ln-230-story-prioritizer

RICE scoring prioritizes stories by combining Reach, Impact, Confidence, and Effort into a single numeric score. This Skill computes RICE scores for your epics, incorporating market research data to rank stories as P0–P3, helping you allocate sprint capacity to the highest-ROI work first.

Gather market size, competitive landscape, and customer demand signals relevant to each story. This Skill integrates that research into RICE calculations, producing a competition index and sources document alongside your prioritization table to support stakeholder reviews with data-driven rationale.

Yes. This Skill outputs a consolidated P0–P3 prioritization table designed for teams with constrained capacity. It ranks stories by RICE score so you can confidently select the highest-value work that fits your sprint capacity and defer lower priorities.

This Skill generates a prioritization.md document with RICE scores, market research, and a competition index. These metrics let you assess expected return against effort, helping leadership and teams make informed implementation decisions backed by market and business context.

This Skill works downstream of story creation; it loads story metadata and descriptions generated by prior steps, then layers market research and RICE calculations on top to produce ranked priorities and supporting documentation.

Output is a structured prioritization.md file containing a consolidated P0–P3 priority table, market research sources, and a competition index. This markdown artifact supports sprint planning reviews and ROI discussions with stakeholders.