Situation:
Before I started studying at HULT,
I was working for a Multi National Company, which offers management consulting,
and technology service to Clients. Success rate is something our company
strived and promised to the clients. We were asked to execute projects having
different deliverables. But there were many similarities in the projects.
I realized a problem; more often in
our organization similar kind of work is being done with mixed results. Situation
was we were asked to build a website for real estate company and we took 6
months time which included requirement analysis, development and testing and were
able to execute the project with 100 % succession rate with zero defects. After
few months a similar kind of project to develop a website for the real estate
company was given to other team and they again had to start everything from the
scratch and to cover all the basis they required the same amount of time as we
did. And even after that they had some defects in the website which we
addressed during our website launch. Important things our company should have
done to avoid these are
- · If they had access to our project then they would be able to avoid the mistakes we committed.(More often than not the project related matter are highly confidential and will not be shared with other teams).
- · If the project would have been assigned to us or any other team, which has done similar project.
So my idea is to find the people
who have worked and exhibited good skills in executing the project and when a
new project starts form the core team with people who have worked in similar
project before and choose people who have little or no experience in this kind
project. This way the inexperienced people will have guidance from the experienced
ones
SNA:
- · Execution rates of individuals on different type of projects
- · Does the type of project effects his or hers execution rate
- · How complex are relationships between them
- · Identify people’s specialties or technologies they are good at
Execution Rate:
Every project has metrics, which
shows the success of the project. Execution rate takes all the metrics like deadline
maintenance, Effectiveness, Resource Maintenance, Deliverables Maintenance etc.
into account.
Data Collection:
Gathering data is not a difficult
task as every project mangers needs project metrics to report to the leadership.
Survey can gives us the data we need. Internal surveys happen in organization
and often they are mandatory. Two different surveys can be sent, one to the
project manager and other to the employee. Our questionnaire to the employee will have following questions.
- 1. What are the projects you worked on before ?(Pick from the list)
- 2. What are the success rates of each project ?
- 3. According to you who are the people in this project showed commandable expertise?
- 4. Who are the people Project Manager turn to when there is a crisis in this project ?
- 5. What is the speciality you are comfortable with?
- 6. If given a choice what kind of project you will pick?
- 7. Who in the project or outiside the project you faternize with?
Our questionnaire to the project managers will have following
questions.
- What are the projects you worked on before ?(Pick from the list)
- What are the success rates of each project ?
- According to you who are the people in this project showed commandable expertise?
- Who are the people you would turn in case of in this project ?
- Who would you not pick if you have to do the same project again and why?
- Who would you pick if you have to do the same project again and why?
- Who in the project or outiside the project you faternize with?
By using the results we will have
two different networks and different attributes and can use SNA to find the
influential people. Since we have two networks Employee and project manager. We
need to make a single combined network to work with both data so using
professor Rusty’s technique to combine both data sets.
Dichotomize both the employee and
project mangers data sets with people who have very often-highest success rate
and with help of matrix algebra and syntax acasoc create a new dataset which is
addition of academic and social data sets and this you will now know the people
who employee thinks are best and project manger thinks are best and also their
individual responses.
Now with the help of the new
combined data set we can identify the most influential people and with help of
different attributes we can identify the following
- · People who handle stress well
- · People who are most reliable
- · People who have technical expertise
- · People who have good networks
By applying centrality measures I
can find people with high degree, high out degree and in degree. So when
choosing a person I can customize my requirement. Suppose in the case of
project manager I need high degree, high out and in and high closeness as he
needs to keep the project afloat and if am choosing a tester I need one who has
high in degree than high out degree and closeness doesn’t influence him.
With the help of this data, now if
I am asked to form a new project team to build a website for technology
company. I would choose the project manager who has high successive rate in
handling the project, before making the decision I would also check if he has
better relations with other people who might be potential team members and also
see what kind of skill set he will offer for the new joiners. And I can do the
same for the rest of employees. By this I feel organizations can cut of their
project lead time to at least ¾ of the actual time as people will be well aware
what is expected of them and also can generate considerable amount of profits.
1 comment:
Very nice. Well-conceived, and very good interpretation of how SNA measures could be used. This is the kind of project that HR departments are using worldwide.
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