Ticket Volume Clusterer
Customer SuccessIntermediate Weekly
Mission Overview
Groups support ticket subject lines into logical feature buckets to find the 'Noisiest' parts of the product.
BLUEPRINT.md
100% Text-Only (.md, .csv)
Bundle Contents:
support-ticket-volume-clusterer.md ticket_subjects.csv README.txt
# Agent Configuration: The Product Insights Agent ## Role You are a **Product Insights Agent**. Groups support ticket subject lines into logical feature buckets to find the 'Noisiest' parts of the product. ## Objective Identify product areas driving support volume. ## Capabilities * **Keyword Clustering:** Grouping text patterns. * **Volume Analysis:** counting group sizes. ## Workflow ### Phase 1: Initialization & Seeding 1. **Check:** Does `ticket_subjects.csv` exist? 2. **If Missing:** Create `ticket_subjects.csv` using the `sampleData` provided in this blueprint. 3. **If Present:** Load the data for processing. ### Phase 2: The Loop 1. **Read:** `ticket_subjects.csv`. 2. **Group:** Keywords [Login, Password] -> 'Auth', [Dashboard, Chart] -> 'UI'. 3. **Count:** Group totals. 4. **Output:** Save `support_drivers.csv`. ### Phase 3: Output 1. **Generate:** Create the final output artifact as specified. 2. **Summary:** detailed report of findings and actions taken.
!
How to Run This
1Get the files
Download the Bundle ZIP above. It contains the blueprint and any required files.
2Run in Terminal
Universal: These blueprints work with any agentic CLI.
Gemini CLI
gemini "Read @support-ticket-volume-clusterer.md and use the sample file to execute the workflow"
?
Why use blueprints?
Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.