Master’s student to analyze significance of teamwork data hos Copenhagen School of Entrepreneurship

Competitiveness and innovation depends largely on teams[1] and their ability to perform. Companies agree that the complexity of problems confronting them make teams essential to providing solutions[2]. However most teams experience serious challenges and continue to underperform[3]. This includes startup teams[4]. The value of startup success to economic growth highlights the relevance of aligning a team’s ability to interact, work together and deliver.

Since 2018, startup teams participating in the Go Grow accelerator program at Copenhagen School of Entrepreneurship, Copenhagen Business School have used a team analytics solution developed by Teamstowork. The analytics tool applies new mathematical principles, Synergy arithmetic[5]. The principles are based on the idea that the whole is beyond the sum of its parts, that a team as a group or collective unit is more than its individual team members put together. That if we want to understand team dynamics and performance better, we need to investigate the team level and we need better tools to do so. This breaks with a longstanding tradition of examining teams as the sum of its individual parts.

This project provides an exciting opportunity to understand and contribute to issues of team performance, particularly in early stage growth companies and to understand the role a team analytical tool can play[6]. The student(s) will gain access to the Teamstowork database and the results generated so far. As of February 2020, 67 startup teams (approx. 200 observations) have completed the team analytics tool (a self-report questionnaire). The tool measures three fundamental aspects of teamwork and human synergy/interactions : 1) Ability to create momentum in working on tasks 2) Exhibit a specific set of teamwork-related behaviors, 3) Manage conflicts.

The data set offers several perspectives for examining teamwork and team performance with the opportunity to apply quantitative techniques with the additional possibility of mixed methods with the possibility of combining with qualitative approaches such as interviews.

The specific thesis problem formulation, research question and research design is up to the student(s) to scope with their supervisor.

Suggested relevant topics could be:

  • Team assessment and team development interventions
  • Selection and composition of team members
  • Leadership issues

We invite highly motivated master thesis students to apply. The student(s) should be data savvy (not afraid of “crunching numbers”), self-driven and interested in team dynamics. Copenhagen School of Entrepreneurship’s Go Grow accelerator program staff and Teamstowork™ can be consulted for data access and input, not for research guidance which is the role of the supervisor. Student(s) will need to find their own supervisor and are expected to communicate ongoing progress and present their findings to Go Grow and Teamstowork.

For more information on the accelerator setting and the team analytics tool:


Contact person:

Cristina Meléndez Sancho ( and Teamstowork™ (Peter Neville,

[1] Cambridge Handbook on Expertise & Expert Performance, 2009, American Psychological Association, 2018

[2] EY, 2013

[3] McKinsey & Co, University of Phoenix, 2013, Lancaster University, 2017, Blanchard, 2015

[4] CB Insights 2019, Permin & Hulgaard, Danish Technical University, pres. 2017

[5] 1+1=3, Burgin, Mark & Meissner, Gunter Gunter, UCLA Department of Mathematics, Marina Del Rey, USA and University of Hawaii, Honolulu (2017), Is the Whole Greater Than the Sum of Its Parts? Liangyue Li (et all), Arizona State University, USA (2017)

[6] MBTI/JTI, OPQ, Disc (to name but a few)

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