user-feedback-clusterer

name	user-feedback-clusterer
description	Group user feedback into themes, bugs, requests, sentiment, and confusion points. Use when analyzing feedback corpora.

User Feedback Clusterer

Overview

Group user feedback into themes, bugs, requests, sentiment, and confusion points.

Core Workflow

1. Gather the full input corpus and normalize messy, repetitive, or partial artifacts into a usable working set.
2. Cluster related items into themes, categories, or issue groups without flattening important differences.
3. Extract the strongest signals, representative examples, and unresolved questions from each cluster.
4. Produce a structured summary that is actionable for the next human or agent in the workflow.

Deliver

• A clear thematic summary or grouped output with representative evidence.
• The most important patterns, edge cases, and unknowns in the corpus.
• Actionable next steps, owners, or decisions when the task calls for them.

Guardrails

• Do not over-merge distinct issues just to simplify the summary.
• Preserve nuance when a cluster contains disagreement or uncertainty.
• Make the grouping logic legible enough that someone can audit it later.
• Do not invent metrics, policy decisions, customer commitments, or ownership that the inputs do not support.