22 lines
1.0 KiB
JSON
22 lines
1.0 KiB
JSON
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{
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"name": "工单处理效率分析",
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"description": "分析不同问题类型和模块的工单关闭时长，识别处理瓶颈。",
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"tags": [
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"关闭时长",
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"问题类型",
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"模块",
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"效率"
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],
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"preset_queries": [
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{
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"purpose": "计算每个问题类型的平均关闭时长，识别处理最慢的问题类型。",
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"sql": "SELECT 问题类型, ROUND(AVG(关闭时长_天), 2) AS 平均关闭时长 FROM tickets GROUP BY 问题类型 ORDER BY 平均关闭时长 DESC LIMIT 10"
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},
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{
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"purpose": "计算每个模块的平均关闭时长，识别处理最慢的模块。",
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"sql": "SELECT 模块, ROUND(AVG(关闭时长_天), 2) AS 平均关闭时长 FROM tickets GROUP BY 模块 ORDER BY 平均关闭时长 DESC LIMIT 10"
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}
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],
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"exploration_hints": "查看平均关闭时长高的问题类型和模块，结合跟踪记录和处理过程，分析是否存在流程问题或资源分配不均。关注关闭时长分布的异常值。",
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"placeholders": {}
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}
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