Web feedback tool

The web feedback tool collects structured user opinions about specific web pages. Target users include product managers, UX researchers, marketing analysts, and customer-support teams who need quick, comparable insights after visits or campaigns. It standardizes data to enable trend analysis, issue detection, and prioritization of improvements.
Core capabilities are grouped into required and optional. Required: fields for page_url and rating (1–5), optional feedback_text, automated sentiment scoring, basic categorization, and aggregated metrics. Optional/advanced: topic extraction, keyword tagging, sentiment drift over time, cross-page comparisons, and API/export hooks. Validation enforces URL format, rating bounds, and input lengths. Data is timestamped for longitudinal analysis.
Outputs include a per-item sentiment score, overall score, rating distribution, and exportable reports in JSON/CSV. Reports can feed analytics pipelines or product reviews, while dashboards summarize page health and user sentiment. The tool is designed for iterative optimization, not full survey orchestration, and it preserves privacy by redacting sensitive fields when exporting.
Unique value lies in combining structured numeric ratings with contextual feedback and lightweight NLP to produce actionable tags and trends without heavy setup or UI dependencies.