FlowSync
Open App
中文
FreeResearch4 nodes
Score 68

Customer Feedback Analyzer

Export reviews or survey data as CSV — LLM classifies sentiment, extracts feature requests and pain points, prioritises by frequency, generates an actionable insight report for product teams.

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What does this workflow do?

Drop your csv — the pipeline runs 4 automated steps: Pandas (csv→json) → LLM Reasoning (json→json) → LLM Reasoning (json→markdown) → Python-DOCX (markdown→docx) — and delivers docx. Every node is visible, auditable, and replaceable.

System flow

1. Pandas — Tabular compute — join, aggregate, validate and reshape the extracted records 2. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. Python-DOCX — Renders the final Word document with headings, tables and styling

Pipeline breakdown

Pandas csv LLM Reasoning json LLM Reasoning json Python-DOCX markdown
  1. Pandas pandas — Tabular compute — join, aggregate, validate and reshape the extracted records csv → json
  2. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → markdown
  4. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling markdown → docx

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

68Overall
★★★★★ 4.1
▶Executions
25
✓Success rate
95
↻Update frequency
65
⚙Component quality
85
★User rating
82

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

Pandaspandas

Tabular compute — join, aggregate, validate and reshape the extracted records

pandas-dev/pandas ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Python-DOCXpython-docx

Renders the final Word document with headings, tables and styling

python-openxml/python-docx ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • App store review analysis
  • NPS survey processing
  • Support ticket theme extraction
  • Product feedback triage

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · FREE tier · Official

Data handling

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync Workflow Marketplace · 68 reputation score · 25% execution · 95% success · 4-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Export reviews or survey data as CSV — LLM classifies sentiment, extracts feature requests and pain points, prioritises by frequency, generates an actionable insight report for product teams.

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