Function Overview
This skill is used for regular analysis of recruitment data, progress reporting, and optimization suggestions, and supports daily, weekly, and monthly scheduled tasks.
Scheduled Task Types
Task 1: Daily Recruitment Progress Report
Trigger Time: Before 10:00 AM on each workday
Execution Content:
## 📋 招聘进展日报 - [日期]
1. Overview of Progress for Each JD
| JD Name | Status | Candidates Viewed | High Match (4-5 stars) | Greeted | Interview Arrangements | Next Step |
|---|---|---|---|---|---|---|
| [JD1] | 🟡 In Progress | X | X | X | X | [Description] |
| [JD2] | 🟢 Not Started | 0 | 0 | 0 | 0 | Waiting for confirmation |
2. Yesterday's Data Statistics
| Metric | Value | Description |
|---|---|---|
| New Candidates | X | Newly viewed yesterday |
| High Match Ratio | XX% | Proportion of 4-5 star candidates |
| Greetings Sent | X | Number sent yesterday |
| Greeting Responses | X | Number of replies received |
| Response Rate | XX% | Responses/Sent |
| Interview Arrangements | X | Arranged yesterday |
3. Detailed Data for Each JD
[JD1 Name]
- Current Status: [Status]
- Candidate Distribution:
- 5 stars: X
- 4 stars: X
- 3 stars: X
- 2 stars: X
- 1 star: X
- Key Findings:
- [Finding 1]
- [Finding 2]
- Next-Step Plan:
- [Plan 1]
- [Plan 2]
4. Problems Identified
-
[Problem 1 Title]
- Description: [Problem Description]
- Impact: [Impact Scope]
- Suggestion: [Preliminary Suggestion]
-
[Problem 2 Title]
- Description: [Problem Description]
- Impact: [Impact Scope]
- Suggestion: [Preliminary Suggestion]
5. Optimization Suggestions
1. JD Optimization Suggestions
- [JD1]: [Specific Suggestion]
- [JD2]: [Specific Suggestion]
2. Search Strategy Optimization
- [Suggestion 1]
- [Suggestion 2]
3. Communication Script Optimization
- [Suggestion 1]
- [Suggestion 2]
6. Need Your Confirmation
- Confirmation Item 1: [Content]
- Confirmation Item 2: [Content]
- Confirmation Item 3: [Content]
Reporting Time:[Time] Next report:[Tomorrow/Next Monday]
---
### 任务二:每周招聘总结报告
**触发时间**:每周一上午 10:00
**执行内容**:
```markdown
## 📊 招聘周报 - [开始日期] ~ [结束日期]
### 一、本周整体数据概览
| 指标 | 数值 | 较上周 |
|------|------|--------|
| 活跃JD数 | X个 | +X/-X |
| 查看候选人 | X位 | +X/-X |
| 高匹配度(4-5星) | X位 | +X/-X |
| 发送打招呼 | X位 | +X/-X |
| 收到响应 | X位 | +X/-X |
| 安排面试 | X位 | +X/-X |
| 完成录用 | X位 | +X/-X |
### 二、各JD详情
#### [JD1名称]
- **状态**:[状态]
- **本周数据**:
- 新增查看:X位
- 高匹配度:X位
- 打招呼:X位
- 面试:X位
- **候选人评分分布**:
- 5星:X位 (XX%)
- 4星:X位 (XX%)
- 3星:X位 (XX%)
- 2星:X位 (XX%)
- 1星:X位 (XX%)
- **亮点与问题**:
- 亮点:[描述]
- 问题:[描述]
### 三、渠道效果分析
| 招聘平台 | 查看人数 | 高匹配度 | 响应率 | 面试率 | 录用率 | ROI评分 |
|---------|---------|---------|--------|--------|--------|---------|
| BOSS直聘 | X位 | X位 | XX% | XX% | XX% | ⭐⭐⭐ |
| LinkedIn | X位 | X位 | XX% | XX% | XX% | ⭐⭐⭐⭐ |
| 猎聘 | X位 | X位 | XX% | XX% | XX% | ⭐⭐ |
**渠道优化建议**:
- [建议1]
- [建议2]
### 四、招聘漏斗分析
View candidates (X) ↓ High match (X) - Conversion rate XX% ↓ Send greeting (X) - Conversion rate XX% ↓ Receive response (X) - Conversion rate XX% ↓ Arrange interview (X) - Conversion rate XX% ↓ Complete hiring (X) - Conversion rate XX%
