Project Management Warning Flag 3 – Frequent Re-baselining

Changing circumstances and constrained resources challenge the on-time, on-budget completion of every project. And in the real business world, some projects incur significant scope changes and others will fall behind schedule.


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Standards and Expectations Warning Flag 1 – Standards Creep

StrategyDriven Standards and Expectations Warning Flag articleHave you ever been confronted by a customer’s challenge that your product or service quality just isn’t what it used to be? Or notice the number of quality defects in your products or services has somehow increased over the past months, quarters, or years? Or felt so much pressure to get something done that you deemed the quality to be ‘good enough for government work?’

All of these are signs of standards creep; not a beneficial raising of the bar but rather an allowance of ever worsening performance.


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Decision-Making Warning Flag 1c – ad hominem: Personal, Not Issue Attacks

StrategyDriven Decision Making Article | ad hominem“An ad hominem argument, also known as argumentum ad hominem (Latin: “argument to the man”, “argument against the man”) consists of replying to an argument or factual claim by attacking or appealing to a characteristic or belief of the person making the argument or claim, rather than by addressing the substance of the argument or producing evidence against the claim. The process of proving or disproving the claim is thereby subverted, and the argumentum ad hominem works to change the subject.

It is most commonly used to refer specifically to the ad hominem abusive, or argumentum ad personam, which consists of criticizing or attacking the person who proposed the argument (personal attack) in an attempt to discredit the argument. It is also used when an opponent is unable to find fault with an argument, yet for various reasons, the opponent disagrees with it.”

Ad Hominem
Wikipedia

The ‘Old Boys Club’

Product defects plague a company’s profitability; warranty repairs, returns, and lost sales robbing the organization of its already slim profit margins. Executives assembled an engineering team to assess product designs and material quality in hopes of identifying a root cause to the defective product issue. A junior member of the assessment team, a young, recently hired assembly line supervisor, identifies the lack of routine calibration of critical cutting tools as a contributor to the poor fit of key product components. The tenured company engineers on the team discount the supervisor’s observation because he’s too young and too new to know what’s really important. These senior engineers have just made an ad hominem argument to advance their position.

Ad hominem arguments are bias-based logic fallacies made to support business decisions every day. As with all logic errors, decision-makers fall prey to the appearance of reasonableness, especially when the assertion supports their desired course of action. Although difficult, recognizing and eliminating the use of ad hominem arguments in decision-making is absolutely necessary.


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Additional Information

Additional insight to the warning signs, causes, and results of logic errors can be found in the StrategyDriven website feature: Decision-Making Warning Flag 1 – Logic Fallacies Introduction.

Insights on organizational diversity and inclusion can be found in the StrategyDriven topical area: Diversity and Inclusion.

Organizational Accountability Best Practice 2 – Data Transparency

StrategyDriven Organizational Accountability Best Practice ArticleIs it still wrong if I don’t get caught? YES!

Organizations live and die by the decisions of executives and managers and the actions of employees. Therefore, individuals must be held accountable for their work that both helps and hinders goal achievement if the organization expects to thrive. This accountability can only happen, however, if the decisions/actions and associated results are visible. Data transparency helps create this visibility.


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Predefined and Reinforced Data Standards

You’ve heard it a million times, “garbage in, garbage out.” But this axiom couldn’t be more true than in the case of organizational performance measures where in so many instances even a minute change in the data entered results in a profoundly different indicated performance. So how can an organization’s leaders be confident in the accuracy of their performance measurement data and the resulting measures? By defining and reinforcing a comprehensive set of organizational performance measure data standards.


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