Troubleshooting based on Kepner-Tregoe approach

Posted by : on

Category : troubleshooting


How to isolate issues based on Kepner-Tregoe approach

Issue Type : Error / No Error (Issues can be classified into issue with error where the error needs to be resolved or an issue where we do not have an error message.)

Error:

Issues where we have an error while performing something would need investigating and isolation by collecting relevant data with following format.

Define the Problem:

  • Intermittent or Constant error
  • Get Organization URL
  • Get error timestamp in UTC or local time of user and convert to UTC

Can the problem be reproduced?

  • Does this happen on other machines or other environments like a different organization or different browser?
  • Approval for support instance for online organization
  • Approval for Database copy for On-Premise instances

What makes the problem worse or better?

  • When did the issue start happening?
  • How many users are impacted?

What’s changed or new?

  • What was done before the issue start happening?

Can I reduce the complexity?

Has someone else already solved this problem?

  • Do Google Search with the exact error message in Unify Global Search and Internet

Document the work: screenshots, logs, etc.

  • Capture exact error message including the entire error stack.
  • Document the Kusto Query and Results/Verbose error logs
  • Capture exact steps to reproduce the issue in environment from the moment or logging into the organization
  • Get Problem Steps Recorder or video recording of the issue
  • Get Fiddler trace or console error logs from browser as HAR file

No Error:

If there is no error to fix either the logging is not proper

  • What is exact ask? (could be advisory)
  • Are they referring some article?
  • Is the issue related to D365 CE?

About Abhilash Panicker
Abhilash Panicker

Hi I a Abhilash, a web developer and Data enthusiast.

Email : abhilash.panicker@outlook.com

Website : https://dbugr.netlify.app/

About Abhilash Panicker

Hi, my name is Abhilash. I am a data enthusiast, I love to talk about how data can make an impact. I am trying to put my findings to pen and paper with this site

Star
Useful Links