Stakeholder management is a major aspect of project
management. The Project Management
Institute identifies it as one of the ten major knowledge areas of project
management and has numerous tools and best practices for managing
stakeholders. But let’s face it. You don’t manage the stakeholders. In fact, it is much more likely that they are
managing you. So what you manage are
your interactions with the stakeholders.
Now “interactions” implies that there are at least two individuals
involved, you and the stakeholder. In
this series, I want to address the best practices for interacting with
stakeholders based upon how they normally interact. This is based upon what they consider to be
compelling issues and their primary area of concern. I have identified five personas that
represent the types of stakeholders I have encountered over the years. These are the action-oriented stakeholder,
the expert-oriented stakeholder, the process-oriented stakeholder, the data-oriented
stakeholder and finally the uninterested stakeholder. In this post I will talk about interacting
with the data-oriented stakeholder.
The Stakeholder
The data-oriented stakeholder trusts the data. They don’t care who collected it or what
procedure they used, provided the approach was valid. They just want to know the facts. Give them test results, survey results, or
the output from your model, and they are ready to make a decision. Give them your opinion, or even the opinion
of several subject matter experts, and they will still want to go run a test or
do a study to confirm it with facts.
They believe that mistakes are made when we make decisions based upon
assumptions and opinions - facts are needed to reduce the risk. They may ask where or how you got the facts,
but that is just to be certain that you are not making them up or using
inappropriate data. And you can count on
them to check the math on your presentation slides to be sure everything is
adding up. If there is a mistake, they
will catch it, and at that point you will have lost credibility.
Interaction Style
The key to interaction with this stakeholder will be to
communicate through data. You can
summarize the data, but always be ready to provide the details behind your
summary and conclusions. These
individuals will often appreciate a statistical analysis of the data – and they
will understand the statistics so be sure you do your calculations correctly. If there are holes in the data, know why you
do not have that data and be ready to explain either why it does not matter or
what you are doing to collect that data.
The types of questions they will be asking are:
“What tests or analysis did you do and what was the result?”
“How many tests have you run? How big was your sample in the study?”
“Is this consistent with other data we have seen? If not,
why not?”
They would appreciate getting the full data set from your
test or study. You don’t need to provide
that in a presentation, but you should have a handout ready to give to them
that includes that data.
If the data is clear, they will make a quick decision. If the data is inconclusive or incomplete,
they will ask for more studies, tests, and analysis until the data gives a
clear picture. They do not want to be
rushed or pressured into making a decision.
Key Messages
When discussing your project, have the actual data – cost,
schedule, or performance data – associated with the issue being discussed. Be ready to explain the thresholds for what
is considered to be good or acceptable levels and what is a problem. You can then defend your position or ask for
your change based upon what the data says.
The discussions should focus on the validity and completeness of the
data followed by the implication for your project or organization. If you don’t have data, don’t ask for a
decision. Instead discuss the approach you will be using to collect data.
Good News and Bad News
For these individuals, bad news is missing, suspect or
incomplete data and good news is clear valid data that tells an unequivocal
story. Even if something catastrophic
happened on the project, if the data clearly indicates the cause and you are
able to correct or avoid that cause in the future, this will be considered good
news. However, if something either good
or bad happens and you don’t know why, that is bad news to this
stakeholder. It is an indication of an
out of control situation. If you find
yourself in that position, be ready with a plan for investigation that will
lead to facts and data to explain what happened.