Mission Alignment Index: Methodology & Validation
A detailed look at how our Mission-Match algorithm measures alignment between talent values and company missions, with validation data.
Abstract
We present the methodology behind the Work For Future Mission Alignment Index (MAI), a multi-dimensional scoring system that quantifies the fit between a candidate's stated values and a company's demonstrated impact. This paper details the algorithm's design, training data, and validation against real-world hiring outcomes.
Key Findings
- The MAI predicts 6-month retention with 78% accuracy, compared to 52% for skills-only matching.
- Values-based signals contribute 40% of the overall match score, with demonstrated impact at 35% and skills at 25%.
- Companies that hire from the top MAI quartile report 2.3x higher employee engagement scores.
- Cross-validation across 1,200 completed matches shows minimal demographic bias in scoring.
Traditional job matching focuses almost exclusively on skills and experience. While these remain important, our research demonstrates that mission alignment is the single strongest predictor of long-term employment satisfaction and retention in the impact sector.
The Mission Alignment Index combines three signal categories: stated values (derived from profile questionnaires and free-text analysis), demonstrated impact (inferred from work history, volunteering, and community participation), and technical skills match.
We trained the model on 8,000+ historical matches with known 6-month outcomes, using a gradient-boosted ensemble with fairness constraints to prevent demographic bias. The resulting model achieves 78% accuracy on retention prediction, a significant improvement over the 52% baseline of skills-only matching.
Ongoing validation uses A/B testing where a random subset of recommendations are scored by the legacy skills-only model. Retention, satisfaction surveys, and employer NPS consistently favour the MAI-scored cohort.
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