iiRecord
Agentic AI Atlas · RICE Prioritization
methodology:RICE-prioritizationa5c.ai
II.
Methodology JSON

methodology:RICE-prioritization

Structured · live

RICE Prioritization json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · domain/methodologies/methodologies-expanded.yamlCluster · domain
Record JSON
{
  "id": "methodology:RICE-prioritization",
  "_kind": "Methodology",
  "_file": "domain/methodologies/methodologies-expanded.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "RICE Prioritization",
    "description": "A scoring framework for prioritizing features and initiatives by evaluating\nfour factors: Reach (how many users affected), Impact (degree of effect per user),\nConfidence (certainty of estimates), and Effort (person-months required). The\nRICE score (Reach x Impact x Confidence / Effort) produces a single comparable\nnumber for stack-ranking competing priorities objectively.\n",
    "methodologyKind": "prioritization",
    "origin": "Intercom",
    "yearIntroduced": "2016"
  },
  "outgoingEdges": [
    {
      "from": "methodology:RICE-prioritization",
      "to": "domain:project-management",
      "kind": "applies_to"
    },
    {
      "from": "methodology:RICE-prioritization",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": []
}