~/ai_assets_directory_
Claude Skill verified · tested by us 448 stars · whole nimrodfisher/data-analytics-skills repo
data-analytics-impact-quantification.skill

Impact Quantification

Turns a finding into a defensible low, base, and high impact estimate instead of a single made-up number.

Overview

Impact Quantification runs after a finding surfaces a potential action, change, or opportunity, producing a defensible numeric estimate stakeholders can act on, or ranking a backlog of initiatives by quantified impact.

What it covers

  • Classifies the impact type: revenue growth, cost reduction, risk reduction, or efficiency gain, since each has its own formula family.
  • Gathers baseline metrics, affected population size, expected lift, time horizon, and confidence level.
  • Builds a point estimate using the matching script for revenue or cost scenarios.
  • Adds low, base, and high uncertainty bounds, since a single number without a range never ships.
  • Documents every estimated input's assumption and sensitivity, then packages the full estimate with a recommended action.

Part of Data Analytics Skills

This is one of 31 skills in the Data Analytics Skills library, in the Stakeholder Communication group.

Installation

  1. Clone the repo once: git clone https://github.com/nimrodfisher/data-analytics-skills.git
  2. Copy just this skill: cp -r data-analytics-skills/05-stakeholder-communication/impact-quantification ~/.claude/skills/ (or ~/.agents/skills/ for Codex)
  3. Ask your agent something like "estimate the revenue impact of fixing this checkout bug" and it activates on its own.

See the Data Analytics Skills entry for the full library.

Related assets