各类别已解决主题和版主回复统计

SaraDev · 2024 年4 月 3 日 22:36

以下报告需要启用 Discourse Solved 插件。

以下数据探索查询旨在分析站点中每个类别内的主题，重点关注与解决主题和版主对主题的响应相关的指标。它们在指定的日期范围内运行，并可选择按类别名称进行过滤。这些查询假设所有类别中的主题都可以被解决。

管理员可以使用这些报告来了解不同类别中主题解决的有效性，并识别版主响应时间有待改进的领域。通过了解父类别和子类别中主题解决的动态，管理员可以做出明智的决策，以改善社区参与和支持。

这两个查询具有相同的参数，且结果非常相似。

参数

:start_date 和 :end_date：定义分析的时间范围。
:category_name：可选择将结果过滤到特定类别。

结果

date / date_range：报告数据的具体日期或时间段开始日期，并指定每行数据涵盖的时间粒度（月）。
parent_category_name / category_name：数据所属的类别或特定子类别的名称。
total_number_of_topics：在指定类别或子类别及日期范围内创建的帖子总数。
number_of_solved_topics：在指定类别或子类别及日期范围内被标记为已解决的帖子总数。
avg_time_to_solve_hours：将已解决帖子标记为已解决所需的平均时间，单位为小时。
percent_solved_under_24h：在发布后 24 小时内被解决的帖子百分比（不包括尚未解决的帖子）。
avg_solved_topics_moderator_time_to_first_response_hours：版主对最终被标记为已解决的帖子做出首次响应所需的平均时间，单位为小时。
avg_time_to_first_response_hours：帖子发布后收到首次响应所需的平均时间，单位为小时。
percent_all_topics_with_moderator_responses_under_24h：在发布后 24 小时内收到版主响应的所有帖子百分比。

按类别划分的已解决帖子和版主响应统计

此查询按主要（父）类别对结果进行分组。

--[params]
-- date :start_date = 2023-01-01
-- date :end_date = 2025-01-01
-- null string :category_name

