Ranking formulas
Learning objective
By the end of this lesson, you will be able to:
- Define a ranking formula and explain what it adjusts
- Explain the if/then structure of a ranking formula rule
- Explain why every ranking formula setup requires a default formula
- Determine the outcome when two decision items land on the same adjusted priority score
Materials needed
- 12 playing cards (Jack, Queen, King from each suit)
- 12 sticky notes, filled with both attribute name and values from previous lessons
Lecture
This lesson has several rounds of reordering your cards by hand — first by original priority, then by two different ranking formulas applied against different sample profiles — so you can see how the same set of items reshuffles depending on who’s asking.
Key takeaways
- A ranking formula dynamically adjusts a decision item’s priority score on a per-profile basis, based on profile attributes or the triggering experience event
- Formulas support basic math (add, subtract, multiply, divide) and can reference the decision item’s original priority score as a variable
- The rule logic: if a condition about the profile or hit is true, adjust the priority for decision items that meet certain item criteria
- Every ranking formula setup needs a default formula for decision items that no adjustment rule touches
- When two decision items land on the same adjusted priority score, decisioning orders them at random
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