Sift / Methodology
Transparency
Our principles and methodology.
How we score products, and why independence matters.
Sift Core Index
How scoring works.
Sift uses natural language processing to determine sentiment. We don't simply count keywords.
Our algorithm assigns weight based on context, source credibility, and consensus. A highly upvoted, detailed analysis carries more weight than a short, generic comment.
Scores reflect a composite of sentiment, ingredient quality, value for money, and reported experiences across multiple sources.
Weighting
Not every voice
counts the same.
Core principles
- No sponsored placements
- No affiliate links or kickbacks
- No brand partnerships affecting scores
- Independent data aggregation throughout
Platform limitations
Where Sift stops.
Not every product has enough data to form a score. If a product is too new or too niche, Sift will indicate insufficient data rather than guessing.
Sentiment is also a snapshot in time. It can change as products are updated, reformulated, or as new information emerges.