The Food Quality Framework
Our methodology for scoring and classifying dog food based on label transparency, ingredient quality, and nutritional balance.
Very Good (80–100)
Premium Nutrition
Highest quality animal protein as the first ingredient. Transparent, named ingredients with no vague derivatives. Minimal processing and high nutritional density.
- Named meat (e.g., "Fresh Chicken") first
- Fully transparent ingredient list
- No major red-flag additives
Good (65–79)
Solid Baseline
Reliable protein source, generally good ingredients with some minor limitations in transparency or slightly more fillers than the top tier.
- Named meat in first two ingredients
- Decent analytical profile
- Acceptable cereal or vegetable content
Regular (45–64)
Utility / Budget
Complete and legal, but often filler-heavy or vague on specific ingredients. Frequently found in supermarket house brands.
- High cereal or carbohydrate content
- Vague terms like "Meat and Animal Derivatives"
- Lower transparency on sourcing
Bad (0–44)
Low Quality
Poor quality protein sources, heavy use of artificial additives, and very low transparency. The report helps you understand these risks and provides a safe, gradual transition plan if you choose to switch.
- Artificial colours or preservatives
- Poorly defined animal protein
- Extremely high filler/cereal content
The Six Dimensions of Analysis
1. Protein Clarity
Is the protein source named (e.g., Chicken) or vague (e.g., Meat)?
2. Ingredient Transparency
Are all ingredients clearly listed with percentages where appropriate?
3. Additive Risk
Are there artificial colours, flavours, or harsh preservatives?
4. Analytical Constituents
Does the protein, fat, and ash profile match the life stage needs?
5. Claim Consistency
Do the "marketing" claims on the front match the ingredients on the back?
6. Life Stage Fit
Is the food appropriate for the dog's specific age and activity level?
Based on Global Standards
Our framework is not a series of guesses. It is built on international veterinary nutrition principles, citing sources like FEDIAF 2025, the National Research Council (NRC), and WSAVA guidelines.