DMAIC SIX SIGMA SEARCH PROCESS
DMAIC is a proven approach for eliminating defects and improving quality-related business metrics. DMAIC and Lean (the combined methodologies are known as Lean Six Sigma) complement each other and are the foundation for continuous improvement in most companies.
The DMAIC approach is really very simple and practical: DEFINE your problem, MEASURE where you are and where you want to go, ANALYZE data to understand the problem, IMPROVE or eliminate the underlying causes, and CONTROL the process for the long run.
Our proven search process consistently yields the top 20% talent and provides the best recruiting coverage in the search industry, supported by written documentation.
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Position history & client culture
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Required & preferred candidate expectations
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Candidate compensation package
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Candidate generation & attraction strategy
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Interview process & client key stakeholders
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Search cost savings strategy
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Candidate timing & client search progress updates
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Create position description & client highlights
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Create candidate & client culture mapping
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Create candidate competency & performance evaluation process
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Create candidate attraction process
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Create client industry specific search strategy
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Create search performance & cost savings KPI’s
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Search strategy execution & preliminary results
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Candidate generation & attraction process results
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Candidate competencies, performance, motivations & expectations
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Overall search performance & cost savings KPI’s
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Implement search process improvements
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Implement cost saving improvements
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Execute candidate assessment and culture mapping process
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Recommend candidates and initiate client interview process
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Execute client & candidate interview debrief process
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Execute client offer & candidate reference process
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Execute client & candidate closing process
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Complete candidate recommended development assessment
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Execute candidate transition consulting & onboarding
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Ensure 100% client satisfaction & discuss TNG & client recommendations
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Post 12 months qualify client & candidate satisfaction & recommendations
