Research
Four studies. One quantified view of the technology's impact on food safety performance.
FSTR's inaugural research agenda combines an anchor benchmark study
with three companion studies, together forming a full advisory platform for solution providers and operators.
Participate
Contribute to any active study by launching a survey.
01
Flagship · anchor program
Food Safety Digital Maturity Benchmark
Hypothesis: Digitally mature organizations achieve lower contamination risk, reduced downtime and waste, and faster corrective action cycles.
Key dimensions
- Digital maturity stages (manual → fully integrated)
- Operational KPIs (uptime, scrap, rework)
- Risk KPIs (audit outcomes, recalls)
- Preventative behavior metrics
Outputs
- Industry benchmark report
- Maturity model framework
- ROI quantification of digital adoption
02
Companion study
Drivers of Food Safety Tech Investment
Hypothesis: Understanding the relative weight of regulatory vs. economic drivers should help to shape food safety budgets.
Key dimensions
- Regulatory vs. economic drivers
- Budget allocation trends
- Decision-making hierarchy
- Risk management emphasis
Outputs
- Buying-committee map
- Budget trend report
- Solution provider positioning playbook
03
Companion study
The ROI of Environmental Monitoring & ATP Automation
Hypothesis: Quantifying the ROI of adoption and deployment of rapid testing technologies will help stakeholders make sound investment decisions.
Key dimensions
- Adoption rates of rapid testing technologies
- Pain points in current workflows
- Solution provider perception analysis
- Growth indicators and barriers
Outputs
- Adoption & growth report
- Solution provider brand perception index
- Workflow friction analysis
- ROI analysis
04
Companion study
Data & Analytics Utilization
Hypothesis: Barriers causing slow adoption of AI and automation will impact how organizations turn food safety data into action.
Key dimensions
- Time-to-insight / time-to-action benchmarks
- Data integration maturity
- AI / automation adoption trends
- Key barriers to entry and how to overcome them
Outputs
- Data maturity scorecard
- AI adoption barriers report
- Integration reference architecture
Method
Primary, survey-based, statistically rigorous.
Each study is designed around hypothesis-driven survey frameworks developed by FSTR in partnership with our esteemed SME network. Our global audience and survey panel is comprised of subscribers and association partnerships that ensure representative participation across operator scale, geography, and category.