T-Shirt Sizing: Difference between revisions

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==Relative Sizing==
==Relative Sizing==
An approach that is common in [[Agile Estimation]] is to use relative sizing to size items relative to each other. One common technique for T-Shirt Sizing is to use a 2 series where an '''S''' is equivalent of one unit of work or effort required to complete the item, and a '''M''' is equivalent to 2 x '''S''' e.g.:
An approach that is common in [[Agile Estimation]] is to use relative sizing to size items relative to each other. One common technique for T-Shirt Sizing is to use a 2 series where an '''S''' is equivalent of one unit of work or effort required to complete the item, and a '''M''' is equivalent to 2 x '''S''' and so on:
* '''XS''' = 0.5 x '''S'''
* '''XS''' = 0.5 x '''S'''
* '''S''' = 1
* '''S''' = 1
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* '''XXL''' = 2 x '''XL'''
* '''XXL''' = 2 x '''XL'''


And so on, which provides an exponential scale to work with and can be used in conjunction with [[Affinity Estimation]] for example.
[[File:T-Shirt_Sizing.jpeg|500px|T-Shirt Sizing]]
 
This series then provides an exponential scale to work with and can be used in conjunction with [[Affinity Estimation]] for example.


==See Also==
==See Also==

Latest revision as of 01:59, 16 June 2021


T-Shirt sizing is a very popular technique to provide relative abstract sizing for backlog items.

T-Shirt Sizes

Just like the name suggests, common T-Shirt sizes include:

  • small (S)
  • medium (M)
  • large (L)

For additional granularity of sizes the below may also be used:

  • extra small (XS)
  • extra large (XL)
  • extra extra large (XXL)

Relative Sizing

An approach that is common in Agile Estimation is to use relative sizing to size items relative to each other. One common technique for T-Shirt Sizing is to use a 2 series where an S is equivalent of one unit of work or effort required to complete the item, and a M is equivalent to 2 x S and so on:

  • XS = 0.5 x S
  • S = 1
  • M = 2 x S
  • L = 2 x M
  • XL = 2 x L
  • XXL = 2 x XL

T-Shirt Sizing

This series then provides an exponential scale to work with and can be used in conjunction with Affinity Estimation for example.

See Also

References