Cutter Consortium ensures the integrity and the quality of its research with a multi-pronged approach. The key element is authors themselves: they are expert practitioners, seasoned consultants, and highly-credentials academics — not desk-bound analysts. Their research is hands-on and their conclusions are based on direct experience with what is working best in leading companies worldwide. These best-in-class contributors have done, and are currently doing, the groundbreaking work in their respective fields. They offer the first-hand experience that can come only from working to assist Fortune 1000 enterprises, governments and NGOs around the world.
- No Ties to Vendors
Cutter is the only research firm that has no ties to vendors. Its focus has always been on the user community and in this way it ensures total independence and unbiased, objective reporting.
- Expert Content Providers
Cutter's reliance on its exclusive network of over 150 internationally recognized experts who have collectively published hundreds of books (many the definitive works in their field) ensures quality much as the stellar credentials of the faculties of the leading universities guarantee the excellence of those institutions.
- Peer Review
Cutter also relies on open debate as a means of ensuring it is providing readers with the best advice and guidance available. Cutter's experts need to be able to defend their analyses and conclusions in give-and-take discussions with their peers. The end result is improved quality.
- Survey Methodology
Cutter conducts periodic formal and informal surveys. Surveys include participants from companies worldwide to gauge company activity/choices/strategies by industry, company size, and geographic region. Cutter makes the extra effort to ensure that its survey results reflect reality. We throw out outlying responses, correct for the overrepresentation of any one group, and eliminate responses from vendors when those responses skew the reality that businesses experience, and we report the number of respondents when we publish statistical analyses.