Corporate Governance
Better Data. Sharper Decisions.
Privacy Policy
Protecting personal data is central to how Konovo operates. Our Privacy Policy explains how we collect, use, protect, and disclose personal data across our website, services, research activities, marketing communications, and business operations.
Responsible AI principles
Our AI is built to augment expert teams and keep humans in the loop at every stage.
AI enhances understanding of human-created data — it does not replace it.
Transparency
Clear communication on where AI is used, how outputs are generated, and what data and methods support them.
Accuracy + human oversight
AI accelerates work, but Konovo staff review and validate outputs for accuracy, context and relevance.
Bias + fairness
Systems are designed, tested and audited to detect, minimize and mitigate bias in outputs.
Accountability + governance
AI use is auditable, traceable, and governed through controls across design, development and deployment.
Privacy + security
Client and participant data are protected with robust privacy, confidentiality and security safeguards.
Survey data quality starts with the participant. Konovo’s deep profiling, rigorous recruitment and industry-leading quality measures make us the obvious choice.
Questionnaire and survey design plays a vital role in the engagement of physicians and patients during the survey experience. For this reason, high-quality survey data is a partnership between Konovo and our clients.
We differentiate between normal human behaviour, including momentary inattention and survey fatigue, versus consistent inattention and fraudulent activity.
Continuous improvement drives everything we do — especially when it comes to the quality of your insights. In a fast-moving landscape, we invest deeply in the people, processes, and technology to ensure your decisions are powered by data you can trust.
Panel Data Quality
The Three Pillars of Panel Quality
Verify
- AI-powered photo ID check
- API-based verification
- Manual reviews for anomalies
Validate
- Credentials & specialties checked
- No access before full validation
- Profiling completed pre-survey
Monitor
- Machine learning flags odd behavior
- Redemption/survey behavior tracked
- Inattentive users removed
Global Research Standards
In line with industry best practices and our commitment to transparency in research, we provide responses to the ESOMAR 37 questions—an internationally recognized set of standards designed to help buyers of market and social research understand how data is collected, processed, and protected. These questions offer a clear overview of our methodology, data sources, quality controls, and compliance with ethical guidelines. We invite you to review the answers below to better understand our approach and ensure confidence in our insights.
Always-On Survey Platform Controls
- Survey Entry Security & Deduplication
- Respondent and Response Quality Checks
- Procedures & Human Oversight
Compliance, Fraud & De-Duplication Suite
- Automated AI-driven Panelist Fraud Detection
- Proprietary Fingerprinting and Deduplication Technology
- Geolocation screening
- Proxy, TOR, BOT Detection
- Deduplication Across Partners (Pre-field and In-field)
- Adverse event detection & reporting
Automated Response Quality Checks
- Straightliner Detection
- Speed Checks (too fast, too slow)
- Outlier Responses (too high, too low)
- Short/Nonsense Open-End Responses
- Illogical Combinations
Procedures & Human Oversight
Human review within rigorous operating standards ensure quality at multiple timepoints:
Prior to Launch:
- Testing respondent failures to pre-programmed logic flags and traps
- Testing and preventing potential odd response patterns
- AI Screener / Questionnaire logic review including trigger identification for AEs using synthetic respondents
- Agentic AI for additional link testing
At Soft-Launch and During Fieldwork:
- Duplicate or Suspicious Response Patterns
- Manual and agentic AI data quality checks
- Follow-up questions / qual deep dive with participants
- AI-based analytics engine for topic tagging & coding
Responding Patterns
What Is Normal and Acceptable?
Engaged and Thorough
- All answers are consistent
- Open-end responses are expansive and detailed
Attentive but Fallible
- High levels of attention but may have momentary lapses
- Somewhat short but sensible OEs (potentially less OEs towards the end of a long survey)
- Survey length is slightly less than average
- Tripped up on confusing question(s)
- Straight-lined on 1-2 questions that did not have opposing statements
Bad Actors
- Speeds through survey in less than 1/2 the median survey time
- Consistent straight-lining, specifically on questions with opposing statements
- Multiple failed logic-checks and unlikely combinations compared to other respondents
- Nonsensical OEs (either gibberish or not pertaining to the question)
- Copy/pasted OE text
Where possible, we fit our surveying methods to the particular business needs
Third Party Vendor Management
We have created a 5-step vetting process for all our valued partners:
Do you want to be a Konovo trusted partner?
At Konovo, we believe that fostering a diverse, inclusive, and equitable supply chain is integral to our mission of delivering innovative, high-quality services and research. Our Supplier Diversity Policy reflects our commitment to sourcing services from a pool of diverse, qualified businesses. This not only supports our business objectives but also drives creativity, innovation, and enhances the overall value we offer to our clients and the communities we serve.
If you are interested in partnering with Konovo, you are encouraged to register with us via our Supplier set-up form. While registration does not guarantee immediate contract awards, it helps increase visibility and establishes a basis for future opportunities. Once registered, Konovo will review relevant opportunities and reach out when a suitable match arises.
All Konovo partners will have to commit to high standard of quality and acceptance of the Supplier Code of Conduct is prerequisite.