Project Overview
KICT Inc. delivers professional finance training programs to corporate teams — but they faced a persistent challenge: training was being delivered the same way to everyone, regardless of where individuals actually stood in their skills. Trainers had no reliable way to understand each learner's starting point, which meant personalisation was guesswork and satisfaction scores reflected it.
The brief was to build a tool that could collect meaningful data on both soft skills and technical finance skills at the individual level — then make that data actionable for trainers. The tool needed to benchmark each participant against their team and company average so gaps became visible at a glance, not buried in spreadsheets.
I designed and built an AI-powered Finance Skills Assessment Tool that captured granular individual data across a structured set of soft and technical competencies. The tool automatically compared each participant's scores to their team average and organisation-wide benchmarks, generating clear insight reports for trainers to act on before a single session began.
The result was a step-change in how KICT's trainers approached program design. Instead of delivering one-size-fits-all content, they could identify which teams needed foundational technical work, which individuals were strong in soft skills but weak in technical execution, and where to focus time for the greatest impact. Companies also gained a clearer picture of their team's actual capability — not just what they assumed. Training satisfaction improved measurably as sessions became more targeted and relevant to each organisation's real needs.
Tool Walkthrough
