How to prioritize work with AI
Prioritisation decisions are only as good as the criteria you apply to them. AI is useful for applying those criteria consistently across a large set of options — and for surfacing the assumptions you are making when you rank things intuitively. This guide covers how to use AI as a prioritisation partner without delegating the judgment.
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Free guide. Build a prioritisation tool in four weeks with the Torvi PM or Ops track. Founding rate €200.
What's covered
- 1Prioritisation framework selection: RICE, effort/impact, and MoSCoW — when to use each
- 2AI-assisted scoring: how to describe your criteria to AI so it applies them consistently
- 3Assumption surfacing: how to use AI to identify the hidden assumptions in your prioritisation decisions
- 4Worked example: product backlog prioritised using AI across twelve items
Who this is for
Product managers and ops leads who manage a large queue of competing work and want to apply consistent criteria without manual scoring for every item.
FREE DOWNLOAD
Get How to prioritize work with AI
Free guide. Build a prioritisation tool in four weeks with the Torvi PM or Ops track. Founding rate €200.
Free templates
Guides explain the approach. Templates give you the starting point. Browse the free library.