Create beginner Works with: Any AI

Support Metrics Pack for a Small Team

Table output Has example

Choose a short list of measures and read them properly.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Create a metrics pack. Ticket data available: [TICKET_DATA]. Targets: [TARGETS]. Team size: [TEAM_SIZE]. Tool: [SUPPORT_TOOL].

Choose six measures: first response time, resolution time, tickets per day, reopen rate, customer satisfaction score and backlog. For each give a definition, formula, how to avoid distortion (use medians for time, exclude spam) and what action a change should trigger. Calculate each from my sample data with arithmetic.

Return a one-page monthly layout, a glossary, and the dangers of using these numbers to rank people. Suggest looking at the oldest open tickets and a sample of conversations each week, since numbers miss quality.

Add the calculation of median first response time with a small invented example: response times of 5, 8, 12, 40 and 300 minutes have a median of 12 minutes, whereas the average is 73 minutes, so the median describes the typical case better. Add a note on satisfaction scores: response rates, the number of responses behind each percentage, and the danger of comparing teams with different customers.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Invented response times for five tickets: 5, 8, 12, 40 and 300 minutes.
Median = 12 minutes. Average = (5 + 8 + 12 + 40 + 300) / 5 = 365 / 5 = 73 minutes. The median describes a typical ticket better.
Tickets this month 400, reopened 20: reopen rate = 20 / 400 = 5 percent.
Satisfaction: 90 responses, 72 positive = 80 percent; only 22.5 percent of tickets produced a rating, so read it cautiously.
Warning: do not rank agents on these numbers; use them to find process problems.

• metrics