Plain-language questions
Ask for tickets per agent per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Customer service
Tickets per agent is the number of tickets resolved in a period divided by the number of agents or FTE in customer service. It gives an indication of the team's workload and productivity and helps with staffing plans. Always read it together with quality measures such as CSAT and reopen rate.
Number of resolved tickets in the period ÷ number of FTE in customer service
In March Acme Groothandel's customer service team had 8 FTE and resolved 1,150 tickets. That is 1,150 ÷ 8 = 143.75, or around 144 tickets per FTE per month.
Fictitious figures for Acme Groothandel, a sample wholesaler.
A rising number of tickets per FTE can mean the team is working more efficiently, but also that the workload is getting too high. So look at resolution time, CSAT and reopen rate at the same time. Only compare agents who handle similar tickets: whoever gets the difficult requests closes fewer per day.
SQL & DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
SELECT date_trunc('month', resolved_at)::date AS month,
COUNT(*) AS resolved_tickets,
COUNT(DISTINCT agent_id) AS active_agents,
ROUND(COUNT(*)::numeric / NULLIF(COUNT(DISTINCT agent_id), 0), 1) AS tickets_per_agent
FROM tickets
WHERE resolved_at IS NOT NULL
AND resolved_at >= current_date - interval '12 months'
GROUP BY 1
ORDER BY 1;Resolved Tickets = CALCULATE(COUNTROWS(Tickets), NOT ISBLANK(Tickets[ResolvedAt]))
Tickets per Agent =
DIVIDE([Resolved Tickets], CALCULATE(DISTINCTCOUNT(Tickets[AgentId]), NOT ISBLANK(Tickets[ResolvedAt])))In ENABLE
Ask for tickets per agent per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Divide the number of tickets resolved in a period by the number of FTE in customer service. With 1,150 resolved tickets and 8 FTE, that is around 144 tickets per FTE per month. Use FTE and allow for absence.
Tickets per agent measures how many tickets someone resolves in a period, handle time how much active time each contact takes. A lower handle time allows more tickets per agent, but only if there is enough incoming work.
Work it out from expected inflow, average handle time and your service standards. Divide the expected number of tickets by the number one FTE can resolve at the quality you want, and keep a margin for peaks and absence.
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