This is Lesson 3, the final lesson of our Amazon Connect Historical Metrics quiz series. It focuses on agent-level performance: how busy agents really are, how much of their logged-in time is productive, and how supervisors use historical data to coach teams and plan staffing.
Ten questions with instant answers, aimed at supervisors, team leads, workforce planners and anyone preparing for an Amazon Connect reporting interview.
Questions in this lesson
Try the quiz first, then use this list to revise the topics it covered:
- Which historical metric shows the percentage of time an agent spent handling contacts plus ACW relative to total staffed time?
- Why might a supervisor compare historical metrics across multiple weeks instead of just one day?
- What does the historical metric ‘Callback attempts’ or ‘Contacts Handled (connected to agent) – Outbound’ typically track?
- What unit are most Amazon Connect time-based metrics (like AHT, hold time) measured in?
- Which historical metric is useful to evaluate whether staffing levels matched demand across a full week?
- Can historical metrics reports be scheduled to run automatically and delivered periodically?
- What does ‘Average Contact Duration’ represent?
- How far back can standard historical metrics reports typically be generated in Amazon Connect (data retention for reporting)?
- Which historical metric would best indicate agents are struggling to keep up with call volume over the past week?
- What is the source of truth data used to compute historical metrics for a single contact?
Key concepts: Amazon Connect Historical Metrics
- Occupancy – the share of an agent’s available and on-contact time that was spent actually handling contacts. Very high occupancy for long periods leads to burnout; very low occupancy means overstaffing.
- Agent online time vs on-contact time – online time is everything the agent was logged in; on-contact time is only the time spent on calls, chats or tasks. The difference is idle, break and other non-productive time.
- Non-productive time – time in custom statuses such as Break, Lunch or Training. Tracking it by status shows where agent time goes outside customer work.
- Agent hierarchy reporting – grouping agents into levels such as site, team and supervisor so the same report can be read at every level of the organisation.
- Comparing intervals – supervisors compare the same metric across days or weeks to spot trends, for example AHT creeping up after a new product launch.
- Scheduled reports – historical reports can be saved and scheduled to run automatically and land in an S3 bucket as CSV files for further analysis.
How to use this quiz
Answer all ten questions, then open a historical report grouped by agent and find each metric in a real report so the definitions stick. This is the last lesson in the Amazon Connect Historical Metrics series. Browse more Amazon Connect quizzes to keep practising.
Keep learning
- Top 50 Amazon Connect interview questions
- Free Amazon Connect practice test with detailed explanations
- Live Amazon Connect training – every topic in this quiz is covered hands-on
Join our live, instructor-led Amazon Connect training: 17 modules, 75+ hours, 80% hands-on labs, rated 4.8★ by our trainees. Or test yourself first with our free practice exams.
