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Configuring Interview Feedback Forms
Configuring Interview Feedback Forms

This guide will help you understand how to configure interview feedback forms and filter candidates based on scores.

Updated over 2 weeks ago

Overview

Configure a feedback form at the job pipeline level to standardise evaluations and make hiring decisions based on measurable data.

How It Works

Configuring Feedback Forms

Users can configure a feedback form for a specific job pipeline to standardise evaluations. To configure, go to the job pipeline page and select the pipeline that you want to configure the feedback form for and click on configure feedback as shown below.

On the configuration screen, type in all the skills and attributes and give weight to each. You can choose to give equal weights to all the skills and attributes or give individual weights to each skill/attribute. You can give weightage on a scale of 1 to 5 to each skill, with 5 being the highest and 1 being the lowest

Once you configure, click on submit to save your settings

💡 Tip: If you want the interviewers to have the flexibility to rate the candidates on more attributes or skills than the ones that are mentioned, you can use the checkbox "Let interviewers add skills while submitting feedback" at the bottom of the configuration screen. These skills will be excluded while calculating the feedback score.

You can also configure the feedback form while creating or edit the job from the job pipeline setup page as show below.

Reviewing feedbacks

Configured feedback will be shown to the interviewers when they are submitting their interview feedback, if requested. All the submitted feedback is shown on the job candidate profile under the feedback section.

Feedback scores are generated based on the weights assigned to each attribute while configuring the feedback form. The total score is calculated by taking the average of all individual scores.

Formula:

  • Attribute Score: s = r × w

  • Round Score: R = (s1 + s2 + s3...)

  • Max Round Score: Rmax = r-max × (w1 + w2 + w3...)

  • Round Percentage: R% = (R / Rmax) × 100

  • Total Feedback Score: S% = [(R1 + R2 + R3...)/(Rmax1 + Rmax2 + Rmax...)] × 100

Example:

Candidate receives ratings of 4 for Python, Java, and React, with weightages 1, 2, and 3:

  • Final Score = ((4×1 + 4×2 + 4×3) / (1+2+3×5)) × 100 = 80%

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