Blind spots with the pareto principle

The Pareto principle, also known as the 80/20 rule, hinges on the idea that most outcomes are driven by a minority of causes.

ANALYTICS

Kaushik

2/8/20242 min read

An image depiction of the pareto analysis
An image depiction of the pareto analysis

The Pareto principle, also known as the 80/20 rule, hinges on the idea that most outcomes are driven by a minority of causes. In the context of job offers and new opportunities, this principle suggests that a significant portion of results can be attributed to a small number of key factors

To conduct a Pareto analysis, you can follow these steps:
Assign weights to various factors based on their perceived importance, using a scale of 1 to 10, where 10 represents the highest weight.
Arrange these factors in order of occurrence in each job offer or opportunity, from highest to lowest.
Create a bar chart displaying factors in descending order of importance, with the most frequently occurring causes listed first.
Calculate the cumulative count for each factor in descending order.
Compute the cumulative count percentage for each factor using the formula: {Individual Cause Count} / {Total Causes Count} * 100.
Add a second y-axis to the chart with percentages descending in increments of 10 from 100% to 0%.
Plot the cumulative count percentage on the x-axis and join the points to form a curve.
Draw a horizontal line at the 80% mark on the y-axis, running parallel to the x-axis. Drop a line from this point to find the intersection with the curve on the x-axis. This intersection represents the point where the vital few important causes are separated from the trivial many less important causes.

While the Pareto principle is a powerful tool for identifying key factors, it is essential to be aware of its potential blind spots:

Overemphasis or relying too heavily on the 80/20 rule can lead to the neglect of the remaining 80% of factors, which may still contain valuable insights or opportunities. Some smaller factors may generate significant impact in specific contexts.
For example in rapidly changing environments, the relevance of causes may shift. What was once a vital few can change over time, so continuous reassessment of factors is necessary.
Linear Thinking: This analysis can encourage a linear perspective on problems, limiting creativity and the exploration of more complex relationships between causes and effects. For eg a problem - solution approach
Imagine a company finds that a particular product is underperforming in sales. A linear thinker may immediately suggest increasing advertising without considering other factors such as market demand, pricing strategy, competition, or product quality. This approach overlooks broader issues that might need addressing before sales can improve ...
and then there is the classic cause and effect : Example: An engineer identifies that a machine is breaking down frequently and recommends purchasing a new model as a solution. The linear thought process only addresses the breakdown without investigating potential underlying causes, like insufficient maintenance or improper usage. Point fixes in software engineering parlance.
To overcome these blind spots, consider the following strategies:
Broaden Your Analysis: Regularly review and analyze the full spectrum of factors. This helps ensure that you don't miss opportunities or insights from the less prominent causes.
Reevaluate Periodically: Conduct periodic reviews of your analysis to account for changes in context, priorities, and outcomes. This will help keep your focus relevant.
Encourage Diverse Perspectives: Engage a team with varied expertise to assess factors. Diverse viewpoints can reveal hidden causes or alternative solutions that might not be apparent from a single perspective.
By acknowledging these blind spots and employing a more holistic approach, you can enhance the effectiveness of the Pareto principle and derive valuable insights from your analysis.