Appraisal Process Automation - A Case Study

2 minute read

Business Context

A leading Pharma Company needed to automate the manual process of employee appraisal to reduce the massive time taken on this piece of work.

Challenges with Manual Appraisal Process

Our client, known for its high efficiency in the pharma space, faced challenges with a few HR functions that were carried out in a manual process. All these were extremely time-consuming. The client felt the need for automating one of the few processes – Performance Appraisal with Payroll Generation, as this was extremely time-consuming and, at times, leading to inappropriate analytics.

Our Solution

We built a robust and seamless solution designed to automate the Appraisal and Payroll Generation Process. The process involved:

Step 1: Master level easily definable parameters and monitoring slabs for each division.
Step 2: Integration with 3rd party systems to pick sales team’s SFE effort data.
Step 3: Employee level self-assessment on qualitative data for defined intervals.
Step 4: Line managers' assessment for their reportees, on qualitative data for the same interval.
Step 5: Appraisal grade and rating generation based on quantitative and qualitative parameter assessment.
Step 6: HR personnel provision to adjust the rating on a case-by-case basis.
Step 7: System-generated new payroll based on the recent appraisal ratings (variable and fixed components are both considered in payroll generation).
Step 8: A well-defined analytics to get structured analytics on appraisal.

Benefits from Our Solution

Use of the KEA-Appraisal Module model leads to quick generation of Appraisal and Payroll:

  • -Reduced the timeline for Automated Vs Manual method.
  • -Commendable reduction in waiting time for other stakeholders.
  • -Reduced manual errors.
  • -Prevented loss of documents.
  • -Ensured compliance.
  • -Improved the participant’s experience.
  • -Analytics specific to Appraisal and Payroll, just at your fingertips.
  • -Generation of alerts or enforcement rules to prevent delays and incomplete data.
  • -Environment-friendly – reduced paperwork and being time and cost-effective.