Why Benchmarks Improve Assessment Accuracy
Candidate assessment is inherently comparative. A candidate who has built a $50M ARR sales function is either exceptional or unremarkable — depending on the resources, team, and market conditions they had. Without reference points for what exceptional looks like in comparable contexts, assessment relies on absolute impressions rather than calibrated comparisons. The Leadership Benchmark Library provides the calibration.
What the Library Contains
The Majhi Group Leadership Benchmark Library contains reference benchmarks across seven executive functions — Sales, Marketing, Engineering, Product, Finance, People, and Operations — and across four company stages — early-stage, growth-stage, scale-up, and enterprise. Each benchmark specifies the indicators of exceptional, good, and adequate performance for a leader in that function at that stage — calibrated against Majhi Group's history of search engagements and placement outcomes.
Applying Benchmarks in Candidate Assessment
In a Majhi Group retained search, candidate assessments are benchmarked against the relevant function and stage reference points — enabling the client to understand not just whether a candidate is qualified, but where they sit relative to the genuine performance distribution for the role. This produces more accurate shortlists and more informed final decisions.
Benchmarks and Compensation Calibration
The Leadership Benchmark Library is integrated with Majhi Group's compensation intelligence data — enabling the relationship between performance benchmarks and market compensation to be understood clearly. Companies that understand this relationship make better offers: competitive for exceptional candidates, without overpaying for adequate ones.