SDI Data Analysis & Reporting 2

Question 1

A service desk manager notices that first-contact resolution (FCR) rates vary significantly between agents. Which analytical approach best identifies the root cause?

Accepted Answer

Segment FCR data by agent, ticket category, and shift to find patterns

Answer

Segmenting FCR by agent, ticket category, and shift isolates variables to pinpoint whether the variance is skill-, process-, or workload-driven.

Question 2

Which metric best measures the efficiency of a service desk's workload distribution?

Accepted Answer

Agent utilization rate as a percentage of available work time

Answer

Agent utilization rate directly reflects how effectively available capacity is being used relative to actual work time.

Question 3

When building a service desk dashboard, which principle ensures KPIs remain actionable rather than decorative?

Accepted Answer

Link each metric to a specific business outcome or decision

Answer

Tying each KPI to a business outcome ensures the data drives decisions rather than serving as a vanity display.

Question 4

A service desk wants to predict ticket volume spikes. Which data analysis technique is most appropriate?

Accepted Answer

Time-series forecasting using historical ticket volume data

Answer

Time-series forecasting models historical patterns and trends to predict future volume spikes.

Question 5

In SDI reporting, what does an 'abandoned call rate' exceeding the target threshold most directly indicate?

Accepted Answer

Customers are hanging up before being answered, pointing to understaffing or long wait times

Answer

A high abandoned call rate means callers disconnected before reaching an agent, which typically signals insufficient staffing or excessive queue times.

(SDI) Service Desk Institute Certifications Practice Test

(SDI) Service Desk Institute Certifications Practice Test

SDI Data Analysis & Reporting 2