[ABTEST-427] DOC: Write a summary of the Statistical Engine approach Created: 22/Mar/21  Updated: 23/Apr/21  Resolved: 06/Apr/21

Status: Closed
Project: A/B Testing
Component/s: None
Affects Version/s: None
Fix Version/s: None

Type: Task Priority: Neutral
Reporter: Laura Delnevo Assignee: Julie Legendre
Resolution: Fixed Votes: 0
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified

Attachments: PNG File Screenshot 2021-03-29 at 19.38.09.png    
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Epic Link: DOC: A/B Testing add-ons documentation
Sprint: Content Mngmt 01
Story Points: 0.5

 Description   

The Statistical Engine is a fundamental mechanism of the success of the ABn Testing. Whilst we do not want to share details of own algorithm, we should provide user with an overview of what approach we've taken

  • Write one of two paragraphs summarising our statistical engine
  • Pass the overview to docu team for its addition to the existing documentation 

Useful links

 

Draft for docu

  • Suggestion. Could be part of the "How results are calculated" section. jlegendre  text in italics is the suggested addition to the section
    • Alternatively, the additional information would also sit well with the information/screenshot of the set-up tab (screenshot)
    • I added sources for internal reference only

The Magnolia algorithm is built on the Frequentist approach, which optimises traffic volumes - even when the traffic is low, conversion rates and may reduce the number of observations required for a successful experiment by 50% or more. Predictions are made using data from the current experiment only. 

 



 Comments   
Comment by Julie Legendre [ 06/Apr/21 ]

Thanks for doing all the leg work on this content ldelnevo. Much appreciated :bow:

Comment by Michael Duerig [ 23/Apr/21 ]

Here's some links to how competitors document their approaches:

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