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Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.

Use this Skill: https://skilld.dev/gh/nimrodfisher/data-analytics-skills/peer-review-template

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referencespeer_review_framework.md

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Peer Review Framework

How to structure and run an effective peer review of analytical work. Applies to notebooks, reports, dashboards, and SQL.


When to Require Peer Review

Situation Review required?
Analysis drives a major strategic decision (> $100K impact or irreversible) Yes — mandatory
Analysis goes into a stakeholder-facing dashboard Yes — mandatory
A/B test conclusions that will change product or pricing Yes — mandatory
Ad-hoc analysis for a recurring report Yes — recommended
One-off exploratory analysis (internal only) Optional
Quick sanity check / spot query Not required

Types of Review

Full Review

Scope: Logic, data, code, and communication
Time: 60–90 minutes
When: Strategic decisions, external reporting, production dashboards

Logic Review

Scope: Is the question answered correctly? Are the conclusions supported?
Time: 20–30 minutes
When: Most analytical deliverables

Code Review

Scope: SQL/Python correctness, reproducibility, performance
Time: 20–40 minutes
When: Scripts going into production, shared models, reusable pipelines

Sanity Check

Scope: Does the output look plausible? Are the numbers in the right ballpark?
Time: 5–10 minutes
When: Any analysis before the full review; quick gut-check


Reviewer Responsibilities

  1. Read the brief first — understand what the analysis was trying to answer before evaluating whether it succeeded.
  2. Review against the question, not your preferences — the right analysis for the stated question may not be the analysis you would have done.
  3. Be specific — "this is unclear" is not actionable. Cite the specific line, number, or claim.
  4. Distinguish blockers from suggestions — clearly separate must-fix issues from nice-to-have improvements.
  5. Be timely — return the review within the agreed window; a delayed review is a delivery blocker.

Author Responsibilities

  1. Provide context — share the brief or requirements doc with the reviewer; don't make them guess the question.
  2. Flag known issues — tell the reviewer upfront what you're unsure about. "I'm not confident the join is right" saves everyone time.
  3. Respond to every comment — even if you disagree; explain why. "Won't fix — the denominator is correct because..." is a valid response.
  4. Don't take feedback personally — a good peer review is a gift that improves the quality of your work.

Review Etiquette

Do Don't
Ask "why" when you don't understand a choice Assume it's wrong
Suggest an alternative Just say "this is wrong"
Acknowledge what's done well Only write critical comments
Categorise your feedback (must-fix / should-fix / minor) Leave priority ambiguous
Review promptly Let a review sit for days

Source: SKILL.md on GitHub

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    The skill provides a structured framework, guidelines, and templates for conducting peer reviews of analytical work. It consists entirely of informational markdown documentation and does not contain any executable code, network requests, or sensitive file access.

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    Score: 93/100 · 2 sections analyzed

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Last checked against GitHub 6 days ago.

Activeupdated 5 months ago

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