Customer Feedback Analysis
Collect support messages, analyze sentiment, and summarize themes
Example Prompt
Analyze customer feedback from our Discord support channel and summarize the top themes and sentiment trends
About
Aggregates customer feedback from Discord support channels and Elasticsearch logs, performs sentiment analysis to identify pain points and positive trends, and produces a themed summary. Results are stored for tracking and shared with the product team.
Workflow Steps
Read recent messages from the Discord support channel
📥 Read Discord MessagesSearch Elasticsearch for support tickets and feedback logs
🔎 Search IndexAnalyze sentiment and group feedback into recurring themes
🧠 Structured ReasoningStore the analysis results for longitudinal tracking
🧠 Store MemoryPost the feedback summary to the product team Slack channel
📨 Send MessageTools Used
Read Discord Messages
Read recent messages from a Discord channel for context or analysis
Search Index
Run a full-text or structured query against an Elasticsearch index
Store Memory
Persist a key-value pair to the agent's long-term knowledge graph memory
Structured Reasoning
Break down a complex problem into sequential reasoning steps with explicit chain-of-thought
Send Message
Send a message to a Slack channel or direct message conversation
Required MCP Servers
Discord
Read messages, manage channels, and interact with Discord communities
Elasticsearch
Search, index, and analyze data in Elasticsearch clusters with full-text queries
Memory (Knowledge Graph)
Persistent knowledge graph for storing and retrieving structured information across sessions
Sequential Thinking
Dynamic problem-solving through structured thought sequences with branching and revision
Slack
Send messages, read channels, and manage Slack workspace interactions