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Our Methodology

How we create automated, data-driven comparisons that help you make better decisions.

Overview

Every comparison on ThatWhat follows a rigorous, systematic process designed to ensure accuracy, objectivity, and clarity. We combine automated data collection with structured analysis to deliver comparisons you can trust.

Our methodology is built on three core principles: comprehensive data gathering, objective analysis, and clear presentation of results.

Data Collection

Primary Sources

We gather data directly from:

  • Official manufacturer specifications
  • Product documentation and datasheets
  • Verified retailer listings
  • Published technical reviews
Data Verification

Every data point is cross-referenced across multiple sources to ensure accuracy. We prioritize:

  • Consistency across sources
  • Most recent available information
  • Official specifications over third-party claims
  • Standardized units and measurements

Comparison Process

1. Specification Mapping

We extract and normalize key specifications for both products, organizing them into comparable categories such as performance metrics, features, pricing, and design elements. This ensures apples-to-apples comparisons.

2. Feature Analysis

Each product's features are cataloged and compared across multiple dimensions. We identify unique advantages, shared capabilities, and notable differences that matter to users.

3. Contextual Evaluation

We analyze how each product performs in different use cases and scenarios. This helps us identify which product excels in specific contexts, ensuring our verdicts account for varied user needs.

Verdict Generation

Objective Scoring

Products are evaluated using weighted criteria based on category-specific importance. Performance metrics, value, and feature completeness all factor into the final score.

Clear Winner

When one product clearly outperforms across most criteria, we declare a definitive winner with a concise explanation of why it's the better choice.

Context Matters

We always include "it depends" scenarios—when the alternative might be better for specific needs, budgets, or use cases. No one-size-fits-all verdicts.

Quality Assurance

Before any comparison goes live, it undergoes a quality check to ensure data accuracy, logical consistency, and clarity of presentation. We verify that all specifications are current, all claims are supported by data, and the verdict is well-reasoned.

Comparisons are regularly reviewed and updated as new information becomes available or products evolve. Our goal is to maintain the highest standard of accuracy and usefulness.

Our Commitment to Transparency

We believe in transparency. Every comparison shows the data we used, the criteria we evaluated, and the reasoning behind our verdict. You can see exactly how we arrived at our conclusions.

If you notice an error or have questions about our methodology, we encourage you to reach out. Continuous improvement is part of our process.

Decisive comparisons, no fluff.

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