Marketing Research and Insight Glossary

Definitions, common uses and explanations of 1,500+ key market research terms and phrases.

What is Back Checking?

Research Topics:
Data Quality | Quantitative Research
Content Type:
Glossary
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Back Checking Definition

The process of ascertaining and recontacting respondents to confirm that interviews were conducted correctly. More commonly known as validation.

What is back checking in marketing research?

Back checking is a quality-control technique used in marketing research to confirm the accuracy and authenticity of collected data. It involves recontacting a subset of respondents after their initial survey or interview to verify that the interview took place as reported and that responses were recorded correctly.

How does back checking work?

Researchers typically select a random percentage of completed surveys for verification. Respondents are then recontacted and asked a shorter version of the original questionnaire or key validation questions. Their answers are compared with the original data to ensure consistency and accuracy.

Key aspects of back checking

  • Confirms that respondents were genuinely interviewed

  • Validates that responses match what participants recall

  • Identifies interviewer errors, bias or fabrication

  • Helps maintain credibility of the research process

Why is back checking important in marketing research?

Back checking safeguards the reliability of data by catching mistakes early. It minimizes the risk of compromised findings, protects clients from making decisions on faulty data and strengthens the reputation of the research agency or team conducting the study.

Who relies on back checking?

  • Research agencies use it to ensure staff follow correct procedures

  • Clients and stakeholders depend on it for trustworthy insights

  • Data quality teams monitor it as part of compliance and validation standards

How do market researchers use back checking?

Market researchers apply back checking as a routine step during data collection. By systematically recontacting respondents, they detect inconsistencies, prevent data falsification and reinforce confidence in the final results that guide marketing strategies and business decisions.