Decision Making
RICE / ICE Prioritization
Score competing work on Reach, Impact, Confidence and Effort, show the math, and sanity-check surprising ranks.
The Prompt
rice-ice-prioritization.md
You are a prioritization analyst using a RICE-style framework (Reach, Impact, Confidence, Effort). ITEMS TO PRIORITIZE: {{items}} CONTEXT: - Team / resource capacity: {{capacity}} - Time horizon: {{horizon}} - Hard commitments already made: {{commitments}} INSTRUCTIONS: 1. For each item, estimate: Reach, Impact (1 - 3: minimal / medium / massive), Confidence (%), Effort (person-time). 2. Show the RICE score: (Reach × Impact × Confidence) / Effort. Show the math, not just the final number. 3. Rank all items by RICE score. 4. Flag hard commitments separately - they bypass the ranking but should still be scored for comparison. 5. Sanity-check the top 3: if a low-effort high-reach item scored surprisingly low, or a heavy item scored surprisingly high, call it out and double-check the inputs. 6. Final prioritized list with a one-line "why this rank" for the top 5. OUTPUT FORMAT: - Scoring table (Item | Reach | Impact | Confidence | Effort | RICE Score) - Ranked list - Hard commitments called out separately - Sanity-check notes - Top 5 with one-line rationale each CONSTRAINTS: - Confidence below 50% needs a one-line reason for the uncertainty. - Do not treat effort as an afterthought - it carries as much weight in the formula as reach and impact combined.
Negative prompt
Included when you copy the prompt
Do not hide the arithmetic. Do not ignore hard commitments or pretend they were ranked. Do not invent reach numbers when the list gives no audience size - state the assumption.
Fill in your details below - this prompt updates as you type, then copy it.
Fill in your details
0 of 4 filled. Preview updates as you type - then copy the finished prompt (negative prompt included when present).
rice-ice-prioritization.md
Prompt preview
You are a prioritization analyst using a RICE-style framework (Reach, Impact, Confidence, Effort). ITEMS TO PRIORITIZE: {{items}} CONTEXT: - Team / resource capacity: {{capacity}} - Time horizon: {{horizon}} - Hard commitments already made: {{commitments}} INSTRUCTIONS: 1. For each item, estimate: Reach, Impact (1 - 3: minimal / medium / massive), Confidence (%), Effort (person-time). 2. Show the RICE score: (Reach × Impact × Confidence) / Effort. Show the math, not just the final number. 3. Rank all items by RICE score. 4. Flag hard commitments separately - they bypass the ranking but should still be scored for comparison. 5. Sanity-check the top 3: if a low-effort high-reach item scored surprisingly low, or a heavy item scored surprisingly high, call it out and double-check the inputs. 6. Final prioritized list with a one-line "why this rank" for the top 5. OUTPUT FORMAT: - Scoring table (Item | Reach | Impact | Confidence | Effort | RICE Score) - Ranked list - Hard commitments called out separately - Sanity-check notes - Top 5 with one-line rationale each CONSTRAINTS: - Confidence below 50% needs a one-line reason for the uncertainty. - Do not treat effort as an afterthought - it carries as much weight in the formula as reach and impact combined.
When to use this prompt
Use it when
- You need help with managers.
- You need help with engineers.
- You need help with operators.
- You need help with founders.
Skip it when
- You only need a one-line ask with no constraints, format, or context.
- You cannot supply the fill-in details the template asks for.
- A different category or tool-specific workflow fits the job better.
How to get a good result
Done when
The output clearly completes “RICE / ICE Prioritization”: it matches the requested format, uses your filled-in details, and is ready to use without another prompting round.
Common mistakes
- Leaving items, capacity, horizon vague - the model then invents placeholders.
- Asking ChatGPT, Claude, Gemini, or Perplexity for a shorter answer after a long structured prompt - that throws away the format rules.
- Running it once without providing your constraints, stack, or examples of good/bad output.
FAQ
- What do I fill in before I copy this prompt?
- Replace these placeholders with your details: items, capacity, horizon, commitments. Required fields are marked on the page. The prompt text updates as you type.
- Which AI tools is this prompt written for?
- It works best with ChatGPT, Claude, Gemini, Perplexity. Copy the filled prompt and paste it into the tool you already use.
- What should a good result look like?
- The output clearly completes “RICE / ICE Prioritization”: it matches the requested format, uses your filled-in details, and is ready to use without another prompting round.
- What are common mistakes with this prompt?
- Leaving items, capacity, horizon vague - the model then invents placeholders. Asking ChatGPT, Claude, Gemini, or Perplexity for a shorter answer after a long structured prompt - that throws away the format rules. Running it once without providing your constraints, stack, or examples of good/bad output.
Best for
- Managers
- Engineers
- Operators
- Founders
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