« Surveys on sensitive topics | Main | Reading Predictive Analytics »


Feed You can follow this conversation by subscribing to the comment feed for this post.

Ben Alamar

As a professor who is graded by his students, I would suggest that the effectiveness of this tool is based on how good the tool is. If students are asked if they like the professor or if they think the professor is good, then you are right, it is a popularity contest and probably useless at best. If however the survey is effective and looks at particular areas of performance AND the data from the survey can be shown to increase performance in other areas, then it can be a very effective tool.


Ben: Good points.

Would like to see a study of the correlation between the average grade given by a professor (or the proportion of C or below) and the average rating of the professor.


Its an interesting statistics - Many of the most performing managers are not well liked. I sure do understand the reason behind this too - manager lacks some very important characteristics. One of them is people handling and management.

Melanie Schulz

To be fair many people rely on brainteasers less to see whether they will get the correct answer and more to see how the candidate goes about finding it. The famous "how many degrees between the hour and the minute hand at 15:15" leads many people to just blurt out "0" without having thought about it. I would evaluate that as lack of reflectivity.

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.


Post a comment

Your Information

(Name is required. Email address will not be displayed with the comment.)


Link to Principal Analytics Prep

See our curriculum, instructors. Apply.
Business analytics and data visualization expert. Author and Speaker. Founder of Principal Analytics Prep, MS Applied Analytics at Columbia. See my full bio.

Next Events

Apr: 3 How 3 Women Became Data Scientists (Panel), Principal Analytics Prep, NYC

Apr: 25 Analytics Careers Advice, Stevens Institute of Tech, Hoboken, NJ

Apr: 26 Data Visualization Guest Lecture, NYU, New York, NY

May: 2 New York Marketing Association Big Data Workshop, NYC

May: 5 NYPL Analytics Careers Talk, NYC

May: 8 Data Visualization Seminar, Denver, CO

Past Events

See here

Future Courses (New York)

Summer: Statistical Reasoning & Numbersense, Principal Analytics Prep (4 weeks)

Summer: Applied Analytics Frameworks & Methods, Columbia (6 weeks)

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee


  • only in Big Data