**漏斗瓶颈分析**:
- 主要瓶颈:[环节]
- 优化建议:[建议]
### 五、市场洞察
#### 1. 薪资分布分析
- **[职位1]**:[薪资范围]
- **[职位2]**:[薪资范围]
- **市场趋势**:[趋势描述]
#### 2. 热门技能分析
- 本周热门技能1:[技能名称] - 出现频率 XX%
- 本周热门技能2:[技能名称] - 出现频率 XX%
- 本周热门技能3:[技能名称] - 出现频率 XX%
#### 3. 人才供需分析
- **供给情况**:[描述]
- **需求情况**:[描述]
- **建议**:[建议]
### 六、优化建议与策略调整
#### 1. JD优化建议
| JD名称 | 当前问题 | 优化建议 | 优先级 |
|--------|---------|---------|--------|
| [JD1] | [问题] | [建议] | 高 |
| [JD2] | [问题] | [建议] | 中 |
#### 2. 评分标准优化
- **当前权重**:经验30%、技能25%、学历15%、行业15%、薪资10%、其他5%
- **优化建议**:[具体调整建议]
- **理由**:[数据支撑理由]
#### 3. 搜索策略调整
- **当前策略**:[描述]
- **问题**:[描述]
- **调整建议**:[具体建议]
#### 4. 沟通话术优化
- **打招呼话术**:[当前话术] → [建议话术]
- **面试邀请话术**:[当前话术] → [建议话术]
### 七、下周工作计划
#### 1. 重点任务
- [ ] 任务1:[描述] - 负责人:[角色] - 截止时间:[时间]
- [ ] 任务2:[描述] - 负责人:[角色] - 截止时间:[时间]
- [ ] 任务3:[描述] - 负责人:[角色] - 截止时间:[时间]
#### 2. 重点JD
- **优先级1**:[JD名称] - [目标]
- **优先级2**:[JD名称] - [目标]
- **优先级3**:[JD名称] - [目标]
### 八、需要您决策
1. **[决策事项1]**
- 选项A:[描述]
- 选项B:[描述]
- 建议:[建议选项]
2. **[决策事项2]**
- 选项A:[描述]
- 选项B:[描述]
- 建议:[建议选项]
---
**报告生成时间**:[时间]
**上周周报**:[链接]
**下周预报**:下周一上午10点
Task 3: Monthly Recruitment Data Analysis Report
Trigger time:Every month on the 1st at 10:00 AM
Execution content:
## 📈 招聘月报 - [月份]
### 一、本月核心指标达成
| 指标 | 目标 | 实际 | 达成率 |
|------|------|------|--------|
| 招聘职位数 | X个 | X个 | XX% |
| 录用人数 | X人 | X人 | XX% |
| 平均招聘周期 | X天 | X天 | XX% |
| 平均招聘成本 | X元 | X元 | XX% |
| 新人留存率(3个月) | XX% | XX% | XX% |
### 二、招聘漏斗深度分析
#### 1. 整体漏斗
Resume screening (X) ↓ Pass rate XX% Interview invitation (X people) ↓ Acceptance rate XX% On-site interview (X people) ↓ Pass rate XX% offer issued (X people) ↓ Acceptance rate XX% Official onboarding (X people)
#### 2. 各环节分析
| 环节 | 数量 | 转化率 | 较上月 | 优化建议 |
|------|------|--------|--------|---------|
| 简历筛选 | X | - | +X/-X | [建议] |
| 面试邀约 | X | XX% | +X/-X | [建议] |
| 现场面试 | X | XX% | +X/-X | [建议] |
| offer发放 | X | XX% | +X/-X | [建议] |
| 正式入职 | X | XX% | +X/-X | [建议] |
### 三、各职位招聘详情
#### [职位1]
- **招聘状态**:[进行中/已完成/已暂停]
- **招聘周期**:[开始日期] ~ [结束日期],共X天
- **录用人数**:X人
- **招聘成本**:X元
- **数据详情**:
- 查看简历:X份
- 高匹配度:X份
- 打招呼:X人
- 面试:X人
- 录用:X人
- **经验总结**:
- 成功因素:[描述]
- 遇到问题:[描述]
- 改进建议:[描述]
### 四、渠道ROI分析
| 渠道 | 投入成本 | 录用人数 | 人均成本 | ROI评分 | 建议 |
|------|---------|---------|---------|---------|------|
| BOSS直聘 | X元 | X人 | X元 | ⭐⭐⭐⭐ | 保持投入 |
| LinkedIn | X元 | X人 | X元 | ⭐⭐⭐⭐⭐ | 增加投入 |
| 猎聘 | X元 | X人 | X元 | ⭐⭐ | 减少投入 |
| 内部推荐 | X元 | X人 | X元 | ⭐⭐⭐⭐⭐ | 加大激励 |
**下月渠道策略**:
- [策略1]
- [策略2]
### 五、人才库建设
#### 1. 人才库统计
- **总人数**:X人
- **各星级分布**:
- 5星:X人
- 4星:X人
- 3星:X人
- **本月新增**:X人
#### 2. 人才激活情况
- **本月激活**:X人
- **成功入职**:X人
- **激活转化率**:XX%
### 六、市场与竞品分析
#### 1. 薪资趋势
- **本公司**:[职位1] [薪资范围]
- **竞品A**:[职位1] [薪资范围]
- **竞品B**:[职位1] [薪资范围]
- **市场中位**:[薪资范围]
- **建议**:[建议]
#### 2. 招聘热度分析
- **热门职位1**:[职位名] - 竞争指数 ⭐⭐⭐⭐⭐
- **热门职位2**:[职位名] - 竞争指数 ⭐⭐⭐
- **热门职位3**:[职位名] - 竞争指数 ⭐⭐
