Make Highly Accurate and Well-Informed Group Decisions with the Delphi Method
Surveylet, the world's leading collaborative research software is powered by the Delphi method, a consensus-oriented group decision-making technique. The expert method allows group members to share and exchange their opinions without undue influence or social drawbacks, and shape them into a decision that is in the best interest of the whole.
Build group consensus over multiple survey rounds (Classic Delphi).
Build group consensus in real-time without using survey rounds (RTD).
Repeatable Real-Time Delphi surveys with machine learning (RTD2).
A consensus decision-making process attempts to generate as much agreement as possible.
Participants contribute to a shared proposal and shape it into a decision that meets the concerns of all group members as much as possible.
As many stakeholders as possible should be involved in the consensus decision-making process.
Participants in an effective consensus process should strive to reach the best possible decision for the group and all of its members, rather than competing for personal preferences.
The consensus process should actively solicit the input and participation of all decision-makers.
All members of a consensus decision-making body should be afforded, as much as possible, equal input into the process. All members have the opportunity to present, and amend proposals.
Collectively make the choices that shape, for good or ill, a company’s future utilizing the Real-Time Delphi technique.
Find out if everything is going well on a given project and what are the hidden issues that need to be addressed.
Combine expert opinions on likelihood and expected development time, of the particular technology, in a single indicator.
Apply the Delphi method for studies in thousands of areas varying from health care, nanotechnology, robotics to tourism.
Apply the Delphi method to public policy issues, such as economic trends, health and education.
Predict the sales of a new product during the first two years with inaccuracy of 3–4% compared with actual sales.