Tag Archives: decision making

Four Power Questions Before the Interview

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It’s all about the work. Most managers make hiring mistakes because they didn’t know what they were looking for in the first place.

  • How to know what you are looking for?
  • How to transform that vague picture into specific deliverables?
  • How to communicate that picture and deliverables to the hiring team, to make sure you are right?

I will know it when I see it, sets up the hiring manager for failure. Success is based on luck.

Work is a funny notion. Many managers focus on getting in touch with candidates, all warm and fuzzy. Not my purpose. Instead, get in touch with reality. The purpose of hiring is to get some work done.

Work is making decisions and solving problems. Few hiring managers think about the problems that have to be solved and the decisions that have to be made in a team member’s role. That is where it starts. The hiring manager is looking for someone to make specific decisions and solve specific problems. Until we figure that out, we will never hire the right person.

Here are the power questions to answer before you get into the interview room –

  • In this key area, what decisions have to be made?
  • What is the time frame for those decisions?
  • In this key area, what problems have to be solved?
  • What is the time frame for those solutions?

How Culture Touches the Work

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Culture is that unwritten set of rules that defines and enforces the required behaviors in the work that we do together. Many things we do are written down and comprise our standard operating procedures. But most things are unwritten. And, when we think of culture, here are some things that are often missed.

  • Who can belong to our team? (Membership)
  • Who has the authority to make decisions, in what situations?
  • How are team members given work assignments?
  • How often are team members given work assignments?
  • Do team members depend on work product from other team members?
  • How do team members hand off work to other team members? (Integration)
  • When a team member completes a work assignment, how does their supervisor know?
  • When a team member completes a work assignment, how do they know what to work on next?
  • Does anyone review or inspect their work?
  • How often is their work reviewed or inspected?
  • Are they permitted to continue on additional work before their current work has been reviewed?
  • Do they work on multiple assignments simultaneously?

The people system is the most important system you work on. This is just the start.

Do I Have the Authority?

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“But, I am the manager, shouldn’t I have the authority to make some decisions around here?” Amber asked.

“Ah, yes. Authority,” I replied. “You must understand, however, that authority comes with accountability. Neither comes first. You cannot have the authority to make a decision without the accountability for the outcome of that decision. Conversely, you cannot be held to account for the outcome unless you have the authority to make the decision.”

“So, just exactly what decisions do I have the authority to make around here?” Amber pressed on.

“To know that, you have to examine your goals and objectives.” Amber had an unspoken question on her face. I continued, “Your goals and objectives, agreed upon by you and your manager, set the context for your accountability (output) and the authority you have to make decisions to reach those goals.

“In the beginning, that authority may be unclear. That is why you meet with your manager more frequently, to clarify the context, define the accountability and determine your authority. As time goes by, your confidence will increase and so will your understanding of the discretion you have to make appropriate decisions.

“The most important understanding, where you have authority to make decisions regarding the output of your team, you also have accountability for that outcome. Do not think you can have the authority without the accountability.”

People Model

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We continue to step our way through a short list of identified hallmarks of Agile through the lens of Levels of Work. Today, we move down the list to the people model.

  1. North star embodied across the organization.
  2. Network of empowered teams.
  3. Rapid decision making and learning cycles.
  4. Dynamic people model that ignites passion.
  5. Next generation enabling technology.

Dynamic people model
Levels of work identifies a robust framework where each role is defined by its level of decision making and problem solving. Effective decision making and problem solving at each level of work requires a concomitant level of cognitive capability.

In the transformation from analog to digital, there will be obsolete roles no longer needed and new roles created. As new roles are created, the organization has to identify the level of work in the new role and the corresponding cognitive capacity of the candidates for those roles. When people are challenged to work at or near their highest level of capability, in work they value, there is no need for motivational speakers to raise morale.

Most analog organizations define managerial roles as reporting relationships. In a digital organization, managerial roles shift from reporting relationships to a value stream, where managers are required to bring value to the problem solving and decision making of the team. This process brings alive the concept of “servant leadership.”

Rapid Decision Making

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In my last post, we made two steps down a short list of hallmarks of Agile through the lens of Levels of Work. Today, we move down the list to rapid decision making.

  1. North star embodied across the organization.
  2. Network of empowered teams.
  3. Rapid decision making and learning cycles.
  4. Dynamic people model that ignites passion.
  5. Next generation enabling technology.

Rapid decision making and learning cycles
Technology is transforming analog organizations to digital organizations. Many decisions (made with incomplete, unknown or unknowable data) become calculations (complete and known data) according to defined algorithms. A decision is made in the context of incomplete information. A calculated adjustment is made in the context of complete data.

