How It Works & Using It in Automations

1. Fit Filters (What They Mean & Why They Matter)

At the top of the Recent Applicants page, Boostie displays Fit filters or signals with counts for each. These represent the AI-driven assessment of how well an applicant aligns with the job they applied to.

Fit Filters Defined

  • Very Strong

    A top-tier match. The applicant’s experience, skills, and signals show extremely high alignment with job requirements.

  • Strong

    A solid match who meets most key expectations. Only light recruiter review needed.

  • Potential

    Partial alignment. Shows promise but requires vetting to confirm fit.

  • Weak

    Limited alignment. Often indicates skill or experience gaps.

  • Very Weak

    Minimal alignment and unlikely to meet core qualifications.

  • Unknown Fit

    The applicant did not complete enough fields (or abandoned the apply flow) for Boostie to calculate a Fit Signal.

These signals let teams instantly prioritize outreach and avoid spending time reviewing low-fit applicants.

2. How Fit Signal Is Calculated

Boostie’s Fit Signal evaluates how well an applicant aligns to a job using a blend of resume intelligence, job-specific responses, and real-time behavioral signals. While the proprietary scoring model isn’t exposed, here’s what customers can understand and confidently share:

What Fit Signal Considers

Boostie AI analyzes multiple inputs, including:

  • Resume relevance

    Skills, keywords, responsibilities, tenure, industry alignment, and seniority extracted from the resume.

  • Job category & specialty alignment

    How closely the applicant’s background matches the configured job family.

    Answers to job-specific questions

    Including any required or optional fields that provide deeper context into experience or qualifications.

    Knock-Out Question responses

    If a company chooses to use Knock-Out Questions inside Apply, these become a meaningful signal.

    • Passing knockout criteria strengthens alignment.
    • Failing knockout criteria signals low alignment and may lower the Fit category.
    • Boostie never automatically rejects applicants, but it gives recruiters clarity instantly.

  • Application behavior

    Indicators such as completeness, drop-off points, and consistency in provided information.

  • Historical performance patterns (if ATS connected)

    Titles or backgrounds that have historically led to hires within your org.

What Fit Signal Does Not Consider

  • Personal or demographic information
  • Age, gender, ethnicity, or any protected attributes
  • Non-professional details
  • Bias-prone assumptions
  • Guesswork based on name, location, or photo (Boostie ignores these entirely)

The Purpose of Fit Signal

Fit Signal exists to give recruiters a smarter starting point, not a final hiring decision.

It helps teams:

  • Prioritize high-fit applicants instantly
  • Reduce time spent reviewing mismatched candidates
  • Improve responsiveness to top talent
  • Move faster and more confidently

Boostie AI lifts the noise so staffing teams can focus on the candidates who matter most.

Using Fit Signal in Automations

Fit Signal doesn’t just help recruiters prioritize candidates - it can also power downstream automations across your recruiting stack.

Because Fit Signal is structured data, it can be used as a trigger or condition inside automation tools such as:

  • Bullhorn Amplify
  • Bullhorn Automation
  • Other ATS automation platforms that support workflow triggers

This allows staffing teams to automatically take action based on applicant quality.

Example automation use cases:

Fast-track strong candidates

  • If Fit Signal = Very Strong or Strong
  • Automatically send a recruiter scheduling link via email or SMS
  • Invite the candidate to book an interview or intake call

Nurture potential candidates

  • If Fit Signal = Potential
  • Add the candidate to a recruiter review queue
  • Trigger a follow-up email requesting additional information

Filter low-fit applicants

  • If Fit Signal = Weak or Very Weak
  • Update a submission field such as Disposition: Disqualified
  • Move the candidate into a nurture or talent community campaign

Segment candidate pipelines

  • Route applicants into different ATS workflows depending on their Fit category
  • Prioritize recruiter attention on high-fit applicants

The result is a faster, smarter hiring workflow where:

  • top candidates move forward immediately
  • recruiters spend less time screening
  • automation handles the repetitive steps

Fit Signal becomes the bridge between candidate experience, recruiter productivity, and intelligent automation.

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