HowGood's Methodology for Measuring Sustainability

An overview of HowGood's methodology for measuring sustainability, for use in external communications.

Jemima Snow avatar
Written by Jemima Snow
Updated this week

How does HowGood measure sustainability?

HowGood assesses the environmental and social impact of products across 8 core sustainability metrics.

  1. Greenhouse Gas Emissions: What is the carbon footprint (cradle-to-farm gate) of the ingredients in this product?

  2. Processing: How much energy is used to process the ingredients in this product?

  3. Blue Water Usage: How much "blue water" does it take to grow the ingredients in this product?

  4. Biodiversity: Does the growing of the ingredients in this product help or harm biodiversity?

  5. Soil Health: How does the growing of the ingredients in this product impact the soil?

  6. Land Occupation How much land is required to produce the ingredients in this product?

  7. Animal Welfare: If relevant, how are the animals involved in the production of an ingredient treated?

  8. Labor Risk: What is the overall labor risk involved in the ingredients in this product, considering both the severity of the working conditions and the number of people affected?

These 8 metrics are evaluated on a spectrum from negative to positive impact. For some metrics, this illustrates impact from degenerative to regenerative. Products receive a score of 1-10 for each metric.

HowGood Impact Score

A product’s individual metric scores are consolidated to produce an overall product impact score. Each of the 8 sustainability metrics are weighted equally to yield a HowGood Impact Score out of 100. The HowGood Impact score gives a comprehensive view of the impact of a product.

See the example below for an illustration of how a product with multiple ingredients would be assessed.

What is HowGood’s process for measuring sustainability?

Through an ongoing process of exhaustive data collection, analysis of peer-reviewed science, and a progressive heuristic approach to mapping and assessing the data collected, HowGood has developed the world’s largest product and ingredient sustainability database.

Step One: Data Collection

The foundation of HowGood’s global data is a diverse and continuously updated collection of data sources, including peer reviewed journal articles, academic conference proceedings and texts, aggregated commercial databases, targeted industry studies, NGO research, and government publications.

We use a mix of qualitative and quantitative data sources and for each source, we perform a data certainty assessment based on the age and comprehensiveness of the findings. This process is completed for every impact metric in the HowGood system, and for every ingredient on which there is accurate and verifiable data.

One of these data sources is the USDA National Organic Program, which provides:

  • Lists of specific synthetic and organic chemical fertilizers, pesticides, herbicides, and fungicides

  • Detailed set of animal welfare & husbandry standards, including feed, access to pasture, housing, and disease treatment

  • Data for derived tiers of organic material percentage in products, ranging from 0% - 100% (Levels 1-5) Organic

  • Individual products, ingredients, suppliers, and manufacturers that achieve USDA Organic Certification

And that’s just one of 600+ data sources that HowGood uses.

Step Two: Ingredient Mapping

Once the data is collected and analyzed, we map every single ingredient to its source crop animal or material. Using global import/export data and HowGood industry partnerships, we then map each source crop to its corresponding geographic location to account for the specific on-the-ground practices, impacts, and risks in each locale.

Step Three: Aggregation and Heuristics

At this point in the process, we have a global map of nearly every ingredient, chemical and material in the CPG industry and where and how it is produced. This map is used to aggregate data across geographic regions or ingredient categories and develop industry-average impact profiles for each metric and every ingredient.

Based on the ingredient mapping process, the Impact Platform assigns a default location and corresponding industry-average profile for every ingredient in a product. If deeper levels of data granularity are available (from a specific supplier, industry partner, or publication), these specifics can be applied to override the industry average values.

8 Levels of Data Granularity

  1. Basic Information: Ingredient name and raw material feedstock(s) with % inclusions.
    Example: Feedstock = 80% Corn, 20% Stevia Leaf

  2. Country of Origin & Certifications: Country of origin and 3rd-party certifications for raw material feedstock(s).
    Example: Corn – Germany, Stevia Leaf – China, Organic

  3. Production Practices: Specific agricultural or raw material feedstock extraction/production practices.
    Example: Corn – No-Till & cover-cropping.

