Evaluation of NHSE Education Quality Data Indicators
Overview
Summary, notice description and lot information
The procurement process initiated by NHS England is currently in the Tender stage, focused on the "Evaluation of NHSE Education Quality Data Indicators." This initiative falls under the services category, specifically health services (CPV code 85100000). The procurement is being conducted through an open competition method classified as below threshold.
The tender is based in London, United Kingdom, with key dates including an enquiry period ending on 22 December 2025 and a submission deadline on 12 January 2026. The contract period will commence on 9 February 2026 and conclude on 30 June 2026. The procurement's legal framework is established under the UKPGA 2023/54 legislation.
This tender provides significant opportunities for businesses focused on data validation, statistical analysis, and health services. Given its emphasis on independent evaluation and statistical modelling of large data sets, companies with capabilities in data analytics, educational consultancy, and healthcare assessment will find this tender highly relevant. With an estimated contract value of £72,000, it is particularly suitable for small and medium enterprises (SMEs) and voluntary, community, and social enterprises (VCSEs).
The evaluation criteria prioritise technical expertise (70%), complemented by commercial viability (20%) and social value contributions (10%), positioning businesses with strong technical services in a competitive stance in this procurement process.
The National Education and Training Survey (NETS) launched in 2019 and has since provided the only national platform to collect feedback from learners and professionals working across the full breadth of the health and care system. This insight into learner experience is vital in reducing student attrition, improving workforce retention and reducing inequalities and discrimination. The NETS questions have evolved over time and additional features, such as professional branching, have been added.
After six years it is important that the current question set is independently validated for content and dependability along with the statistical model used to analyse the response dataset. The NETS now produces millions of individual data lines. As such, it is important that the questions and statistical model are appropriate, robust and offer a framework from which evidence-based decisions can be made.
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