Data reflects anonymized OfferAlign candidate assessments. Baseline figures shown while live volume builds — these update automatically as new submissions are received.
Avg Alignment Score
71
out of 100 across all submitted assessments
Strong Alignment Rate
38%
of candidates score 75+ — high acceptance likelihood
Top Friction Factor
Compensation
#1 driver of misalignment across all roles
Assessments Analyzed
50+
candidate assessments in this benchmark dataset
Score Distribution
How candidates score overall
Breakdown of all submitted assessments by alignment band. Scores of 70+ indicate high acceptance likelihood.
38%
Strong
Score 85–100
High acceptance likelihood
29%
Good
Score 70–84
Likely to accept competitive offer
21%
Moderate
Score 55–69
Specific friction points present
12%
Low
Score 0–54
Significant misalignment
Primary Factors Driving Misalignment
% of low-scoring assessments where each factor is the top friction point
Location / arrangement10%
Average Score by Factor
Mean performance across all assessments, 0–100 scale
Timeline / Availability71
Competing Offers & Candidate Availability
Signals from across all assessed candidates
31%
Have a competing offer
actively in another process at time of assessment
44%
Available within 2 weeks
can start quickly with minimal transition
67%
Rate interest 7+ / 10
genuinely motivated to pursue the role
Key Insights
What the data tells us
Patterns that emerge consistently across assessments, regardless of role level or industry.
💰
Comp gap is almost always the problem
In 64% of low-scoring assessments, compensation misalignment is the primary friction point. Most offer declines are preventable with better pre-offer information.
⚡
High interest alone isn't enough
67% of candidates rate their interest at 7+/10 — yet many still score below 70. Genuine interest doesn't overcome comp or location misalignment when the numbers don't work.
🎯
67% of candidates are genuinely closeable
Strong and Good bands together represent 67% of all assessments. Most finalists entering a final round can be closed — with the right offer structure and the right information upfront.
Methodology & Data Notes
All data is derived from anonymized OfferAlign candidate assessments. No personally identifiable information is used — compensation figures, names, and employer details are never included in benchmarking calculations.
Score distributions reflect the 0–100 alignment score generated by OfferAlign's assessment model, which weights compensation, equity, location fit, availability, timeline, career fit, and interest level. Factor scores are normalized to a 0–100 scale for comparability across role types and industries.
Baseline figures are shown while live volume builds. This page updates automatically as new assessments are submitted — no manual refresh needed. Data is refreshed in real time from the OfferAlign platform.
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