Policy and Program Learning in U.S. Cluster Initiatives Presented by: Jennifer Auer, PhD Optimal Solutions Group, LLC June 5, 2013

Agenda Scope and objective of federally-supported clusters Lessons learned snapshot –Policy –Cluster administrator –Evaluation Ongoing learning

Scope of federally-supported cluster initiatives Objective of initiatives 5 initiatives, 56 clusters –Earliest started in 2009 Technology-based industries Diverse cluster interventions

Scope of federally-supported cluster initiatives

Policy learning Intervention rationale –Small business inclusion –Disadvantaged entrepreneur inclusion –Workforce development Multi-agency funding and systems change

Cluster administration learning Demand-based intervention models Large firm fairs Network referrals

Cluster administration learning Demand-based intervention models Identifying demand Large firm fairs Small firm preparation Network referrals Integrated model

Evaluation learning Evaluation components Quantitative –Data collection from firms –Correlation with cluster activities Qualitative –Cluster approach rationale –Motivation of entrepreneurs to participate –Tech success stories

Evaluation learning Performance monitoring systems Quantitative –Business membership software, metrics definition library, stage-appropriate metrics Qualitative –Information repository for capacity building activities, successes/failures/near misses

Evaluation learning – ongoing More accessible feedback for multiple stakeholders Searchable repository –Reputation and reward systems Assessment –Advanced word cloud for discussion evolution Interactive database –Drill down in activity and outcomes

Evaluation learning - ongoing

Thank You