Recommendation and sensitivity
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
present a recommendation that survives challenge.
Planned topics
- Weighted criteria: agree weights with stakeholders before scoring.
- Score each option with evidence, not impressions.
- Sensitivity: change weights and see whether the winner changes.
- State risks, assumptions, and what would change the recommendation.
Draft outline details
Demonstration
a scoring table with three options, weights, scores, totals, and a sensitivity row: "if integration weight rises from 20% to 30%, rank stays; if cost falls below 10%, option B overtakes".
Check your understanding
What does sensitivity analysis show?
Show answer
Whether the result changes when weights or assumptions change.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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