[Product update] Infrastructure Analysis Tool is now available with Business Accounts.Learn More


5 Tips For Long Jumpers: A Sprinter's Approach to Agile Software Development

Published on
13,467 Points
9 Endorsements
Last Modified:
Kevin Cross
Father, husband and general problem solver who loves coding SQL, C#, Salesforce Apex or whatever.

5 Tips For Long Jumpers:
A Sprinter's Approach to Agile Software Development

As a Sprinter, long jumping — applying momentum to progress by leaps and bounds — is a natural and complementary skill. In the following article, I will share my five tips to long jumping: avoid over-thinking, avoid burnout, expect gravity, fall focused, and fall forward. These five tips have been helpful to me not only in Track & Field but also in programming and project management. I hope they serve you well also.

Avoid Over-thinking.
There may be many approaches, but I will discuss two.

Precise process. High jumping and pole vaulting are good examples. If one has the core strength and correct process, the precision in executing the process is more important than the speed of the approach, i.e., some tasks have a quality bar one must rise over to be successful.

Rapid technique. Contrary to above, there is a little more margin for error here and raw speed is a factor. For example, in long jump, one can measure steps or sprint hard to the obvious target, i.e., marking off steps can slow one down unnecessarily in certain tasks.
The critical point here is: do not belabor simple tasks, but also do not under-think complex ones.

Avoid Burnout.
After gaining the proper momentum, it is tempting to take off like a rocket. Just be careful on the burn rate. One does not want to land in the same spot — exhausted.

What goes up must come down! Most projects have roadblocks; do not fear friction — adapt.
Expect Gravity.
If one's burn rate is too linear, the pull of gravity may end a task abruptly — again, "what goes up must come down." Remember, especially if one is Agile, directions change; therefore, plan ahead. If one covers a good distance before peaking, the path downward should cover decent ground also.

Fall Focused.
Do not forget technique. Speed is important, but by no means eliminates discipline. Stay on task while in flight. Focus on forward progress.

Do not let desired success negate actual success. One can achieve success on only two of the three project constraints — schedule, budget, and quality; therefore, on-time low-expense tasks may fall short on scope.
Fall Forward.
Do not ruin good effort by falling backward — leave the sandbox moving forward, i.e., do not let desired success negate actual success. This jump may not be one's best ever, but it may be enough to win. Winning affords more opportunity!

In short, choose an approach with appropriate thought, attack the tasks with disciplined aggression, and finish each effort with positive progress.

Best regards and happy coding,

Kevin C. Cross, Sr. (mwvisa1)

Related Articles:

 If you found this article helpful, please click the Yes button near the:

      Was this article helpful?

label that is just below and to the right of this text.   Thanks!
Author:Kevin Cross
LVL 61

Author Comment

by:Kevin Cross
Special Thanks to Michael (DrDamnit) for guiding me to the now published final product. I hope the effort shows. *smile*

Special Thanks also to Jason (@jasonclevine) for not only his guidance but also my favorite paraphrase of "A jump may not be one's best ever, but may win."

Again, thank you to everyone for reading!

Best regards and happy coding,


Expert Comment

Kevin - Excellent work!
The title is an eye-catcher - it drew me in to read - and you delived with some excellent writing.
Thank you for putting this together.

"Yes" vote above.
LVL 18

Expert Comment

Helpful article.  Voted yes, above.
Learn SQL Server Core 2016

This course will introduce you to SQL Server Core 2016, as well as teach you about SSMS, data tools, installation, server configuration, using Management Studio, and writing and executing queries.

LVL 32

Expert Comment

Big Yes!
LVL 10

Expert Comment

Great article!
LVL 61

Author Comment

by:Kevin Cross
Thank you, Ryan!

Featured Post

Introduction to R

R is considered the predominant language for data scientist and statisticians. Learn how to use R for your own data science projects.

Join & Write a Comment

Integration Management Part 2

Keep in touch with Experts Exchange

Tech news and trends delivered to your inbox every month