WITH solved_topics AS (
    SELECT
        t.category_id,
        t.id AS topic_id,
        DATE_TRUNC('month', t.created_at) AS month,
        MIN(p.created_at) FILTER (WHERE p.id = dst.answer_post_id) AS solution_posted_at,
        MIN(p.created_at) FILTER (WHERE p.user_id = u.id AND u.moderator AND p.post_number > 1) AS first_moderator_response
    FROM topics t
    JOIN discourse_solved_solved_topics dst ON dst.topic_id = t.id
    JOIN posts p ON t.id = p.topic_id
    JOIN users u ON p.user_id = u.id
    WHERE t.archetype = 'regular'
    GROUP BY t.category_id, t.id, month
),
moderator_responses AS (
    SELECT
        topic_id,
        MIN(created_at) AS first_response
    FROM posts
    WHERE user_id IN (SELECT id FROM users WHERE moderator)
    AND post_number > 1
    GROUP BY topic_id
),
moderator_response_stats AS (
    SELECT
        pc.id AS parent_category_id,
        DATE_TRUNC('month', t.created_at) AS month,
        COUNT(*) FILTER (WHERE EXTRACT(EPOCH FROM (mr.first_response - t.created_at))/3600 < 24) AS topics_with_first_response_under_24h,
        COUNT(*) AS total_topics
    FROM topics t
    JOIN categories c ON t.category_id = c.id
    LEFT JOIN categories pc ON c.parent_category_id = pc.id OR c.id = pc.id -- 包括顶级类别作为其自身的父级
    LEFT JOIN moderator_responses mr ON t.id = mr.topic_id
    WHERE t.archetype = 'regular'
    AND t.created_at >= :start_date
    AND t.created_at <= :end_date
    GROUP BY pc.id, month
),
total_topics_per_category AS (
    SELECT
        pc.id AS parent_category_id,
        DATE_TRUNC('month', t.created_at) AS month,
        COUNT(*) AS total_number_of_topics
    FROM topics t
    JOIN categories c ON t.category_id = c.id
    LEFT JOIN categories pc ON c.parent_category_id = pc.id OR c.id = pc.id -- 包括顶级类别作为其自身的父级
    WHERE t.archetype = 'regular'
    AND t.created_at >= :start_date
    AND t.created_at <= :end_date
    GROUP BY pc.id, month
),
category_hierarchy AS (
    SELECT
        c.id AS category_id,
        c.name AS category_name,
        COALESCE(pc.id, c.id) AS parent_category_id, -- 如果没有父级，则使用类别本身
        COALESCE(pc.name, c.name) AS parent_category_name
    FROM categories c
    LEFT JOIN categories pc ON c.parent_category_id = pc.id
),
solved_stats AS (
    SELECT
        st.month,
        ch.parent_category_id,
        COUNT(*) AS number_of_solved_topics,
        AVG(EXTRACT(EPOCH FROM (st.solution_posted_at - t.created_at))/3600) AS avg_time_to_solve_hours,
        AVG(CASE WHEN EXTRACT(EPOCH FROM (st.solution_posted_at - t.created_at))/3600 < 24 THEN 1 ELSE 0 END) AS percent_solved_under_24h,
        AVG(EXTRACT(EPOCH FROM (mr.first_response - t.created_at))/3600) AS avg_time_to_first_response_hours,
        AVG(EXTRACT(EPOCH FROM (st.first_moderator_response - t.created_at))/3600) AS solved_topics_avg_time_to_first_response_hours,
        COALESCE(mrs.topics_with_first_response_under_24h::FLOAT / NULLIF(mrs.total_topics, 0), 0) AS percent_moderator_responses_under_24h
    FROM solved_topics st
    JOIN topics t ON st.topic_id = t.id
    JOIN category_hierarchy ch ON t.category_id = ch.category_id
    LEFT JOIN moderator_responses mr ON st.topic_id = mr.topic_id
    LEFT JOIN moderator_response_stats mrs ON ch.parent_category_id = mrs.parent_category_id AND DATE_TRUNC('month', t.created_at) = mrs.month
    WHERE t.created_at >= :start_date
    AND t.created_at <= :end_date
    GROUP BY st.month, ch.parent_category_id, mrs.topics_with_first_response_under_24h, mrs.total_topics
)
SELECT
    st.month::date AS date,
    'month' AS date_range,
    ch.parent_category_name,
    ttpc.total_number_of_topics,
    st.number_of_solved_topics,
    ROUND(st.avg_time_to_solve_hours::numeric,2) AS avg_time_to_solve_hours,
    ROUND((st.percent_solved_under_24h * 100)::numeric, 2) AS percent_solved_under_24h,
    ROUND(st.solved_topics_avg_time_to_first_response_hours::numeric,2) AS avg_solved_topics_moderator_time_to_first_response_hours,
    ROUND(st.avg_time_to_first_response_hours::numeric,2) AS avg_time_to_first_response_hours,
    ROUND((st.percent_moderator_responses_under_24h * 100)::numeric, 2) AS percent_all_topics_with_moderator_responses_under_24h
FROM solved_stats st
JOIN category_hierarchy ch ON st.parent_category_id = ch.parent_category_id
LEFT JOIN total_topics_per_category ttpc ON st.parent_category_id = ttpc.parent_category_id AND st.month = ttpc.month
WHERE (:category_name IS NULL OR ch.parent_category_name = :category_name)
GROUP BY date,st.month,ch.parent_category_name,ttpc.total_number_of_topics,st.number_of_solved_topics,st.avg_time_to_solve_hours,st.percent_solved_under_24h,st.solved_topics_avg_time_to_first_response_hours,st.avg_time_to_first_response_hours,st.percent_moderator_responses_under_24h
ORDER BY st.month, ch.parent_category_name

示例结果

date	date_range	parent_category_name	total_number_of_topics	number_of_solved_topics	avg_time_to_solve_hours	percent_solved_under_24h	avg_solved_topics_moderator_time_to_first_response_hours	avg_time_to_first_response_hours	percent_all_topics_with_moderator_responses_under_24h
2023-01-01	month	General Discussion	150	100	12.5	75.00	5.00	6.00	80.00

按子类别划分的已解决帖子和版主响应统计

此查询按子类别对结果进行分组。

--[params]
-- date :start_date = 2023-01-01
-- date :end_date = 2025-01-01
-- null string :category_name

