Improving youth satisfaction with RBC Upskill

About RBC Upskill As part of RBC Future Launch, our commitment to prepare Canadian youth for the future of work, we create RBC Upskill, a four step digital experience that leverages a proprietary algorithm built on open source data, and RBC Economics research. Upskill assesses a user's skills based on their previous work experience, and provides job recommendations that align to the user's interest, or their skills. The outputs incorporate projections for industry growth, susceptibility to automation and median wage. About the challenge RBC has collected 6,000 + records through www.rbcupskill.ca in the first month after launching. We're looking for insights that will enable us to improve the user experience, deliver more relevant and meaningful results, and inform our larger strategy around preparing youth for the future of work. · What factors drive user satisfaction (as measured by the survey)? · How could the algorithm be refined to produce more meaningful results? · Who are our users? · How can machine learning be integrated into the platform to continue improving the results over time? More broadly, how closely do users’ skills align to those skills currently in high demand? · What are the opportunities for RBC to maximize the impact of its charitable donations by offering in-demand training? About the data: The data set is stored in JSON format and each complete record will contain the user's age, previous work experience, time in role, education level achieved, interests, a rating for 31 different skills produced by the algorithm, the user's changes (if any) to the algorithm output, and an ordered ranking of 292+ jobs, and for some records, a satisfaction survey response.