Team Development Action Plan in Google

This presentation discusses the team development action plan in Google, including team roles suggested by Meredith Belbin and the Two-Factor Theory by Frederick Herzberg. It provides background information about Google and highlights the importance of proper training for employees in the Product Development department. The presentation also explores the evaluation of team performance using Belbin Team and addresses the factors that contribute to job satisfaction in Google. Overall, it offers insights into effective team development strategies and their impact on employee efficiency.

Team Development Action
Plan in Google
Name of the Student
Name of the University
Author Note :

Table of Content
• Background of Google
• Team development action plan
• Team roles suggested by Meredith Belbin
• Team roles suggested by Meredith Belbin in Product development department
• Team roles suggested by Meredith Belbin
• Team roles suggested by Meredith Belbin
• Two-Factor Theory by Frederick Hertzberg
• Two-Factor Theory by Frederick Hertzberg (Contd.)
• Conclusion
• References

Background of Google
• Google Inc. is a well known search
engine which was founded in the year
1998. It was founded by two people
that is Sergey Brin and Larry Page.
• In the initial stage Google began as an
online search firm that offers more than
50 internet based services.

Team development action plan
• Proper training to the employees of
Product development department of
Google.
• By the help of proper training it can bring
huge number of benefits to employees of
Google.
• To improve the working efficiency of
employees at Google.

Team roles suggested by Meredith Belbin
At present various organization around the globe
are working in team for achieving some common
practices. It is mainly done so that employees can
have joint task. Nine team roles proposed by
Belbin are
• Co-ordinators.
• Resource investigation
• Plants
• Monitor Evaluators.

Team roles suggested by Meredith Belbin
• Shapers
• Implementers
• Completer finsihers
• Team Workers
• Specialists.

Team roles suggested by Meredith Belbin in Product Development
Department
In Google the team roles can be distinguished into
• Action-Oriented Roles.
• Social Roles
• Thinking Roles.

Team roles suggested by Meredith Belbin
The evaluation of team performance is
carried out making use of team roles.
• By making use of Belbin Team an
individual can analyze a team and its
results.
• It is required for managing overall
strengths along with improving weakness.
• Use of Belbin team is required for
understanding the team.

Two-Factor Theory by Frederick Herzberg
• Two factor theory is also known as
Motivation-Hygiene Theory or even dual
factor theory.
• This particular theory states that job
satisfaction mainly depends on two factors
like satisfaction and dissatisfaction.

Two-Factor Theory by Frederick Herzberg in Google
For taking away dissatisfaction, Google needs to
address a list of points like
• Google should work on bureaucracy.
• Make sure that there is support and effective
supervision in Google.
• The fact should be taken account that all are
respected.
For creating condition of satisfaction, Google needs
to address the following points
• Building up condition for better performance
• Tailoring the work with employees.

Conclusion
• The fact can be concluded that the
presentation highlights team roles
suggested by Meredith Belbin. After
that, two factor theory for Frederick
Hertzberg has been discussed. A team
development action plan has been
provided. The background of Google
has been discussed in details.

References
• Verma, A., Pedrosa, L., Korupolu, M., Oppenheimer, D., Tune, E., & Wilkes, J. (2015,
April). Large-scale cluster management at Google with Borg. In Proceedings of the Tenth
European Conference on Computer Systems (p. 18). ACM.
• Duhigg, C. (2016). What Google learned from its quest to build the perfect team. The
New York Times Magazine, 26, 2016.
• Golovin, D., Solnik, B., Moitra, S., Kochanski, G., Karro, J., & Sculley, D. (2017,
August). Google vizier: A service for black-box optimization. In Proceedings of the 23rd
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp.
1487-1495). ACM.
• Harzing, A. W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science:
a longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787-804.