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Access High-Quality Data with Hanover

You make important decisions based on data and you need to be able to rely on it. However, increases in bot responses and fraudulent data mean you risk skewed insights.

Hanover takes multiple steps to ensure any insights we provide are based on clean, accurate data. Our commitment to data quality means you get results you can rely on, every time.

Surveys Collected Annually
1 + Million

How do we do it?

Our approach blends hands-on expertise with AI technology to ensure a thorough data cleaning process without sacrificing timeliness or urgency. This includes our proprietary data validation tool that evaluates data for poor quality and fraudulent results to ensure the insights you receive are accurate and actionable.

Hanover’s commitment to data quality

We work with top providers in the field to source respondents and actively monitor the quality of results to ensure data is credible.

If we don’t think we can provide an adequate sample size for your project, we will work with you to adjust the scope and design a new approach — one that will produce quality data that fully answers your questions.

Make Decisions Based on Verified, Credible Data

How Hanover ensures data quality



Research methods are developed by subject matter experts to ensure accurate and actionable results.


Hanover’s research experts help craft focused instruments to ensure clients get the answers they need. Questionnaires are optimized for insight and designed to minimize drop-off, fatigue, and response bias. Hanover’s method experts design custom attention checks and knowledge-based screening questions.


Sample Size

Sampling plans are created so that respondents match the client’s target audience in terms of characteristics and overall distribution. Hanover has a trusted network of third-party panel vendors who help to reach the client’s target audience. We also work with client-provided lists for customer-based research.


Questions are translated into the native language of respondents to ensure accurate responses.
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Quality Control

Respondent Validity

Each respondent is given a data quality score that evaluates respondent characteristics (e.g., age, seniority level) and those who fall below the threshold are removed.

Data Quality

We include an additional layer of security via a proprietary tool to detect poor quality, duplicate, bot, or fraudulent responses (such as bots) by looking across a wide range of quality measures.

Data Validation

Our experts personally review the data — particularly open-ended question data — to flag nonsensical and out-of-context responses and to consider additional logic traps that were not programmed into the survey that can invalidate the data.


Suppliers are regularly assessed to monitor the quality of their data and are suspended or blacklisted when they fail to uphold Hanover’s data quality standards.

Make decisions based on verified, credible data.

Become a client

Access the best custom research to help hit your organization’s goals. Request your custom consult below and a member of our team will be in touch.

Have questions? Please visit our contact page.

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