connect Elasticsearch and Web Form, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: On form submission
  2. Then: Verbatim Quotes Agent
  3. Then: Wait
  4. Then: Split Out
  5. Then: Pain Level Identifier
  6. Then: Wait1
  7. Then: pain level
  8. Check: Merge
  9. Check: Merge1
  10. Then: Aggregate
  11. Then: Analyzer Agent
  12. Then: Information Extractor
  13. Check: Merge3
  14. Check: Merge2
  15. Then: AI Agent
  16. Then: Create a document
  17. Then: Update a document
  18. Then: Keyword Agent
  19. Then: total mentions
  20. Then: Wait2
  21. Then: Split Out1
  22. Then: Structured Output Parser
  23. Then: Google Gemini Chat Model2
  24. Then: Structured Output Parser1
  25. Then: olostep

You can launch this Elasticsearch + Web Form integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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