WITH solved_topics AS (
    SELECT
        t.category_id,
        t.id AS topic_id,
        DATE_TRUNC('month', t.created_at) AS month,
        MIN(p.created_at) FILTER (WHERE p.id = ua.target_post_id) AS solution_posted_at,
        MIN(p.created_at) FILTER (WHERE p.user_id = u.id AND u.moderator AND p.post_number > 1) AS first_moderator_response
    FROM topics t
    JOIN posts p ON t.id = p.topic_id
    JOIN user_actions ua ON ua.target_topic_id = t.id AND ua.target_post_id = p.id
    JOIN users u ON p.user_id = u.id
    WHERE t.archetype = 'regular'
    AND ua.action_type = 15 -- 'accepted solution' 的操作类型
    GROUP BY t.category_id, t.id, month
),
moderator_responses AS (
    SELECT
        topic_id,
        MIN(created_at) AS first_response
    FROM posts
    WHERE user_id IN (SELECT id FROM users WHERE moderator)
    AND post_number > 1
    GROUP BY topic_id
),
moderator_response_stats AS (
    SELECT
        t.category_id,
        DATE_TRUNC('month', t.created_at) AS month,
        COUNT(*) FILTER (WHERE EXTRACT(EPOCH FROM (mr.first_response - t.created_at))/3600 < 24) AS topics_with_first_response_under_24h,
        COUNT(*) AS total_topics
    FROM topics t
    LEFT JOIN moderator_responses mr ON t.id = mr.topic_id
    WHERE t.archetype = 'regular'
    AND t.created_at >= :start_date
    AND t.created_at <= :end_date
    GROUP BY t.category_id, month
),
total_topics_per_category AS (
    SELECT
        category_id,
        DATE_TRUNC('month', created_at) AS month,
        COUNT(*) AS total_number_of_topics
    FROM topics
    WHERE archetype = 'regular'
    AND created_at >= :start_date
    AND created_at <= :end_date
    GROUP BY category_id, month
),
solved_stats AS (
    SELECT
        st.month,
        st.category_id,
        COUNT(*) AS number_of_solved_topics,
        AVG(EXTRACT(EPOCH FROM (st.solution_posted_at - t.created_at))/3600) AS avg_time_to_solve_hours,
        AVG(CASE WHEN EXTRACT(EPOCH FROM (st.solution_posted_at - t.created_at))/3600 < 24 THEN 1 ELSE 0 END) AS percent_solved_under_24h,
        AVG(EXTRACT(EPOCH FROM (mr.first_response - t.created_at))/3600) AS avg_time_to_first_response_hours,
        AVG(EXTRACT(EPOCH FROM (st.first_moderator_response - t.created_at))/3600) AS solved_topics_avg_time_to_first_response_hours,
        COALESCE(mrs.topics_with_first_response_under_24h::FLOAT / NULLIF(mrs.total_topics, 0), 0) AS percent_moderator_responses_under_24h
    FROM solved_topics st
    JOIN topics t ON st.topic_id = t.id
    LEFT JOIN moderator_responses mr ON st.topic_id = mr.topic_id
    LEFT JOIN moderator_response_stats mrs ON t.category_id = mrs.category_id AND DATE_TRUNC('month', t.created_at) = mrs.month
    WHERE t.created_at >= :start_date
    AND t.created_at <= :end_date
    GROUP BY st.month, st.category_id, mrs.topics_with_first_response_under_24h, mrs.total_topics
),
category_hierarchy AS (
    SELECT
        c.id AS category_id,
        c.name AS category_name,
        COALESCE(pc.name, c.name) AS parent_category_name
    FROM categories c
    LEFT JOIN categories pc ON c.parent_category_id = pc.id
)
SELECT
    st.month::date AS date,
    'month' AS date_range,
    ch.parent_category_name,
    ch.category_name,
    ttpc.total_number_of_topics,
    st.number_of_solved_topics,
    ROUND(st.avg_time_to_solve_hours::numeric,2) AS avg_time_to_solve_hours,
    ROUND((st.percent_solved_under_24h * 100)::numeric, 2) AS percent_solved_under_24h,
    ROUND(st.solved_topics_avg_time_to_first_response_hours::numeric,2) AS avg_solved_topics_moderator_time_to_first_response_hours,
    ROUND(st.avg_time_to_first_response_hours::numeric,2) AS avg_all_topics_moderator_time_to_first_response_hours,
    ROUND((st.percent_moderator_responses_under_24h * 100)::numeric, 2) AS percent_all_topics_with_moderator_responses_under_24h
FROM solved_stats st
JOIN category_hierarchy ch ON st.category_id = ch.category_id
LEFT JOIN total_topics_per_category ttpc ON st.category_id = ttpc.category_id AND st.month = ttpc.month
WHERE (:category_name IS NULL OR ch.parent_category_name = :category_name OR ch.category_name = :category_name)
ORDER BY st.month, ch.parent_category_name, ch.category_name

示例结果

date	date_range	parent_category_name	category_name	total_number_of_topics	number_of_solved_topics	avg_time_to_solve_hours	percent_solved_under_24h	avg_solved_topics_moderator_time_to_first_response_hours	avg_all_topics_moderator_time_to_first_response_hours	percent_all_topics_with_moderator_responses_under_24h
2023-01-01	month	General Discussion	Feedback	50	30	8.00	80.00	4.00	5.00	85.00

话题		回复	浏览量
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Average Staff Response Times to Topics Data & reporting sql-query	3	257	2024 年5 月 3 日
Topics solved by staff (lists topics) Data & reporting sql-query , solved	0	171	2018 年2 月 12 日

各类别已解决主题和版主回复统计

按类别划分的已解决帖子和版主响应统计

按子类别划分的已解决帖子和版主响应统计

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