  4. Detailed Geographic & Primary Data: Detailed source location of raw material feedstock(s) and processing.
    Example: province, postal code, farm name, or geospatial coordinates AND/OR Primary data collected from agricultural landscapes and processing. Examples: processing line energy use; soil tests, fertilizer & pesticide application amounts, biodiversity assays, other methods of measuring inputs and outcomes on-farm.

  5. LCA Metric-Ready Results: methodologies, system boundaries, attributional or consequential.
    Example: 0.6 kg CO2e / kg. IPCC GWP 100yr, Farm to Gate, APOS

  6. LCA Model Details: Brief written description of the LCA study, including agricultural production assumptions (location, scale, agricultural practices) and processing methodology.

  7. LCA Model Narrative: Full written narrative report on the modeling approach, removing any confidential information.

  8. LCA Full Inventory: Full Life Cycle Inventory including references for secondary or tertiary data.

With each new data partner, publication, or client relationship, we receive new insights that are then integrated into our larger systems map. As a result, HowGood’s global database becomes increasingly granular over time. If for some reason, we are unable to find a perfect match for a particular ingredient, we use an internal proxying protocol to identify the most appropriate comparable data.

Step Four: Impact Spectrum

Perhaps the most important step in the HowGood methodology, we harmonize all the data collected on any single impact metric by plotting each practice along a single line: the impact spectrum. This is done while keeping the entire CPG ecosystem in mind, enabling a clean transition from theoretical to practical application.

On the degenerative end of the spectrum, we find damaging, extractive, oppressive, and/or abusive practices. Sustainable, the mid-point, is a "net-zero" perspective, that doesn't cause harm but also doesn't improve. Regenerative not only avoids harm, but it also improves, develops, and heals.

For labor risk, for instance, on the degenerative end you would find forced child labor, forced labor, bonded migrant labor, critical low pay, and permanent debt. Toward the middle of the spectrum, you might find the minimum viable income, critical debt, and consistent risk of loan default. Regenerative would include living wages, strong and healthy unions/collective bargaining, and socioeconomic development.

Step Five: Threshold Setting

With the full spectrum of impacts in place, we determine the thresholds to set for each score. Most spectrums are not divided into even quintiles, but rather are carefully portioned out to avoid a bell curve of impacts with the majority of products falling into the middle. HowGood's threshold distribution is shown below.

The thresholds are set with one primary goal in mind: to deliver practical, actionable insights for differentiating between two ingredients or whole products. Each quintile represents a score bracket of 2, which adds up to a score out of 10 for each metric. Each metric is then weighted equally and rolled up into a HowGood Impact Score out of 100.

What methodologies and data sources does HowGood use to assess sustainability?

HowGood employs industry-recognized methodologies and incorporates data and findings from over 600 accredited data sources and certifications globally. Check out the links below for some of the top sources that HowGood’s research team leverages for each metric.

Sustainability Metric

Methodology

GHG Protocol; IPCC GWP100a 2013

GHG Protocol; IPCC GWP100a 2013

Global Water Footprint Standard 2011

ReCiPe 2016

Bioversity International ABDI 2019

UNGP Human Rights Risk Reporting Framework [SHIFT] 2015

Bioversity Intl & HowGood Standard 2020

Global Animal Partnership Standard 2020

What is HowGood’s approach to research?

HowGood has 17 years of research on global food supply chains. The team consolidates and analyzes findings from over 600 accredited data sources and certifications. These include a range of resources such as peer reviewed Life Cycle Assessments (LCAs), journal articles, academic conference proceedings and texts, aggregated commercial databases, targeted industry studies, NGO research, and government publications. HowGood employs the most industry-recognized methodologies and ensures that the latest scientific research is incorporated. Metrics and impact assessments are updated accordingly, on an ongoing basis, making HowGood’s platform the leading-edge tool for product sustainability. In turn, HowGood is able to provide impact assessments that are always accurate, comprehensive, and the most up-to-date. Through the HowGood platform, we are able to scale this approach across products, brands, and the entire food industry.

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