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How to fill out the Hr Analytics At Scaleneworks Behavioral Modeling To Predict Renege online
This guide provides a clear and supportive overview of how to fill out the Hr Analytics At Scaleneworks Behavioral Modeling To Predict Renege form. Follow the steps below to ensure the accurate completion of each section and field required in the online format.
Follow the steps to complete the form effectively
- Click the ‘Get Form’ button to access the document and open it in your online editor.
- Begin by filling in the candidate reference number, which uniquely identifies the applicant in the system.
- Indicate whether the candidate has requested a date of joining extension by selecting Yes or No for the 'DOJ extended' field.
- Enter the duration it took the candidate to accept the job offer in the designated field.
- Fill in the notice period that the candidate must serve with their current employer before they can join your organization.
- Select the offered band based on the candidate's experience and performance in the interview rounds (C0 to C6).
- Provide the expected percentage hike from the candidate, as well as the percentage hike that the company is willing to offer.
- If applicable, indicate if a joining bonus will be offered, by selecting Yes or No.
- Mention the gender of the candidate as either Male or Female, in accordance with the recruitment needs.
- Specify the source from which the candidate's resume was obtained, using the options provided (e.g., Employee referral, Agency, Direct).
- Fill in the relevant years of experience that the candidate possesses for the offered position.
- Select the line of business for which the offer is made.
- Once all fields are filled accurately, review the information, save your changes, and choose to download, print, or share the form as needed.
Complete your Hr Analytics At Scaleneworks Behavioral Modeling To Predict Renege document online today!
Related links form
The three types of HR analytics are descriptive, predictive, and prescriptive. Each provides a different perspective on your company's data. Each has its pros and cons but builds upon each other.
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