Walmart and Zenjob notes.
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.python-version
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.python-version
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np_scripts
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CustomerNotes/Blacklane/09.06.23_OpenSesame.md
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CustomerNotes/Blacklane/09.06.23_OpenSesame.md
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#
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Notes:
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*They have a contract with OpenSesame
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* Wants to improve search functionality
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*School Name Change?
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* They want to create categories based on departments
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*Something like sales with all the sales training in that category
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* Required training as well
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*Leadership training categories
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* Using Omnisend as an example
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*They will have mandatory training & open-access training/catalog
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* Employees should have a mix of both - required and self-enrolled.
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* For design, we either need a SOW or they need to do the work themselves.
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CustomerNotes/Blacklane/testcourse.md
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CustomerNotes/Blacklane/testcourse.md
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@ -637,22 +637,34 @@ TODO: Test if a course can be accessible outside of Northpass without it being a
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### Aditi Feedback on Learning Paths/Resource Bundles
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#### Notes and Action Items
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* Illustrations:
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* They are not up to date, so we will need the illustrations and list for the bundles.
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* Make sure the illustration style is the same across all bundles.
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* Height and Width are accurate.
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* Look at that card style for everything. It is accurate.
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* Time Count, Title, Description, Illustration
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* No change to Illustration for non-bundle cards.
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* They are not up to date, so we will need the illustrations and list for the bundles.
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* Make sure the illustration style is the same across all bundles.
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* Height and Width are accurate.
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* Look at that card style for everything. It is accurate.
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* Time Count, Title, Description, Illustration
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* No change to Illustration for non-bundle cards.
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* Experience/Overview Page:
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* If someone has completed a course outside of the resource bundle, it should be marked as complete.
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* Can we recalculate what courses are completed _before_ they go into the overview page?
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* If someone has completed a course outside of the resource bundle, it should be marked as complete.
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* Can we recalculate what courses are completed _before_ they go into the overview page?
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* Position of the Tags:
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* Reuse the new tag on the actual course/resource within the overview page.
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* Should match the category new tag.
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* Norm/Kaitlyn to discuss the logic of the new tag for within a resource bundle overview page.
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* Reuse the new tag on the actual course/resource within the overview page.
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* Should match the category new tag.
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* Norm/Kaitlyn to discuss the logic of the new tag for within a resource bundle overview page.
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* Copy & Font Size:
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* For all description copy, it should be 14px, Grey/Medium Contrast (Low).<-- Resource Bundles
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* For all title copy, Gray/High Contracts <-- Resources Bundles
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* For all description copy, it should be 14px, Grey/Medium Contrast (Low).<-- Resource Bundles
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* For all title copy, Gray/High Contracts <-- Resources Bundles
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* Feature Section:
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* Krystal and Travis to mull over the order of Featured cards, which should be resources, resource bundles, etc.
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* Krystal and Travis to mull over the order of Featured cards, which should be resources, resource bundles, etc.
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## 09/06/2023
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### Content Feedback
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* Now that Krystal is back with a "fresh set of eyes", she _loathes_ the text heavy nature of all the content.
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* She wants to work towards a KISS model - lets just keep it easier to obtain
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* Too much text. Needs videos
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* Frank can include more gifs and images, but they really need more videos.
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* Wants to improve the look and feel of the resource center.
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* Norm to get examples from other clients.
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CustomerNotes/Zenjob/09.06.23.md
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CustomerNotes/Zenjob/09.06.23.md
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# Attendees: Sophie, Nortm
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## Notes
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* KPIs exist, but she doesn't know all of them.
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* Number of people who completed the training exceeded all their expectations.
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* Sophie to get Norm the number of learners who completed vs what their
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expectations were.
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# Date
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## Goal -
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## Attendees -
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### Notes
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*
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*
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*
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from pathlib import Path
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import pandas as pd
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import
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currentdir = "/Users/normrasmussen/Documents/Work/CustomerNotes/"
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path_dir = Path("/Users/normrasmussen/Documents/Work/CustomerNotes/")
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pd.DataFrame()
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x = pd.DataFrame()
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def path_files(path_dir):
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listfiles = list(path_dir.glob("**/*.md"))
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print(f"Successfully made the '{path_dir}' directory.")
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for file in listfiles:
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strfile = str(file)
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company = strfile.split("/")[6][:-3]
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company = strfile.split["/"](6)[:-3]
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new_dir = path_dir / company
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new_dir.mkdir()
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file.rename(
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f"/Users/normrasmussen/Documents/Work/CustomerNotes/{company}/{company}.md"
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)
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print(company)
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company = strfile.split()
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if __name__ == "__main__":
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