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A Claude skill for measuring AI delivery value. Replaces tokens, story points & velocity with one honest metric: outcomes earned vs effort burned.

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Show HN Earned vs. Burned, Claude skill for measuring AI delivery value

by harveer10x·Jun 29, 2026·1 point·0 comments

AI Analysis

MidNiche Gem

Outcome-based metrics framework, but consulting methodology wrapped as a Claude skill.

Strengths
  • Five-level outcome hierarchy gives concrete gates from dev complete to verified KPI impact.
  • Earned per AI Token metric directly challenges industry's token-volume obsession.
  • Integrates with Linear, Jira, Asana, GitHub Issues without requiring workflow changes.
Weaknesses
  • No technical novelty—framework is established consulting wisdom repackaged for AI teams.
  • Depends entirely on Claude's function calling; no standalone dashboard or API.
Category
Target Audience

Engineering managers and teams measuring AI delivery outcomes

Similar To

Linear · Jira · Asana

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