Savanta_37_online_sample_questions_US

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37 QUESTIONS TO HELP BUYERS OF ONLINE SAMPLES Data quality and validation 23. How often can the same individual participate in a survey? How does this vary across your sample sources? What is the mean and maximum amount of time a person may have already been taking surveys before they entered this survey? How do you manage this? Individual levels of survey participation will depend on passing the internal and external quality assurance measures. On all of our surveys, we make use of technical de-duplication tools with device fingerprinting to prevent the same respondent from accessing the same surveys. On our proprietary tool, more widely, users are assessed technically and manually for quality measures. 24. What data do you maintain on individual participants such as recent participation history, date(s) of entry, source/channel, etc? Are you able to supply buyers with a project analysis of such individual level data? Are you able to append such data points to your participant records? As part of our quality assurance measure, we are able to view individual survey data at an aggregate and micro level. This information will be used to assess eligibility for survey participation and membership of our internal assets. 25. Please describe your procedures for confirmation of participant identity at the project level. Please describe these procedures as they are implemented at the point of entry to a survey or router. We have implemented various security measures during the registration and survey entry process to ensure that our respondents are genuine and authentic. These measures include duplicate IP prevention, reCAPTCHA, digital fingerprinting, duplicate email detection, VPN blocking, and double opt-in. When respondents enter the survey, their data is encrypted to protect their privacy. Along with reCAPTCHA and digital fingerprinting, we also use pre-screeners to verify the integrity and authenticity of the data. Furthermore, our panel management platform monitors and identifies speeders, straight-liners, and poor verbatim responses, generating a report for the operations and panel teams to take appropriate action. savanta.com 12
37 QUESTIONS TO HELP BUYERS OF ONLINE SAMPLES Data quality and validation 26. How do you manage source consistency and blend at the project level? With regard to trackers, how do you ensure that the nature and composition of sample sources remain the same over time? Do you have reports on blends and sources that can be provided to buyers? Can source be appended to the participant data records? Savanta carefully selects a combination of survey participants for each project, taking into consideration the specific requirements of the project. When it is important to compare survey results with previous studies or database norms, Savanta pays close attention to managing the selection process in order to maintain consistency over time. This is crucial because any changes in the sources or the contribution from those sources can affect the data. For tracking projects, the aim is to consistently maintain a balanced blend of participants throughout the agreed-upon period and avoid any unexpected changes that could impact the data. Savanta follows industry best practices by managing quotas by supplier, ensuring a consistent pool of participants from each source in the blend. The feasibility of the participant blend is thoroughly assessed throughout the project’s lifecycle, taking into account any exclusion periods to ensure the project’s long-term sustainability. Blend reports, along with panel sources, can be provided and appended to individual participant data records upon request. 27. Please describe your participant/member quality tracking, along with any health metrics you maintain on members/participants, and how those metrics are used to invite, track, quarantine, and block people from entering the platform, router, or a survey. What processes do you have in place to compare profiled and known data to in-survey responses? Respondents survey metrics, including the percentage of survey fails by our research tech anti-fraud technology, and the percentage of removals from surveys, are tracked alongside other health metrics at an individual and aggregate level. This data is used to block entry to individual surveys and to facilitate the procedural panel quality assurance processes. The operations and research teams work in conjunction to ensure the validity of the data and respondents. savanta.com 13
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