Product Insight Intern: Fleet Data to Decisions

LionsBot International; Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

LionsBot International offers a Product Internship to turn fleet data into actionable product decisions across global deployments. You will collaborate with data analysts, UX researchers and engineers to translate observations into requirements and prototypes.

You will extract telemetry, conduct user research, wireframe improvements in Figma, and draft clear acceptance criteria for features while learning release planning and measurement practices.

Responsibilities

• Extract, clean and analyse fleet telemetry from LionsCloud and build a recurring dashboard that reports fleet health by product line and region.
• Consolidate field incident and voice-of-customer records into one tracker and produce monthly fleet-normalised prevalence analysis.
• Run structured user research with cleaning operators, service technicians and distributors, including on-site observation at customer deployments, and turn the findings into journey maps and a prioritised list of friction points.
• Wireframe and prototype improvements to the on-robot interface and the LionsCloud web and mobile app in Figma, then run lightweight usability tests with five to eight operators per iteration.
• Write requirement briefs and user stories for the top-ranked improvements, including acceptance criteria, and support the Product Manager through release planning and release-note review.
• Own one small feature end to end under supervision: problem definition, data evidence, design, specification, validation, and post-release measurement.

Job description

LionsBot International offers a Product Internship to turn fleet data into actionable product decisions across global deployments. You will collaborate with data analysts, UX researchers and engineers to translate observations into requirements and prototypes.

You will extract telemetry, conduct user research, wireframe improvements in Figma, and draft clear acceptance criteria for features while learning release planning and measurement practices.