Over the a 12 month period, cloudfactory experienced a 25% drop in client retention primarily due to declining worker performance. This trend was particularly noticeable in projects that required high accuracy and fast turnaround times.
CloudFactory’s lack of visibility into workforce capacity and role assignments had resulted in overworked workers, underutilised resources, declining work quality and project delays.
For this hypothesis, I designed a Team Member Management solution offering a streamlined approach to workforce planning and management and shipped it working closely with PM and Eng team.
Over the a 12 month period, cloudfactory experienced a 25% drop in client retention primarily due to declining worker performance. This trend was particularly noticeable in projects that required high accuracy and fast turnaround times.
We saw a 25% decline in retention rates over the last 12 months, particularly among clients in their second wave of projects. This drop is significant among clients who request rework as it did not meet the initial quality levels benchmarked which ultimately meant a slower speed of delivery.
A data-driven approach to maximising margins and enhancing user experience. Working end-to-end shaping the way candidates are found and selected for client AI projects.
CloudFactory's user onboarding process was highly manual, relying on Google Forms and online calls. This led to low completion rates (60%) and poor engagement (30%). New users found the process tedious, unstructured, and unclear, delaying productivity and leading to a 25% retention rate over 60 days.