Diverse and fragmented data sources 

Training data often exists in silos, making it difficult to access and consolidate, which hinders a holistic view of training outcomes and can result in valuable data going unused. 

Inconsistent evaluations 

Manual and inconsistent evaluation methods reduce the reliability of results, leading to gaps in understanding performance and readiness. 

Limited insight into training gaps 

Identifying specific areas of underperformance or training gaps is often challenging, meaning those areas that need most focus can be overlooked. 

Demonstrating Return on Investment (ROI) 

Defence organisations often struggle to quantify the impact of training on overall readiness in easy-to-understand formats, making it difficult to justify budgets and resource allocation. 

Collecting high quality data 

Ensuring the collection of high-quality data during training events is often challenging and is dependent on observers reporting after-event. This leads to incomplete or inaccurate evaluation of training outcomes. 

Ineffective feedback loops 

Lack of timely and structured feedback based on high quality data makes it difficult for trainees and planners to adapt and improve in real-time. 

Utilising live performance data 

Limited capability to monitor exercises in real-time and make live adjustments reduces the effectiveness of training events and impacts the ability to achieve training objectives.