Time to Hire Report
Analyze how quickly you fill positions.
Goal
Find how long it takes to hire candidates. Identify slow departments and improve your hiring speed.
How to Access
Step 1: Go to Reports > Time to Hire
Step 2: Set your date range
Step 3: (Optional) Filter by departments or jobs
Step 4: Click Apply Filters
Summary Cards
Four cards show key metrics at the top.
| Card | Description |
|---|---|
| Overall Average | Average days to fill all positions |
| Fastest Hire | Shortest time to hire |
| Slowest Hire | Longest time to hire |
| Best Department | Department with fastest hiring |
Charts
Average Time to Hire by Department
Bar chart showing hiring speed per department.
| Element | Description |
|---|---|
| X-axis | Department name |
| Y-axis | Days to hire |
| Bar height | Average days |
Time to Hire Distribution
Pie chart showing how hires are distributed by speed.
| Slice | Description |
|---|---|
| Under 30 days | Fast hires |
| 30-45 days | Normal hires |
| Over 45 days | Slow hires |
Performance Indicators
Three cards show hiring performance details.
Performance Indicators Card
| Metric | Badge Color | Description |
|---|---|---|
| Hires under 30 days | Green | Percentage of fast hires |
| Hires 30-45 days | Yellow | Percentage of normal hires |
| Hires over 45 days | Red | Percentage of slow hires |
Efficiency Metrics Card
| Metric | Description |
|---|---|
| Median Time | Middle value of all hire times |
| Standard Deviation | Variation in hiring times |
| Efficiency Score | Overall score out of 100 |
Recommendations Card
System-generated tips based on your data:
| Condition | Recommendation |
|---|---|
| Overall average over 45 days | "Consider streamlining your interview process to reduce overall hiring time" |
| Standard deviation over 15 days | "High variation in hiring times suggests inconsistent processes across departments" |
| Over 30% of hires taking 60+ days | "Focus on departments with hiring times over 45 days for process improvement" |
| Departments categorized as "Needs Improvement" exist | "Consider reviewing processes in: {department names}" |
| No data for selected filters | "No hiring data available for the selected filters. Try adjusting your date range or department selection." |
| All conditions are healthy | "Your hiring process is performing well within industry standards" |
Detailed Table
Table showing metrics by department.
| Column | Description |
|---|---|
| Department | Department name |
| Average Days | Average time to hire |
| Positions | Number of positions filled |
| Median Days | Middle value for department |
| Latest Hire | Date of most recent hire |
| Performance | Excellent, Good, or Needs Improvement |
Performance Categories
| Category | Average Days | Badge Color |
|---|---|---|
| Excellent | Under 30 days | Green |
| Good | 30-45 days | Yellow |
| Needs Improvement | Over 45 days | Red |
Tips
- Engineering roles take longer than sales or support - compare similar roles
- High standard deviation? Your hiring process is inconsistent
- One department slow? Review their interview process and decision-making
- Compare quarter over quarter to track improvement
Common Questions
Q: What is a good time to hire? A: Industry average is 30-45 days. Under 30 days is excellent. Over 60 days needs attention.
Q: Why does Engineering take longer? A: Technical roles require more interviews, code tests, and specialized assessments.
Q: How is Efficiency Score calculated? A: Formula: 100 - (Overall Average / 2). Higher is better.
Q: What does high standard deviation mean? A: Your hiring times vary a lot. Some hires are fast, others very slow.
Related
- Pipeline Status - Find bottlenecks
- Source Performance - Compare channels