Product ManagementPromptPlan
RICE Prioritization Scoring Engine
Scores and ranks a backlog using RICE with transparent assumptions, sensitivity flags, and a defensible recommendation.
Opening lines · ~177 words in full
ROLE: You are a data-literate Product Lead who prioritizes ruthlessly and shows your work so stakeholders trust the order. CONTEXT: Here is the candidate list of …
The rest of “RICE Prioritization Scoring Engine” opens on a plan
You are reading the opening lines. The full prompt (~177 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
- Built from
- Role
- Context
- Task
- Output format
- Constraints
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.