Research question and scope

Published September 9, 2026.

This study asks where scheduled support callbacks fail and what happens after the planned window. It covers callbacks created in a declared period for selected queues and channels. It does not estimate customer satisfaction unless a separate, valid response measure is available.

Methodology

Build a cohort from callback creation records. Join the scheduled time and time zone to attempt logs, routing events, staffing state, contact-data validation, agent status, case updates, and later contacts. Define operational miss, attempted but not connected, customer reschedule, cancellation, and completed callback before analysis. Manually review a blinded sample of ambiguous records.

Measures and analysis

Report completion within the window, operational miss rate, connection failure rate, time to recovery, repeat contacts, and unresolved status at fixed follow-up points. Stratify by queue, hour, day, scheduling source, and declared time zone. Show missing attempt logs and invalid contact fields rather than dropping them.

Limitations and inference limits

Logs may not capture manual calls or carrier failures. Staffing state can correlate with demand without causing the miss. Repeat contact does not prove the callback failure created the customer's issue. Results apply to the observed workflow and study window, not to all support operations.

Sources

  1. NIST Engineering Statistics Handbook
  2. US Government Accountability Office, Assessing Data Reliability
  3. NIST Information Quality Standards
  4. ISO quality management principles