Aug 22 2017
The fallacy of maturity assessments | Chris Hohmann
“Maturity assessments are a kind of qualitative audit during which the current ‘maturity’ of an organization is compared to a maturity reference model and ranked accordingly to its score.[…] The maturity assessment is usually quite simple: a questionnaire guides the assessment, each maturity level being characterized by a set of requirements. It is close to an audit.
The outcome of such an assessment is usually a graphic summary displaying the maturity profile or a radar chart, comments about the weak points / poor scores and maybe some recommendation for improvement. […]
Maturity assessments are not a bad thing per se, but their practicality and simplicity are often misused to assess more than just maturity (or awareness). This is most often misleading because of the false underlying assumptions and promoting wrong behaviors and practices.”
Sourced through Chris Hohmann’s blog
Michel Baudin‘s comments:
I agree with Chris’s analysis, but my conclusions are blunter. Scoring an organization in terms of compliance with a set of practices is like judging a chess player by the number of pawns moved per game. It’s doable but irrelevant, and a distraction from the real work of improvement. The record of this approach is that you have organizations scoring top marks on every axis while going bankrupt and low scoring organizations that prosper.
Aug 24 2017
Sophisticated Graphics In The New York Times
“Even after decades of affirmative action, black and Hispanic students are more underrepresented at the nation’s top colleges and universities than they were 35 years ago, according to a New York Times analysis. The share of black freshmen at elite schools is virtually unchanged since 1980. Black students are just 6 percent of freshmen but 15 percent of college-age Americans, as the chart below shows.”
Sourced through the New York Times
Michel Baudin‘s comments: This morning’s New York Times contains an article with data visualizations at varying levels of detail that are far more sophisticated than the usual pie charts and stacked bar charts commonly found in the American press as well as in business presentations and shop floor performance dashboards.
The exact meaning of the above chart between the title and the lead of the article is not immediately obvious. After looking at it for a minute or two, you realize that it has a high data-to-ink ratio: it makes a non-trivial point in a flourish-free format that I think Edward Tufte would approve.
The article is about the relative representation of different groups in the student population of 101 institutions, including the Ivy League, University of California campuses, “top liberal arts colleges,” “other top universities,” and “public flagship universities.” The study compares the proportion of freshmen enrolled from each group to their proportion in the college-age population as a whole.
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By Michel Baudin • Press clippings • 0 • Tags: Chart Junk, Data visualization, Data-to-ink ratio