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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.

種類 折れ線グラフエンジン echarts-line更新日 2026/9/24
Pine & Co. Support Resolution Times
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依頼内容

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

次はこちらAdd a target line at 10 hours.Change the title to March support resolution times.
この図に含まれるもの

図の背後にある意思決定を読み解く。

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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よくある質問

よくある質問

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.