Affinity Estimation

Affinity estimation is a technique to group user stories based on their similarities in complexity and size. Affinity estimation enables a large number of stories to be estimated quickly.

Steps of affinity estimation could be as follows:

  • a relative measure unit is agreed by the team and different measure sizes are written into columns on a wall.
  • an already completed user story is placed in each column, the size of which has been proven. These user stories are then used as a reference for comparision.
  • The team takes stories from the backlog list (written on sticky notes), compares them to the reference story, and place them on the appropriate columns (affinity).

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