### 七、问题与改进
#### 1. 本月遇到的主要问题
| 问题 | 影响范围 | 严重程度 | 已采取措施 |
|------|---------|---------|-----------|
| [问题1] | [描述] | 高/中/低 | [措施] |
| [问题2] | [描述] | 高/中/低 | [措施] |
#### 2. 下月改进计划
- [ ] 改进1:[描述] - 负责人 - 截止时间
- [ ] 改进2:[描述] - 负责人 - 截止时间
- [ ] 改进3:[描述] - 负责人 - 截止时间
### 八、下月招聘计划
#### 1. 招聘目标
| 职位 | 计划人数 | 目标完成日期 | 优先级 |
|------|---------|-------------|--------|
| [职位1] | X人 | [日期] | P0 |
| [职位2] | X人 | [日期] | P1 |
| [职位3] | X人 | [日期] | P1 |
#### 2. 关键里程碑
- [ ] 里程碑1:[描述] - [日期]
- [ ] 里程碑2:[描述] - [日期]
- [ ] 里程碑3:[描述] - [日期]
### 九、需要您审批
1. **[审批事项1]**
- 内容:[描述]
- 预算:X元
- 建议:批准
2. **[审批事项2]**
- 内容:[描述]
- 预算:X元
- 建议:批准
---
**报告生成时间**:[时间]
**上月报告**:[链接]
**下月预报**:下月1日上午10点
Usage process
1. Daily task execution
Trigger condition:Before 10:00 on each workday
Execution steps:
- Read all
jd-process/JD files and recruitment records for all positions under the directory[职位名]/*files - Read all candidate record files
- Count yesterday's data
- Generate daily recruitment progress report
- Save to
data/hiring-reports/daily-[日期].md - Send to user
2. Weekly task execution
Trigger condition:Every Monday at 10:00
Execution steps:
- Read all data for this week
- Analyze the effectiveness of each channel
- Analyze the recruitment funnel
- Generate optimization suggestions
- Generate weekly report
- Save to
data/hiring-reports/weekly-[日期].md - Send to user
3. Monthly task execution
Trigger condition:Every month on the 1st at 10:00
Execution steps:
- Read all data from last month
- In-depth analysis of the recruitment funnel
- Analyze channel ROI
- Market and competitor analysis
- Generate improvement plan
- Generate monthly report
- Save to
data/hiring-reports/monthly-[月份].md - Send to user
Data sources
Files that need to be read:
[职位名]-jd.md- JD and implicit rules for each positiondata/candidates-[日期].md- Candidate recordsdata/hiring-reports/- Historical reports
Generated reports are saved to:
data/hiring-reports/daily-[日期].mddata/hiring-reports/weekly-[日期].mddata/hiring-reports/monthly-[月份].md
Quick start
Set up scheduled tasks
Use cron or skills to set up scheduled triggers:
{
"daily": {
"task": "byted-recruitment-analytics",
"type": "daily",
"schedule": "0 10 * * 1-5"
},
"weekly": {
"task": "byted-recruitment-analytics",
"type": "weekly",
"schedule": "0 10 * * 1"
},
"monthly": {
"task": "byted-recruitment-analytics",
"type": "monthly",
"schedule": "0 10 1 * *"
}
}
Notes
- Data integrity - Ensure all candidate data has been recorded
- Timeliness - Strictly generate and send reports at the specified times
- Accuracy - Statistical data must be checked multiple times
- Confidentiality - Do not disclose sensitive information in reports
- Actionability - Optimization suggestions must be specific and executable
Remember: Data-driven decision-making, suggestions support action! 📊
This skill will continue to evolve as data accumulates. Keep analyzing and continuously optimize! 🚀