Importance of communication and how to improve it

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SUMMARY

The discussion centers on improving communication in technical contexts, particularly when clarifying the workings of a PERL script used for uncertainty calculations in data analysis. The author emphasizes the importance of asking specific questions about algorithms and methodologies rather than seeking vague explanations about the code itself. Key suggestions include requesting flow charts of the code and algorithm, and ensuring that code is well-commented to facilitate understanding. The conversation highlights the need for clear documentation and effective questioning to bridge communication gaps in technical discussions.

PREREQUISITES
  • Understanding of PERL scripting and its application in data analysis
  • Familiarity with uncertainty calculations and covariance matrices
  • Knowledge of algorithm design and flow chart creation
  • Experience in technical documentation practices
NEXT STEPS
  • Research best practices for writing comments in PERL scripts
  • Learn how to create flow charts for algorithms using tools like Lucidchart or Microsoft Visio
  • Explore methods for effectively communicating technical concepts to non-technical stakeholders
  • Study the principles of uncertainty analysis in statistical modeling
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Data analysts, software developers, project managers, and anyone involved in technical communication and documentation processes.

Grelbr42
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So the generic question here is, how to improve communication?

Recently I started a review task for a coworker's analysis. One of the items in the report for the analysis is a graph with a linear fit of some data. And the linear fit has uncertainty reported in the fitting parameters. So I ask "What did you do to produce these uncertainties?" His response is "I calculated them." Um... Click click click. "Yes, but what did you *do*?" So he starts to show me his PERL script. "Wait. OK. What does the PERL script do?" He tries to show me more script. "No no. Source code is not documentation." He looks quite upset with me but pauses. "What does the script do to calculate the uncertainties?" Suddenly he's back in the groove, walking me through 200 lines of PERL. And suddenly I see that he has included a covariance matrix. Sigh. I know what the client will do with *that*. They have a very large pile of such things behind their facility. On the far side of the parking lot behind the trees. "So you used the textbook formulas, fed the data in, and got reports of the uncertainty of the fitting parameters, yes?" Well... Yes. But my PERL script... "No no, that's quite alright. I have what I needed."

How could I have asked this question so that my meaning got through?
 
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If this is the first interaction of this sort, then I think it is natural to have some iteration on questions to get to the heart of the matter. I suppose in this instance you could have asked what type of uncertainty or equations are implemented by the code. You kept asking what he did, and he definitely wrote code. You also asked what does the script do. These are all easily interpreted to require answer that talk about the script.
 
Grelbr42 said:
"No no. Source code is not documentation."
Was the code commented? Was there a good summary of the code in the comments at the top of the file?
 
Grelbr42 said:
How could I have asked this question so that my meaning got through?
Be careful. You could find yourself with the added responsibility of supervising this person. Extra work, much frustration, and at the same pay.

Some suggestions:

What is the algorithm implemented in your code?

Sketch the flow chart of the your code.

Sketch the flow chart of the algorithm in your code. Yes. Now. Freehand.
 
berkeman said:
Was the code commented? Was there a good summary of the code in the comments at the top of the file?
No comments whatever. Variable names like xj and yq.
 
How could I have asked this question so that my meaning got through?

"What underlying methodology did you use to base your calculations on?"
 

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