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.
Position history & client culture
Required & preferred candidate expectations
Candidate compensation package
Candidate generation & attraction strategy
Interview process & client key stakeholders
Search cost savings strategy
Candidate timing & client search progress updates
Create position description & client highlights
Create candidate & client culture mapping
Create candidate competency & performance evaluation process
Create candidate attraction process
Create client industry specific search strategy
Create search performance & cost savings KPI’s
Search strategy execution & preliminary results
Candidate generation & attraction process results
Candidate competencies, performance, motivations & expectations
Overall search performance & cost savings KPI’s
Implement search process improvements
Implement cost saving improvements
Execute candidate assessment and culture mapping process
Recommend candidates and initiate client interview process
Execute client & candidate interview debrief process
Execute client offer & candidate reference process
Execute client & candidate closing process
Complete candidate recommended development assessment
Execute candidate transition consulting & onboarding
Ensure 100% client satisfaction & discuss TNG & client recommendations
Post 12 months qualify client & candidate satisfaction & recommendations
