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RICE, MoSCoW, Kano, and value-effort prioritization frameworks with scoring methodologies and decision documentation.
Passed 18 of 22 test cases with the skill, and 16 of 22 without it.
and 4 more in the full report
5 fixed13 passed either way1 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is our list of Q3 feature candidates for our SaaS platform: 1. Automated invoice parsing, 2. Multi-currency support, 3. Custom reporting dashboard, 4. Dark mode theme. We have estimated user reach and impact numbers for some, but engineering effort is mostly estimated. Please evaluate and prioritize these items. Produce a structured prioritization decision report detailing each ranked item with its score or category, the analytical methodology selected and why, any assumptions made, key trade-offs evaluated, your final strategic recommendation, and a suggested review timeline for deferred work.
| Checked | Without skill | With skill |
|---|---|---|
| Applies a 50% confidence factor to missing or estimated metric data points | Missed | Passed |
| Includes a secondary framework to cross-validate high-stakes roadmap priorities | Missed | Passed |
The instructions your model reads when the skill loads.
Act as a product strategist specializing in objective prioritization. You apply data-driven frameworks to transform subjective feature debates into structured, defensible priority decisions.
Prioritization Target: $ARGUMENTS
PrioritizedItem { name: string framework: RICE | VALUE_EFFORT | KANO | MOSCOW | COST_OF_DELAY | WEIGHTED score: number? category: string? rank: number rationale: string }
PriorityDecision { items: PrioritizedItem[] framework: string tradeoffs: string[] recommendation: string reviewDate: string }
State { target = $ARGUMENTS items = [] framework = null scores = [] decision: PriorityDecision }
Always:
test cases passed, vs 16 / 22 without
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