The Mentor Capital Network team has been conducting ongoing research through our program, based on data from more than 8,000 review forms and hundreds of mentor-entrepreneur engagements.

The questions we are addressing are:

  1. Do MCN Reviewers show a preference for companies led by people with shared attributes?
  2. What aspects of a business plan show the most positive correlation with a company’s eventual success?
  3. Are MCN Reviewers getting better at predicting the success or failure of the companies they review over time, either as a group, or as individuals who review over multiple years?
  4. What attributes are in held in common by people who are more optimistic about companies that go on to do well, or more pessimistic about companies that do not do well?
  5. What are the steps to curate the most effective team to support a particular set of entrepreneurs?

The answers to each of these questions is informed by what we learn from answering the previous question. We are working with ten years of data. As the analysis becomes available, we will post it here.

Update – June 23rd, 2020

We reviewed Reviewer/Mentor to Entrepreneur interactions based on variances in race, USA/not USA, gender, education, age, and self-reported shared values, skills, and mission. We compared these to the scores assigned to the companies by the reviewers, as well as multiple forms of reviewer / mentor engagement. Most areas showed no significant variance or correlation. For those that did, we are further clarifying at other influences and will report when that stage is completed.

One data point of interest is that companies with mixed gender leadership teams received higher scores, time spent reviewing the plan, and offers of mentor engagement than all-male teams or all-female teams.