In recruitment, not every decision can be summed up to 1s and 0s. Employers need to weigh in several factors when deciding which candidates should be prioritized to deliver objective and high-quality hiring results. Talkpush has developed a Lead Scoring Feature, which automates the scoring and ranking of incoming applications and thus decides the next step in the recruitment process.
How it works
The Lead Scoring System works at the Talkpush Campaign Level, where you can pick relevant Candidate Attributes and assign a weight to each one according to their importance on a scale of 1-100%. After candidates complete their prescreening, a weighted score will be generated on the Candidate Profile. The score can then be used to trigger an Autoflow sequence and move candidates to different Campaigns or Folders.
Configuring the Lead Scoring Feature in 3 Steps
To configure the Lead Scoring Feature, follow these steps:
Pick the parameters: Select which parameters will be considered for the score from multiple choice questions (linked to a Candidate Attribute), Geolocation, and TalkScore, and assign a weight percentage to each.
Weighing each item: Customize the answer's value as a percentage of 1 to 100%.
Activate via Autoflow: Configure an Autoflow sequence to trigger the score creation.
Step 1: ⚙️ Pick the parameters
The first step involves selecting the parameters you'll consider for the final applicant score. You will see all your available options in the drop-down menu, with its corresponding weight next to it. You can move the percentage slider to adjust the values or manually input each percentage.
Permitted parameters are Geolocation, TalkScore, and any Candidate Attribute connected to a Multiple Choice question.
As a precondition, the questions you've selected must be associated with a Candidate Attribute.
The Lead Scoring Feature is compatible with various question types: Multiple-Choice Questions, Geolocation, or TalkScore (which can be generated from both audio or video questions)
To 'Save' your configurations, the Cumulative Weight of each Candidate Attribute must be 100%.
Step 2 ⚙️ Weighing Items
The second step is to add a % weight to each Attribute. The way the Scoring works will vary according to the compatible Question Types:
Multiple Choice Question: Assign a % value to each value on a scale of 1-100%.
Geolocation: The Geolocation Question Type comes with a fixed set of options (Within 2, 5, 10, and 20 km); you can assign a percentage value to each distance range.
TalkScore: The values are pre-fixed as this allows an optimal weight distribution that is standardized and fits with the CEFR framework (Common European Framework of Reference).
In special cases, you can contact your Account Manager to enable this option.
Step 3 ⚙️ Generate the score via Autoflow
Before a score is generated, you need to trigger it via Autoflow. This allows you to ensure the score is only generated once all the critical data you wanted to collect is there and to ensure consistency in the scoring between applications, as well as allows you to score your candidates at the point of the recruitment process that works best for you.
To generate the score, please set up an Autoflow as follows:
Select a trigger and include the Candidate Attributes that you want to score and were configured previously in the Applicant Scoring settings. For example, Admired Brands (the Candidate Attribute) is present (the Autoflow operator).
💡 Tip: If all the attributes are populated during the prescreening, you do not need to add every single attribute to this trigger, you can add the Last Candidate Attribute displayed in the Lead Scoring configuration.
Note: If you're using TalkScore, always include it as a Candidate Attribute in the Autoflow Setup.
Add action > "Score Application"
Save & done! The scores can now be generated.
Now that the score is generated, what can you do with it?
See it in the Candidate Profile
Once the Score has been assigned to a candidate, it will be displayed in their candidate profile as a Score Tag.
Search candidates based on their scores
With the Candidate Attribute: Applicant Score, you can filter candidate results based on their score.
Decide the next step in the candidate journey
You can use Autoflow and the generated score to decide what will happen next in the candidate's journey. You can configure who will get rejected or shortlisted based on the score (remember to track the reasons why for reporting purposes).
Does this work at the Application Level or Candidate Level?
The feature works on the Application Level; if a candidate has multiple applications, the score will only reflect in the application wherein the answers were scored.
🤔 Do you have any questions? We want to help! 💚
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