Impact Scoring Engine: Measure Real Candidate Impact
CurriculoATS evaluates candidates on measurable outcomes — revenue generated, teams scaled, systems built — not keyword frequency. Every candidate gets a composite score from 0 to 100.
Why Keyword Matching Fails
Traditional ATS (Keyword Matching)
Counts how many times “project management” or “Python” appears on a resume. Result: candidates who keyword-stuff rank higher. Candidates who use different terminology for the same skills get filtered out. 75% of qualified resumes are rejected this way.
CurriculoATS (Signal-Based Scoring)
Evaluates what candidates actually accomplished. Did they grow revenue? Scale a team? Ship a product on time? Candidates are scored on measurable impact, not vocabulary choices.
How Impact Scoring Works
Resume Parsing
AI extracts structured data from any resume format — PDF, DOCX, or plain text. No special formatting required from candidates. The parser identifies achievements, skills, experience timelines, and quantified results.
Multi-Signal Analysis
Each candidate is evaluated across three dimensions:
- Role Fit (40%) — Skills match, experience level, relevant industry background
- Measurable Outcomes (35%) — Quantified achievements: revenue generated, users acquired, costs reduced, teams scaled, projects shipped
- Contextual Relevance (25%) — Industry alignment, company stage match (startup vs enterprise experience), career trajectory direction
Score & Rank
A composite Impact Score (0–100) is generated for every candidate. Scores are normalized across the candidate pool so you can compare applicants fairly regardless of resume length or format. The highest-signal candidates rise to the top.
See the Difference: Keyword vs Signal
Candidate A
Resume mentions “project management” 12 times, “agile” 8 times, “leadership” 6 times. Traditional ATS keyword score: 92/100.
Candidate B
Resume mentions “project management” 3 times. But includes: “Led 8-person engineering team, shipped product 2 weeks ahead of schedule, grew feature adoption from 12% to 47% in 6 months.”
Keyword ATS picks Candidate A. CurriculoATS Impact Score picks Candidate B (Score: 87 vs 54).
Why? Candidate B has measurable outcomes. Candidate A has keywords.
The Three Dimensions of Impact Scoring
Role Fit
Does the candidate’s experience match what the role requires? We evaluate skills alignment, years of relevant experience, industry overlap, and seniority match. A senior backend engineer applying for a senior backend role scores higher than a junior frontend developer, even if both have “engineering” on their resume.
Measurable Outcomes
Has the candidate driven real, quantifiable results? We look for revenue impact (“grew ARR from $2M to $8M”), scale metrics (“managed team from 3 to 25”), delivery evidence (“shipped 3 products in 18 months”), and efficiency gains (“reduced deployment time by 60%”). Candidates who list responsibilities without outcomes score lower.
Contextual Relevance
Does the candidate’s background align with your company’s stage and industry? A candidate with Series A startup experience is more contextually relevant for your Series B startup than someone from a 50,000-person enterprise. Career trajectory matters too — is the candidate trending upward or plateauing?
Why Teams Choose Impact Scoring
Is Impact Scoring available on the free plan?
Yes. Every plan includes AI resume screening with Impact Scoring. The free Starter plan supports up to 3 active jobs with full scoring.
How is the Impact Score calculated?
Each candidate is scored across three dimensions: Role Fit (40%), Measurable Outcomes (35%), and Contextual Relevance (25%). The composite score (0–100) is normalized across your candidate pool for fair comparison.
Can I see why a candidate received their score?
Yes. Each candidate’s score breakdown is visible in your dashboard, showing individual dimension scores and the key signals that contributed to their overall ranking.
Does Impact Scoring work for non-technical roles?
Yes. The scoring system evaluates measurable outcomes across any role type — sales (revenue, quota attainment), marketing (growth metrics, campaign ROI), operations (efficiency gains, cost reduction), and more.
How does Impact Scoring reduce hiring bias?
By evaluating measurable outcomes rather than subjective signals (school name, employer brand, writing style), Impact Scoring reduces unconscious bias. The system does not factor in name, gender, age, or demographic information.