Claim Evaluation Sheet

Evaluate the quality of a claim using a structured Claim–Evidence–Reasoning–Counterargument sheet. Spot common fallacies. Export PNG/PDF.

Use the Claim–Evidence–Reasoning–Counter structure to review arguments, spot logical fallacies, auto-save in your browser, and export tidy PNG / PDF handouts.
Critical ThinkingArgument ReviewClassroom DiscussionEvidence Analysis

Claim Evaluation Sheet

Evaluate the quality of a claim using a structured Claim–Evidence–Reasoning–Counterargument sheet.

Unsure? Hover or tap a tag to see a brief explanation.

Quick Guide

  • Claim: One-sentence, testable statement. Avoid ambiguity and exaggeration.
  • Evidence: Verifiable sources and data. Separate facts from opinions. Include source and date.
  • Reasoning: Explain why evidence supports the claim. Beware "correlation ≠ causation".
  • Counterargument: Provide strong objections or alternatives to test robustness.
  • Conclusion: Summarize and propose adopt/keep/hold decisions based on evidence and objections.

Actionable Tips

Upgrade Evidence Quality

Prefer primary sources and reproducible data; add sample size, confidence, or error bounds.

Design Falsification & Checks

List observations/experiments that would disconfirm the claim; use controls/blind tests.

Rewrite for Testability

Make vague statements specific with conditions, scope, and timeframe to be measurable.

Related Models

Critical Thinking

Core model for rational analysis and argument quality; pairs with this tool.

Featured Templates

News Fact-Check

Fact-check workflow

Assess the credibility of public news topics with cross-source validation.

  • Combine official and third-party datasets
  • Remind to review methodology and station changes
  • Highlight documenting meteorological or other factors

Product Claim Evaluation

Experiment + Funnel Analysis

Evaluate product iteration impact on key metrics with attention to experiment design and channel mix.

  • Combine A/B experiment results with funnel metrics
  • Remind to control acquisition channel mix and seasonality
  • Highlight continued monitoring before full rollout

Paul-Elder Classroom Review

Paul-Elder Framework

Evaluate classroom discussions or essays by focusing on purpose, questions, and assumptions—ideal for education.

  • Prompts to review purpose, key questions, and assumptions
  • Encourages citing class materials and external sources
  • Adds counter viewpoints to avoid groupthink

RED Decision Retrospective

RED Model

Supports product/ops teams in retrospectives by identifying assumptions, evaluating arguments, and drawing conclusions.

  • Map assumptions to supporting evidence
  • Capture dissenting views to avoid confirmation bias
  • Summarize conclusions into next-step actions

Workplace Risk Assessment

Risk Control Framework

Designed for workplace briefings and exec reviews, balancing compliance, cost, and alternatives.

  • List regulatory requirements and internal policies
  • Include financial sensitivity analysis
  • Prompt contingency planning and accountability mapping

FAQ

How to assess evidence quality?

Check source credibility (primary/secondary), methodological transparency (reproducibility), data completeness (sample/time window), and causal explanatory power to the claim.

How to avoid cherry-picking?

Search for both pro and con evidence; log retrieval strategy; run a reverse search before export to reduce confirmation bias.

Difference between conclusion and claim?

The claim is the proposition under evaluation; the conclusion is the recommendation after weighing evidence and counterarguments (adopt/keep/hold, etc.).

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Claim Evaluation Sheet – Thinking Model Tool | Zen of Thinking