Our Quality Management
R4I Research upholds quality control through three key avenues: panel quality, data quality, and information security quality, ensuring the maintenance of our elevated standards and the robustness of our online research platform
R4I RESEARCH Our Quality Management
1. Panel Quality
Panel quality management is paramount to guarantee the reliability of survey outcomes. Including respondents of subpar quality can skew survey results and compromise accuracy. At R4I, we regard it as our duty to manage, uphold, and safeguard the quality of respondents.
Quality Management of the Proprietary Panel
Registration
our proprietary panels, we mandate email address, SMS, and phone number verification during membership registration.
Information Update
We update members’ attribute information annually through routine attribute acquisition surveys. This regular data collection ensures the acquisition of precise survey results.
Member Acquisition Optimization
To prevent response bias in our surveys, we strive to recruit a diverse range of members across various attributes such as gender, age, and place of residence.
Quality Management of the Cloud Panel
No Duplication
To prevent duplicated respondents and response bias, we proactively investigate and manage panelist duplication using cookies and email addresses.
Inactive Panelists Measures
To conduct accurate and effective surveys, we take measures to stop sending surveys to panelists who have not responded for a certain period of time.
Anti-Fraud Measures
We check our survey response data for detection of inconsistencies of basic attributes: straight-lining, bot respondents, speeders with extremely short response time, duplicated cookies, etc. We do not send any more surveys to the respondents who meet certain standards for fraud. We also conduct quality check surveys periodically to control the respondents who may have answered untruthfully or fraudulently.
Educational Survey and Trap Survey
We conduct periodic educational surveys with our panels to encourage appropriate responses and enhance their awareness and survey knowledge. Additionally, we detect inconsistencies in basic attributes and contradictory responses through trap surveys, which include trap questions. Respondents who meet certain fraud criteria are no longer sent surveys.
Automatically detects and eliminates 'Ghost Completes'
R4I proprietary technology analyzes fraudulent responses and has developed and implemented a feature to automatically detect and remove 'Ghost Completes'.
2. Data Quality
R4U ensures the provision of unbiased and representative data in our survey results through our data quality management process. We uphold a high standard of quality by employing technology-based quality control and conducting rigorous data checks, overseen by our team of professional research operators
Before Surveys
- Ensuring questionnaire preview and verification
- Implementing survey logic management to prevent contradictory responses
- Cross-checking questionnaires with a third-party
- Standardizing service quality by harmonizing the workflow of each operator
During Surveys
- Preventing panelist duplication through cookie-based measures
- Automatically determining the optimal number of survey distributions using our technology
- Implementing survey logic management to deter fraudulent respondents
- Verifying response status and collecting survey data in real-time
After Surveys
- Cleaning raw data
- Removing inconsistent responses, responses from speeders, and obviously fraudulent open-ended responses
- Systematically identifying and excluding fraudulent data through straightforward aggregation
In addition to the aforementioned practices, R4I is involved in a diverse array of activities and initiatives to uphold data quality. These include tailored data cleaning based on panel characteristics and survey objectives, designing and programming with the multi-device era in mind, managing question volume, industry awareness campaigns, and various other endeavors.
We have also instituted a comprehensive data management system for client-provided information. As the world’s 9th largest consumer panel provider, we persist in enhancing both quality and technical infrastructure.
* The above is a partial excerpt of the process we are following for our full-service survey.
* The process varies depending on the service provided.
3. Information Security Quality
Research4Insights, or R4I, hosts the world’s largest consumer network for digital market research, boasting over 1 million research participants across 130+ countries. This vast network spans more than 4,500 individual market research panels and sample sources. R4I’s platform includes a unique and transparent marketplace environment known as the Insight Exchange. Here, buyers and sellers of sample can connect and transact in real-time, matching a seller’s market research panel and respondent profiling data with the buyer’s sampling needs. This makes R4I the most effective and efficient method for accessing sample to conduct digital market research at scale and with speed.
Founded in Texas, USA in 2012, R4I has gained the trust of over 2,600 agencies, researchers, and brands across more than 72 countries worldwide. Innovation has been a cornerstone of R4I’s growth since its inception.
Panel and sample source partners in the R4I platform encompass market research agencies, media owners, publishers (both digital and traditional), non-profits, and companies with access to extensive web traffic. All panels adhere to consent or other legal bases for processing personal data and operate in compliance with ISO 20252 standards. Additionally, these are supplemented by meticulously chosen and vetted supplemental panel-based sources.
All panels accessed via the R4I platform are operated in compliance with accepted industry codes, including, but not limited to ESOMAR and the Insights Association.