PreScript: I hate
using unnecessary jargons and management terms to make stuff sound
sophisticated and credit-worthy. In fact, whenever I read the words like ‘strategy,
restructuring, paradigm shift, holistic, empowerment’, I feel like puking. So, don’t
mind below text being simplistic and to the point. Visit HBR & McKinsey for
puke-worthy articles. Enjoy.
In teams, there are always some who are overburdened and
some who are relatively not. And then there are some who are mostly found in
breakout areas and smoking zones. Irrespective of the workload, it’s an important
task of a TL/Manager to frequently keep shifting the load within team members
so that no one burns out. It might be a better and effective way of controlling
attrition than many others, like promising promotions and on-site. A monthly
check of the work load on various resources can be a small but big way to
improve both employee productivity and project deliverables.
However, knowing the current load on a person is not as
objective a task as it seems, especially in bigger teams. One of the simplest
ways to find this is by using email usage density of employees. In IT/ITES and
allied industries, email continues to be the primary mode of communication. Tasks
are assigned by emails, delivered by emails. It might not be absolute,
considering there are modern social-media-like platforms where the team can
collaborate, but their use is not that widespread, especially in Indian
industry. Also, coding is done outside the email zone. But invoking the
infamous ‘bell curve’,
we can assume 80% of the industry use emails.
What we can do is very simple. At the end of the month, ask
each employee to prepare a table/chart with names of all/major team members and
number of emails received & sent to each. I have attached
a sample sheet for demonstration. This data extraction can be manual from
outlook (may take about 10 mins) or there may be some automation technique out
there which I am unaware of. But 10 mins a month should not be a big deal.
The TL/Manager will get the data for all/major employees and
will plot a very simple bar-graph in excel (or pivot) to get a quick view of
who all are being chased the most and by whom. A sample
demo available in the sheet. Uses can be many, if properly applied. There
will be some roles which are PMO/coordinator, so they will be sending high
numbers of emails. Project Managers will have a high spike in graph considering
they are in CC in many emails. But a TL/Manager can quickly identify the
standing of his/her team and dig deep to take proactive actions. A quick Pareto can be applied
to check the top 20-30% of outliers in the graph and a chat with them can help
diagnose and improve the situation. This analysis can also be coupled with the
modern but unproven ‘continuous-feedback’ performance management systems,
adding more weight to it.
This is cheap (virtually zero cost), effective and
result-oriented analytics.
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