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: eventid, runid, agentid, traceid, spanid, eventtime, eventtype, severity, componentname, message_template

evaluation_sessions.csv

• —Rows: 1085
• —Columns: runid, agentid, sessionid, startedat, endedat, runstatus, goaltype, datasetsplit, durationms, estimatedcost_usd

judge_actions.csv

• —Rows: 2171
• —Columns: toolcallid, runid, agentid, startedat, endedat, timeoutflag, toolcategory, errortype, toolname, latency_ms

quality_programs.csv

• —Rows: 27
• —Columns: agentid, createdat, agenttype, toolaccesstier, status, traffictier, costprofile, agentname, team_name, region

quality_scorecards.csv

• —Rows: 253
• —Columns: metricid, agentid, metricdate, runstotal, successrate, toolerrorrate, avgcostusd, usersatisfactionscore, incidentcount, breach_count

review_outcomes.csv

• —Rows: 705
• —Columns: feedbackid, runid, agentid, feedbacktime, resolutiontimemin, issuecategory, ratingscore, thumbsupflag, hallucinationflag, resolvedflag

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.