3. 110 753
The YourView community is maintained and administered by KLA, a renowned and well-established
market research agency that provides research services and insights to numerous South African
companies, including blue chip clients in the financial services, telecommunications and FMCG industries.
7. Education Level
Less than a high
school matric
MaritalStatus
EmploymentStatus
Undisclosed
Undisclosed
Highschool Matric Diploma/
Certificate
Graduates/
Post Graduates
Single Co-habituating
Married
8% 21%
37% 19% 15% Unemployed
Employed full time
Employed part time
Self-employed
Intern/apprentice
Stay-at-home parent
Student
Other
Undisclosed
20%
24%
5%
9%
1%
2%
17%
1%
21%
15% 51% 17% 21%
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8. How KLA’s digital
communities differ from
other solutions
Quality Assurance
In survey quality checks
We ensure high quality data collection through our in-survey
quality controls.
• Digital fingerprint through IP address and browser cookies
• Automatic quarantine of bad responses
• Unique survey response ID
• Demographic validations and red herring questions
Demographic validations on age, gender, and province, allows us to flag and
remove fraudulent responses. Automatic quarantine is applied to spot straight
lining/patterned responses and speeding. In addition to these we can enable
auto quarantine of gibberish verbatim and trap/red herring questions. With all
these measures we can ensures both the quality and uniqueness of responses.
At survey launch (unique and random) response ID's are appended to each
survey link that goes to the panel and are returned upon completion to
incentivise.
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9. Quality Assurance
Genuine respondents
at recruitment
We ensure that your surveys are only
completed by unique respondents
through our system quality checks.
• Double opt-in process as per ESOMAR
guidelines
• Email verification
• Unique mobile number
Systems checks are conducted daily for bad
emails, banned domains, unsubscribes,
duplicate email and duplicate mobile number.
Manual duplicate account checks are done
monthly searching for duplicate registrations
using profiling data like other contact details,
similarities in email address and other data
points.
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10. Quality Assurance
Data processing and
cleaning
We ensure high quality data by making
sure the data is correct, consistent and
useable.
• Length of interview
• Sanity checks
• Junk open ends
• Outliers
Data cleaning stage : Fraudsters if found, are
blocked and blacklisted after their data is
removed.
The manual and automated checking of these
quality measure ensure that the data collected
is logical, consistent and meets the
requirements (accurate open ends) of the
study.
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