Analysis Assumptions Log

Overview

Analysis Assumptions Log starts the moment an analysis has significant scope, method, or data quality choices to make, especially before peer review, stakeholder sign-off, or in a regulated environment where auditability matters.

What it covers

• Initializes a structured log entry with the analysis name, date, analyst, and the decision it informs.
• Enumerates data assumptions (representativeness, completeness, missing-value handling) with a rationale and a confidence level for each.
• Enumerates business logic assumptions (metric definitions, time windows, inclusion rules) and any alternatives considered.
• Enumerates statistical assumptions relevant to the methods used.
• Flags critical, low-confidence, high-impact assumptions with a validation plan, and updates the log as validation happens.

Part of Data Analytics Skills

This is one of 31 skills in the Data Analytics Skills library, in the Documentation & Knowledge 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/02-documentation-knowledge/analysis-assumptions-log ~/.claude/skills/ (or ~/.agents/skills/ for Codex)
3. Ask your agent something like "log the assumptions behind this analysis before I send it for review" and it activates on its own.

See the Data Analytics Skills entry for the full library.