Documentation
README
pm-feedback β User feedback analysis
Part of the Personal Corp framework β running a one-person business through AI agents. Structure raw feedback into a decision-driving insight report. Built-in classification, sentiment, theme clustering, NPS, trend analysis, source triangulation, and persona extraction.
Inputs
| Field | Required | Notes |
|---|---|---|
| Feedback data | yes | Excel / CSV / pasted text / review screenshots |
| Purpose | no | Product improvement / satisfaction / topic-specific (e.g. post-launch reaction); default product improvement |
| Time range | no | For freshness tagging and trend analysis |
| Source channels | no | Multiple channels enable triangulation |
This is the opening of the README. Read the full README on GitHub.