frontend-user-impact-analysis

name	frontend-user-impact-analysis
description	Analyze slow AX frontends, problematic users/clients, broad inventory queries, and machine-wide impact without installing client parsers.

Frontend/User Impact Analysis

Use this skill when AX feels slow for users, a client action appears to slow the whole environment, or an operator needs to identify which user/client/query caused pressure without installing Trace Parser or client-side tooling.

Inputs

• Local evidence directory only.
• Preferred sources:
  • ax_live_blocking.csv
  • user_sessions.csv
  • sql_top_queries.csv
  • batch_tasks.csv
• Optional sources:
  • query_store_runtime.csv
  • trace_parser.csv
  • dynamicsperf.csv

Command

python scripts/frontend_user_usps.py --evidence evidence\<run> --output out\<run>\frontend-user-usp-pack.json
python scripts/generate_dashboard.py --evidence evidence\<run> --output out\<run>\<run>-dashboard.html

What It Produces

The analysis writes 20 concrete frontend/user features:

• AX User Friction Index
• Frontend Blast Radius Radar
• AX Form-to-SQL Attribution
• Misuse Pattern Detection
• Client Host Reputation Score
• Business Process Heatmap
• AX Performance Guardrails
• Smart User Coaching Pack
• AOS Drain Recommendation
• Critical Table Stress Index
• Read Amplification Detector
• Filter Quality Advisor
• Do-Not-Run-Together Matrix
• Incident Fingerprint Library
• AI Evidence-First Troubleshooter
• AX Slow Morning Detector
• SQL-to-AX Table Semantic Explainer
• Change Freeze Risk Advisor
• Executive Business Loss Estimator
• AX Modernization Pressure Index

Safety

This skill is read-only. It must only analyze local evidence files and write local output files. Do not write to the queried AX or SQL database.