AI-enabled Professional Standards Assessment and Training Needs Analysis (Individuals and Organisations)

Note, this is a contract award notice and not a call for competition. The Education and Training Foundation (ETF) intend to award a contract for the provision of an AI Professional Growth Coach Platform.

ETF is the professional body for the further education sector, supporting practitioners and providers with continuing professional development, quality improvement and sector development. ETF has multiple assessment tools in use and sought a supplier to consolidate them under a new Digital and AI Framework with clear outputs and CPD pathways.

ETF has an agreed technology direction: the desired skill scan solution needed to be a web-accessed application surfaced via ETF's Umbraco website, leveraging Azure B2C Single Sign-On already in place; core business data resides in Microsoft Dynamics 365 CRM. Scope of work: The Education and Training Foundation (ETF) has procured a supplier, following its internal competitive Request for Quotation process, to design, develop and implement a new digital assessment and CPD‑support platform for the Further Education sector.

The scope of the contract includes: 1. Professional Standards Assessment Development of a digital self‑assessment tool aligned to the ETF Professional Standards for Teachers, Trainers and Leaders.

The solution will capture confidence and frequency scores, reflective comments, and generate both quantitative and qualitative insights. Organisational-level benchmarking and automated links to CPD recommendations are required. 2.

Training Needs Analysis (TNA) Creation of integrated Individual (ITNA) and Organisational (OTNA) Training Needs Analysis functionality. The platform must identify priority training gaps, produce visual outputs (including web/spider diagrams), support strategic workforce planning, and enable evaluation across impact, engagement, and workplace transfer of learning. 3.

CPD and PDP Integration A fully connected workflow between assessment outputs, CPD resources and Personal Development Plans (PDPs). Individuals must be able to set priorities, track progress, record reflections, and achieve milestones.

Completed CPD should update PDPs automatically, with features to promote learner engagement and motivation. 4. AI‑Driven Recommendation Services Implementation of explainable AI to map assessment results to relevant CPD opportunities from ETF’s offer, its LMS, and appropriate external content.

The service must support personalisation based on learner preferences such as time availability and learning style, while including mechanisms to detect and minimise bias. 5. Reporting and Evaluation Delivery of dashboards for individual, organisational, and sector‑level reporting.

Outputs must cover training priorities, confidence–frequency diagrams, evaluation metrics, and benchmarking (subject to consent). Data exports to CSV/Excel and integration with Power BI are required. 6.