In the digital world, this data is captured in real time and is more transparent to more people in multiple functions. There will be no more waiting for a report from accounting. That data will be available in real time. And, with that accurate data available in real time, there is no need for a role that captures, collates and compiles the data, no need for a role to review the data. Analog roles slow things down.

Levels of Work acknowledges that some roles will be gone and new ones appear. The level of work is likely to be higher. It is no longer a matter of gathering and compiling data, it is a matter of which data to stream, to whom. Which data is relevant, which data irrelevant? What sensors gather the data to stream? What new sensors are available to gather new data? What sensors are obsolete?

In what technology do we invest our limited resources? Our decision making and learning cycles have to come faster.

Any Decision, Any Problem

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Think about any decision. You have to think about, not only the consequences of that decision immediately, but also the consequences in a month, three months or a year. An immediate positive consequence may create the circumstance for a negative consequence in three months time.

Same thing goes for a problem to be solved. You have to think about, not only the consequences of that solution in the near term, but the consequences in a month, three months or a year. An immediate solution may create the circumstances for a larger problem in three months time.

Take a high mileage vehicle and extend its preventive maintenance cycle by 30 days. You will save the cost of a maintenance cycle. In three months time, you will not likely notice any difference, but over two years time, you may experience catastrophic vehicle failure. And, it may not just be the cost of the repair, but the delay in the critical path of a project (just to save an oil change).

A World That No Longer Exists

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Best Practices are based on past experience, a best practice to a problem that we already solved. Necessary but not sufficient.

Past experience may be helpful, but seldom covers all the bases. Past experience seldom anticipates change and often misses critical elements that will be different in the future.

Best Practices are what we teach in school. Those who live by Best Practices will find themselves perfectly equipped to deal with a world that no longer exists. Accomplishment always happens in the future.

Paper, Scissors, Rock

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“So, just exactly how far out to lunch were you, when you made that decision?” I asked.

Clarence laughed. It was the first bit of levity around a decision that cost his company $125,000. “I know, I know,” he replied. “It was a pretty bone-headed decision.”

“Seriously, what did you miss?”

“I was so focused on the increased productivity we forecast when this new machine came online, that I forgot to ask some basic questions.”

“Like?”

“I assumed the concrete floor would support the weight of the replacement machine. There were plenty of signs to tell me otherwise, but I didn’t pay attention to the floor because I paid attention to productivity.”

“Details?”

“You’re making this painful. When we pulled the old machine out, there were stress cracks in the concrete underneath. I thought, after 20 years, they were just cosmetic. But, there wasn’t enough steel reinforcement in the pad to hold the weight of the new machine.”

“What did you learn?”

“Before you make a decision, you have to lay out – what is an assumption and what is a fact. I was playing paper, scissors, rock with concrete and steel.”

Computers Do Not Make Decisions

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Decisions are made on a continuum from fact-based to gut-response.

The advantage to fact-based is, the alternatives are well-considered, analytical, defensible. The disadvantage is the decision may be made too late.

The advantage to gut-response is speed, intuition, it feels right. The disadvantage is the decision may be wrong.

The best decisions are made in the middle. The more data you have, the more likely your intuition is to be accurate.

Decisions are always made with incomplete data. There is always uncertainty. If there were no uncertainty, it would not be a decision, it would be a calculation. Computers do not make decisions, they run algorithms, calculations. In the face of ambiguity, it is only people who can make decisions.

So, why all the fuss about artificial intelligence?

For some decisions, computers can gather enough data, quickly enough, to make a calculation, run an algorithm, to remove uncertainty, while a human is still gathering data, faced with ambiguity. That is why, in some circumstances, a computer can make a faster, more accurate diagnosis than a human.

What Else Do You Need to Know?

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Before you make any decision, before you solve any problem –

  • What do you need to know, to more clearly understand the problem?
  • Does what you know point to the symptom of the problem, or point to the cause the problem?
  • If you gave the cause of the problem a name, what would be its name?
  • What else do you need to know, to more clearly understand the cause of this problem you named?
  • Do you know enough about the cause of the problem to generate a plausible solution, or do you need to know more?
  • How would you explain the cause of the problem to someone else?
  • If you were someone else, how would you understand the cause of the problem differently?
  • If you were someone else, what other alternatives would you suggest?
  • As you consider these alternatives, could some be combined? Could you take the front end of one idea and patch it to the back end of another?
  • What would happen if you ran an alternative backward or upside-down?

Sometimes, solving a problem has more to do with questions than answers.