Perspective Chapter: Voices with Value – Safeguarding Data Quality in Employee Surveys
Abstract
This chapter explores how organizations can uphold high standards of data quality in internal employee surveys. From pulse checks to engagement and satisfaction tracking, employee surveys play a vital role in shaping workplace strategy and culture. This chapter examines both risks and best practices across the entire survey lifecycle, from design and distribution to analysis and reporting. Drawing from legal, ethical, and technical perspectives, the chapter addresses core data quality dimensions such as accuracy, transparency, and security. Key themes include consent, anonymity, and data governance. Practical tools and real-world examples are used to illustrate how integrity and assurance can be embedded into feedback systems, empowering organizations to make responsible decisions based on employee data.
Fields of Study & Subjects
Data Quality and Management
Survey Methodology and Nonresponse
AI and HR Technologies
Publication details
- Journal / source
- IntechOpen eBooks
- Publication date
- 23 February 2026
- Language
- EN
- Document type
- Book chapter