Tekhnika/customer-escalation-handling-and-resolution-quality-free

Customer Escalation Handling And Resolution Quality

Free sample for AI agent reliability dashboards, anomaly exploration, and observability-oriented analytics workflows.

What is included

• conversation_traces.csv: 3256 rows, 10 columns
• evaluation_sessions.csv: 1085 rows, 10 columns
• judge_actions.csv: 2171 rows, 10 columns
• quality_programs.csv: 27 rows, 10 columns
• quality_scorecards.csv: 253 rows, 10 columns
• review_outcomes.csv: 705 rows, 10 columns

Why this dataset is useful

• Good starter sample for an agent reliability dashboard or observability notebook.
• Useful for validating run-level and event-level analytics in Python, SQL, and BI tools.
• Lightweight enough for quick experiments while still matching the core workflow of the full starter pack.

Starter use cases

• Agent reliability baseline using run and event data.
• Observability dashboard for event severity, run behavior, and agent health patterns.

Schema overview

conversation_traces.csv

• Rows: 3256
• Columns: event_id, run_id, agent_id, trace_id, span_id, event_time, event_type, severity, component_name, message_template

evaluation_sessions.csv

• Rows: 1085
• Columns: run_id, agent_id, session_id, started_at, ended_at, run_status, goal_type, dataset_split, duration_ms, estimated_cost_usd

judge_actions.csv

• Rows: 2171
• Columns: tool_call_id, run_id, agent_id, started_at, ended_at, timeout_flag, tool_category, error_type, tool_name, latency_ms

quality_programs.csv

• Rows: 27
• Columns: agent_id, created_at, agent_type, tool_access_tier, status, traffic_tier, cost_profile, agent_name, team_name, region

quality_scorecards.csv

• Rows: 253
• Columns: metric_id, agent_id, metric_date, runs_total, success_rate, tool_error_rate, avg_cost_usd, user_satisfaction_score, incident_count, breach_count

review_outcomes.csv

• Rows: 705
• Columns: feedback_id, run_id, agent_id, feedback_time, resolution_time_min, issue_category, rating_score, thumbs_up_flag, hallucination_flag, resolved_flag

Free vs full version

• Free Kaggle sample: reduced rows, reduced columns, starter notebook, and enough linked observability tables to validate the core workflow.
• Full version: full row volume, richer feature coverage, tool and feedback tables, and extra starter assets for dashboard, SQL, and anomaly-analysis work.
• Full version: https://tekhnikalab.gumroad.com/l/customer-escalation-handling-and-resolution-quality

Upgrade to full version

• Full commercial version is available via Gumroad.
• Upgrade if you need the full linked schema plus starter assets that get you to a dashboard, SQL project, or anomaly baseline faster.

Notes

• Contains generated data only and no real personal data.
• Designed as a lightweight free sample for evaluation and discovery.