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Data · Analysis

Support resolution-time bell curve

The support lead wants to explain the usual resolution time without reducing every ticket to one average. This distribution centres at eight hours and shows how many tickets fall into faster and slower bands. It can reveal whether a service target sits near the main body of the work or in the tail. Use a consistent time window and exclude tickets that were paused by the customer if the operational definition of resolution time does so. Before sharing it, compare the chart with the source table and make the scope explicit. A clear date range, population and unit help another reader interpret the pattern correctly and decide whether follow-up analysis is needed.

類型 折線圖引擎 echarts-line更新時間 2026/9/24
Pine & Co. Support Resolution Times
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需求

“Show a bell curve for Pine & Co. support tickets resolved in 2 to 14 hours, with the peak at 8 hours.”

接著試試Add a target line at 10 hours.Change the title to March support resolution times.
這張圖裡有什麼

看懂背後的決策。

01Set the scope

Use one reporting period and one clear unit.

02Read the pattern

Identify the largest concentration or directional change.

03Check the source

Confirm the displayed values against the underlying data.

Use this bell curve graph when the stated values and labels are the information the reader needs to compare.

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常見問題

常見問題

What does this bell curve graph show?

A bell curve graph plots the frequency of values around a central mean. When a dataset is approximately normal, the curve is highest near the mean and tapers on either side.

How should I read this bell curve graph?

Bell curve graphs are useful for discussing the centre and spread of a dataset, but they should not be used to assume normality without checking the data.

Can I adapt this bell curve graph example?

Yes. Replace the title, labels and values with your own data, then check that the prompt still describes every important element in the chart.