Pipeline Analytics in Kula offers a comprehensive view of your recruitment pipeline, helping you monitor and optimize candidate progression through various stages. By understanding key metrics, utilizing advanced filters, and customizing timeframes, you can make data-driven decisions to enhance your hiring outcomes.
Key Metrics Overview
- Applied: Total number of candidates who applied, providing an initial view of your talent pool.
- Interviewed: Number of candidates who moved to the interview stage, showing the effectiveness of your screening process.
- Received a Job Offer: Candidates who reached the offer stage, indicating the success of your selection process.
- Hired: Number of candidates who accepted offers and joined, measuring recruitment success.
Funnel View
A funnel visualization shows the flow of candidates through each stage, making it easy to spot where candidates drop off and where pipeline improvements are needed.
Basic Analysis With Filters
Customize your reports using filters such as:
- Job Name: Focus on specific roles.
- Job Type: Analyze performance across full-time or contract roles.
- Job Status, Department, Recruiter, Hiring Manager: Drill down on pipeline details based on team, job status, or management.
- Source, Location, Pipeline Stage: Understand the impact of application sources, candidate locations, and pipeline stages.
Advanced Data Analysis
Using the "Group By" and "Breakdown By" filters, you can segment and refine your pipeline data for deeper insights:
- Group By: Organize data by job name, recruiter, department, application source, etc.
- Breakdown By: Add another layer of segmentation to focus on rejection reasons, job name, or recruiter performance.
Data Formats
View your results using key metrics like:
- Passthrough Rate: Percentage of candidates moving from one stage to the next.
- Time In Stage: Average time spent in each stage.
- Time To Reach Stage: Time taken for candidates to progress to specific stages.
Timeframe Customizations
Analyze your recruitment pipeline over different periods:
- Yesterday, 7 Days, 30 Days, 3 Months, 12 Months: Track short-term and long-term trends.
- Custom: Define specific date ranges for tailored reporting.
Exporting & Scheduling
- Download as PDF: Share your reports with stakeholders in a polished format.
- Schedule Email: Automate report delivery at regular intervals to keep teams updated.
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